release v1.3.0

* Add RWKV-4 World 0.1B

* Update manifest.json

---------

Co-authored-by: josc146 <josStorer@outlook.com>

.gitattributes

@@ -0,0 +1,6 @@
+backend-python/rwkv_pip/** linguist-vendored
+backend-python/wkv_cuda_utils/** linguist-vendored
+backend-python/get-pip.py linguist-vendored
+backend-python/convert_model.py linguist-vendored
+build/** linguist-vendored
+frontend/wailsjs/** linguist-generated

.github/workflows/release.yml

@@ -0,0 +1,113 @@
+name: release
+on:
+  push:
+    tags:
+      - "v*"
+
+permissions:
+  contents: write
+env:
+  GH_TOKEN: ${{ github.token }}
+
+jobs:
+  create-draft:
+    runs-on: ubuntu-latest
+    steps:
+      - run: echo "VERSION=${GITHUB_REF_NAME#v}" >> $GITHUB_ENV
+      - uses: actions/checkout@v3
+        with:
+          ref: master
+
+      - uses: jossef/action-set-json-field@v2.1
+        with:
+          file: manifest.json
+          field: version
+          value: ${{ env.VERSION }}
+
+      - continue-on-error: true
+        run: |
+          git config --global user.email "github-actions[bot]@users.noreply.github.com"
+          git config --global user.name "github-actions[bot]"
+          git commit -am "release ${{github.ref_name}}"
+          git push
+
+      - run: |
+          gh release create ${{github.ref_name}} -d -F CURRENT_CHANGE.md -t ${{github.ref_name}}
+
+  windows:
+    runs-on: windows-latest
+    needs: create-draft
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          ref: master
+      - uses: actions/setup-go@v4
+        with:
+          go-version: '1.20.5'
+      - uses: actions/setup-python@v4
+        id: cp310
+        with:
+          python-version: '3.10'
+      - uses: crazy-max/ghaction-chocolatey@v2
+        with:
+          args: install upx
+      - run: |
+          Start-BitsTransfer https://www.python.org/ftp/python/3.10.11/python-3.10.11-embed-amd64.zip ./python-3.10.11-embed-amd64.zip
+          Expand-Archive ./python-3.10.11-embed-amd64.zip -DestinationPath ./py310
+          $content=Get-Content "./py310/python310._pth"; $content | ForEach-Object {if ($_.ReadCount -eq 3) {"Lib\\site-packages"} else {$_}} | Set-Content ./py310/python310._pth
+          ./py310/python ./backend-python/get-pip.py
+          ./py310/python -m pip install Cython
+          Copy-Item -Path "${{ steps.cp310.outputs.python-path }}/../include" -Destination "py310/include" -Recurse
+          Copy-Item -Path "${{ steps.cp310.outputs.python-path }}/../libs" -Destination "py310/libs" -Recurse
+          ./py310/python -m pip install cyac
+          go install github.com/wailsapp/wails/v2/cmd/wails@latest
+          make
+          Rename-Item -Path "build/bin/RWKV-Runner.exe" -NewName "RWKV-Runner_windows_x64.exe"
+
+      - run: gh release upload ${{github.ref_name}} build/bin/RWKV-Runner_windows_x64.exe
+
+  linux:
+    runs-on: ubuntu-latest
+    needs: create-draft
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          ref: master
+      - uses: actions/setup-go@v4
+        with:
+          go-version: '1.20.5'
+      - run: |
+          sudo apt-get update
+          sudo apt-get install upx
+          sudo apt-get install build-essential libgtk-3-dev libwebkit2gtk-4.0-dev
+          go install github.com/wailsapp/wails/v2/cmd/wails@latest
+          make
+          mv build/bin/RWKV-Runner build/bin/RWKV-Runner_linux_x64
+
+      - run: gh release upload ${{github.ref_name}} build/bin/RWKV-Runner_linux_x64
+
+  macos:
+    runs-on: macos-13
+    needs: create-draft
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          ref: master
+      - uses: actions/setup-go@v4
+        with:
+          go-version: '1.20.5'
+      - run: |
+          go install github.com/wailsapp/wails/v2/cmd/wails@latest
+          make
+          cp build/darwin/Readme_Install.txt build/bin/Readme_Install.txt
+          cp build/bin/RWKV-Runner.app/Contents/MacOS/RWKV-Runner build/bin/RWKV-Runner_darwin_universal
+          cd build/bin && zip -r RWKV-Runner_macos_universal.zip RWKV-Runner.app Readme_Install.txt
+
+      - run: gh release upload ${{github.ref_name}} build/bin/RWKV-Runner_macos_universal.zip build/bin/RWKV-Runner_darwin_universal
+
+  publish-release:
+    runs-on: ubuntu-latest
+    needs: [ windows, linux, macos ]
+    steps:
+      - uses: actions/checkout@v3
+      - run: gh release edit ${{github.ref_name}} --draft=false

.gitignore

@@ -8,9 +8,16 @@ __pycache__
 *.bin
 /config.json
 /cache.json
+/presets.json
 /frontend/stats.html
 /frontend/package.json.md5
-/backend-python/get-pip.py
 /py310
 *.zip
-/cmd-helper.bat
+/cmd-helper.bat
+/install-py-dep.bat
+/backend-python/wkv_cuda
+*.exe
+*.old
+.DS_Store
+*.log.*
+*.log

.vscode/launch.json

@@ -0,0 +1,33 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    //
+    // Use Ctrl+Shift+P to Select Interpreter
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python",
+            "type": "python",
+            "request": "launch",
+            "program": "${workspaceFolder}/backend-python/main.py",
+            "console": "integratedTerminal",
+            "justMyCode": false
+        },
+        {
+            "name": "Golang",
+            "type": "go",
+            "request": "launch",
+            "mode": "exec",
+            "program": "${workspaceFolder}/build/bin/testwails.exe",
+            "console": "integratedTerminal",
+            "preLaunchTask": "build dev"
+        },
+        {
+            "name": "Frontend",
+            "type": "node-terminal",
+            "request": "launch",
+            "command": "wails dev -browser"
+        }
+    ]
+}

.vscode/settings.json

@@ -2,6 +2,6 @@
     "[python]": {
         "editor.defaultFormatter": "ms-python.black-formatter"
     },
-    "python.formatting.provider": "black",
+    "python.formatting.provider": "none",
     "editor.formatOnSave": true
 }

.vscode/tasks.json

@@ -0,0 +1,40 @@
+{
+  "version": "2.0.0",
+  "tasks": [
+    {
+      "label": "build dev",
+      "type": "shell",
+      "options": {
+        "cwd": "${workspaceFolder}",
+        "env": {
+          "CGO_ENABLED": "1"
+        }
+      },
+      "osx": {
+        "options": {
+          "env": {
+            "CGO_CFLAGS": "-mmacosx-version-min=10.13",
+            "CGO_LDFLAGS": "-framework UniformTypeIdentifiers -mmacosx-version-min=10.13"
+          }
+        }
+      },
+      "windows": {
+        "options": {
+          "env": {
+            "CGO_ENABLED": "0"
+          }
+        }
+      },
+      "command": "go",
+      "args": [
+        "build",
+        "-tags",
+        "dev",
+        "-gcflags",
+        "all=-N -l",
+        "-o",
+        "build/bin/testwails.exe"
+      ]
+    }
+  ]
+}

CURRENT_CHANGE.md

@@ -0,0 +1,15 @@
+## Changes
+
+- upgrade to rwkv 0.8.0
+- change i18n
+- Completion Regenerate Button
+- change chat saving format
+- update manifest
+- chore
+
+## Install
+
+- Windows: https://github.com/josStorer/RWKV-Runner/blob/master/build/windows/Readme_Install.txt
+- MacOS: https://github.com/josStorer/RWKV-Runner/blob/master/build/darwin/Readme_Install.txt
+- Linux: https://github.com/josStorer/RWKV-Runner/blob/master/build/linux/Readme_Install.txt
+- Server-Deploy-Examples: https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples

Makefile

@@ -1,15 +1,22 @@
 ifeq ($(OS), Windows_NT)
 build: build-windows
-else
+else ifeq ($(shell uname -s), Darwin)
 build: build-macos
+else
+build: build-linux
 endif
 
 build-windows:
 	@echo ---- build for windows
-	wails build -upx -ldflags "-s -w"
+	wails build -upx -ldflags "-s -w" -platform windows/amd64
 
 build-macos:
 	@echo ---- build for macos
+	wails build -ldflags "-s -w" -platform darwin/universal
+
+build-linux:
+	@echo ---- build for linux
+	wails build -upx -ldflags "-s -w" -platform linux/amd64
 
 dev:
 	wails dev

README.md

@@ -15,7 +15,13 @@ compatible with the OpenAI API, which means that every ChatGPT client is an RWKV
 
 English | [简体中文](README_ZH.md)
 
-[Preview](#Preview) | [Download][download-url]
+### Install
+
+[![Windows][Windows-image]][Windows-url]
+[![MacOS][MacOS-image]][MacOS-url]
+[![Linux][Linux-image]][Linux-url]
+
+[FAQs](https://github.com/josStorer/RWKV-Runner/wiki/FAQs) | [Preview](#Preview) | [Download][download-url] | [Server-Deploy-Examples](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples)
 
 [license-image]: http://img.shields.io/badge/license-MIT-blue.svg
 
@@ -25,17 +31,36 @@ English | [简体中文](README_ZH.md)
 
 [release-url]: https://github.com/josStorer/RWKV-Runner/releases/latest
 
-[download-url]: https://github.com/josStorer/RWKV-Runner/releases/download/v1.0.0/RWKV-Runner_windows_x64.exe
+[download-url]: https://github.com/josStorer/RWKV-Runner/releases
+
+[Windows-image]: https://img.shields.io/badge/-Windows-blue?logo=windows
+
+[Windows-url]: https://github.com/josStorer/RWKV-Runner/blob/master/build/windows/Readme_Install.txt
+
+[MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
+
+[MacOS-url]: https://github.com/josStorer/RWKV-Runner/blob/master/build/darwin/Readme_Install.txt
+
+[Linux-image]: https://img.shields.io/badge/-Linux-black?logo=linux
+
+[Linux-url]: https://github.com/josStorer/RWKV-Runner/blob/master/build/linux/Readme_Install.txt
 
 </div>
 
+#### Default configs has enabled custom CUDA kernel acceleration, which is much faster and consumes much less VRAM. If you encounter possible compatibility issues, go to the Configs page and turn off `Use Custom CUDA kernel to Accelerate`.
+
+#### If Windows Defender claims this is a virus, you can try downloading [v1.0.8](https://github.com/josStorer/RWKV-Runner/releases/tag/v1.0.8)/[v1.0.9](https://github.com/josStorer/RWKV-Runner/releases/tag/v1.0.9) and letting it update automatically to the latest version, or add it to the trusted list.
+
+#### For different tasks, adjusting API parameters can achieve better results. For example, for translation tasks, you can try setting Temperature to 1 and Top_P to 0.3.
+
 ## Features
 
 - RWKV model management and one-click startup
 - Fully compatible with the OpenAI API, making every ChatGPT client an RWKV client. After starting the model,
   open http://127.0.0.1:8000/docs to view more details.
 - Automatic dependency installation, requiring only a lightweight executable program
-- User-friendly chat interaction interface included
+- Configs with 2G to 32G VRAM are included, works well on almost all computers
+- User-friendly chat and completion interaction interface included
 - Easy-to-understand and operate parameter configuration
 - Built-in model conversion tool
 - Built-in download management and remote model inspection
@@ -43,12 +68,71 @@ English | [简体中文](README_ZH.md)
 - Theme switching
 - Automatic updates
 
+## API Concurrency Stress Testing
+
+```bash
+ab -p body.json -T application/json -c 20 -n 100 -l http://127.0.0.1:8000/chat/completions
+```
+
+body.json:
+
+```json
+{
+  "messages": [
+    {
+      "role": "user",
+      "content": "Hello"
+    }
+  ]
+}
+```
+
+## Embeddings API Example
+
+If you are using langchain, just use `OpenAIEmbeddings(openai_api_base="http://127.0.0.1:8000", openai_api_key="sk-")`
+
+```python
+import numpy as np
+import requests
+
+
+def cosine_similarity(a, b):
+    return np.dot(a, b) / (np.linalg.norm(a) * np.linalg.norm(b))
+
+
+values = [
+    "I am a girl",
+    "我是个女孩",
+    "私は女の子です",
+    "广东人爱吃福建人",
+    "我是个人类",
+    "I am a human",
+    "that dog is so cute",
+    "私はねこむすめです、にゃん♪",
+    "宇宙级特大事件！号外号外！"
+]
+
+embeddings = []
+for v in values:
+    r = requests.post("http://127.0.0.1:8000/embeddings", json={"input": v})
+    embedding = r.json()["data"][0]["embedding"]
+    embeddings.append(embedding)
+
+compared_embedding = embeddings[0]
+
+embeddings_cos_sim = [cosine_similarity(compared_embedding, e) for e in embeddings]
+
+for i in np.argsort(embeddings_cos_sim)[::-1]:
+    print(f"{embeddings_cos_sim[i]:.10f} - {values[i]}")
+```
+
 ## Todo
 
-- Model training functionality
-- CUDA operator int8 acceleration
-- macOS support
-- Linux support
+- [ ] Model training functionality
+- [x] CUDA operator int8 acceleration
+- [x] macOS support
+- [x] Linux support
+- [ ] Local State Cache DB
 
 ## Related Repositories:
 
@@ -66,6 +150,10 @@ English | [简体中文](README_ZH.md)
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/6cde9c45-51bb-4dee-b1fe-746862448520)
 
+### Completion
+
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/52f47f92-d21d-4cd7-b04e-d6f9af937a97)
+
 ### Configuration
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/93270a68-9d6d-4247-b6a3-e543c65a876b)

README_ZH.md

@@ -14,7 +14,13 @@ API兼容的接口，这意味着一切ChatGPT客户端都是RWKV客户端。
 
 [English](README.md) | 简体中文
 
-[预览](#Preview) | [下载][download-url]
+### 安装
+
+[![Windows][Windows-image]][Windows-url]
+[![MacOS][MacOS-image]][MacOS-url]
+[![Linux][Linux-image]][Linux-url]
+
+[视频演示](https://www.bilibili.com/video/BV1hM4y1v76R) | [疑难解答](https://www.bilibili.com/read/cv23921171) | [预览](#Preview) | [下载][download-url] | [懒人包](https://pan.baidu.com/s/1wchIUHgne3gncIiLIeKBEQ?pwd=1111) | [服务器部署示例](https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples)
 
 [license-image]: http://img.shields.io/badge/license-MIT-blue.svg
 
@@ -24,16 +30,37 @@ API兼容的接口，这意味着一切ChatGPT客户端都是RWKV客户端。
 
 [release-url]: https://github.com/josStorer/RWKV-Runner/releases/latest
 
-[download-url]: https://github.com/josStorer/RWKV-Runner/releases/download/v1.0.0/RWKV-Runner_windows_x64.exe
+[download-url]: https://github.com/josStorer/RWKV-Runner/releases
+
+[Windows-image]: https://img.shields.io/badge/-Windows-blue?logo=windows
+
+[Windows-url]: https://github.com/josStorer/RWKV-Runner/blob/master/build/windows/Readme_Install.txt
+
+[MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
+
+[MacOS-url]: https://github.com/josStorer/RWKV-Runner/blob/master/build/darwin/Readme_Install.txt
+
+[Linux-image]: https://img.shields.io/badge/-Linux-black?logo=linux
+
+[Linux-url]: https://github.com/josStorer/RWKV-Runner/blob/master/build/linux/Readme_Install.txt
 
 </div>
 
+#### 注意 目前RWKV中文模型质量一般，推荐使用英文模型或World(全球语言)体验实际RWKV能力
+
+#### 预设配置已经开启自定义CUDA算子加速，速度更快，且显存消耗更少。如果你遇到可能的兼容性问题，前往配置页面，关闭`使用自定义CUDA算子加速`
+
+#### 如果Windows Defender说这是一个病毒，你可以尝试下载[v1.0.8](https://github.com/josStorer/RWKV-Runner/releases/tag/v1.0.8)/[v1.0.9](https://github.com/josStorer/RWKV-Runner/releases/tag/v1.0.9)然后让其自动更新到最新版，或添加信任
+
+#### 对于不同的任务，调整API参数会获得更好的效果，例如对于翻译任务，你可以尝试设置Temperature为1，Top_P为0.3
+
 ## 功能
 
 - RWKV模型管理，一键启动
 - 与OpenAI API完全兼容，一切ChatGPT客户端，都是RWKV客户端。启动模型后，打开 http://127.0.0.1:8000/docs 查看详细内容
 - 全自动依赖安装，你只需要一个轻巧的可执行程序
-- 自带用户友好的聊天交互页面
+- 预设了2G至32G显存的配置，几乎在各种电脑上工作良好
+- 自带用户友好的聊天和补全交互页面
 - 易于理解和操作的参数配置
 - 内置模型转换工具
 - 内置下载管理和远程模型检视
@@ -41,12 +68,71 @@ API兼容的接口，这意味着一切ChatGPT客户端都是RWKV客户端。
 - 主题切换
 - 自动更新
 
+## API并发压力测试
+
+```bash
+ab -p body.json -T application/json -c 20 -n 100 -l http://127.0.0.1:8000/chat/completions
+```
+
+body.json:
+
+```json
+{
+  "messages": [
+    {
+      "role": "user",
+      "content": "Hello"
+    }
+  ]
+}
+```
+
+## Embeddings API 示例
+
+如果你在用langchain, 直接使用 `OpenAIEmbeddings(openai_api_base="http://127.0.0.1:8000", openai_api_key="sk-")`
+
+```python
+import numpy as np
+import requests
+
+
+def cosine_similarity(a, b):
+    return np.dot(a, b) / (np.linalg.norm(a) * np.linalg.norm(b))
+
+
+values = [
+    "I am a girl",
+    "我是个女孩",
+    "私は女の子です",
+    "广东人爱吃福建人",
+    "我是个人类",
+    "I am a human",
+    "that dog is so cute",
+    "私はねこむすめです、にゃん♪",
+    "宇宙级特大事件！号外号外！"
+]
+
+embeddings = []
+for v in values:
+    r = requests.post("http://127.0.0.1:8000/embeddings", json={"input": v})
+    embedding = r.json()["data"][0]["embedding"]
+    embeddings.append(embedding)
+
+compared_embedding = embeddings[0]
+
+embeddings_cos_sim = [cosine_similarity(compared_embedding, e) for e in embeddings]
+
+for i in np.argsort(embeddings_cos_sim)[::-1]:
+    print(f"{embeddings_cos_sim[i]:.10f} - {values[i]}")
+```
+
 ## Todo
 
-- 模型训练功能
-- CUDA算子int8提速
-- macOS支持
-- linux支持
+- [ ] 模型训练功能
+- [x] CUDA算子int8提速
+- [x] macOS支持
+- [x] linux支持
+- [ ] 本地状态缓存数据库
 
 ## 相关仓库:
 
@@ -64,6 +150,10 @@ API兼容的接口，这意味着一切ChatGPT客户端都是RWKV客户端。
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/0e66d5fa-f34a-409f-9cd4-d880815733f3)
 
+### 补全
+
+![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/d4178ee9-a188-4878-9777-25c916872c29)
+
 ### 配置
 
 ![image](https://github.com/josStorer/RWKV-Runner/assets/13366013/ad9921fc-7248-40a3-9e18-03445b86e4bf)

backend-golang/app.go

@@ -2,9 +2,11 @@ package backend_golang
 
 import (
 	"context"
+	"errors"
 	"net/http"
 	"os"
 	"os/exec"
+	"path/filepath"
 	"runtime"
 
 	"github.com/minio/selfupdate"
@@ -13,7 +15,11 @@ import (
 
 // App struct
 type App struct {
-	ctx context.Context
+	ctx           context.Context
+	HasConfigData bool
+	ConfigData    map[string]any
+	exDir         string
+	cmdPrefix     string
 }
 
 // NewApp creates a new App application struct
@@ -25,6 +31,14 @@ func NewApp() *App {
 // so we can call the runtime methods
 func (a *App) OnStartup(ctx context.Context) {
 	a.ctx = ctx
+	a.exDir = ""
+	a.cmdPrefix = ""
+
+	if runtime.GOOS == "darwin" {
+		ex, _ := os.Executable()
+		a.exDir = filepath.Dir(ex) + "/../../../"
+		a.cmdPrefix = "cd " + a.exDir + " && "
+	}
 
 	a.downloadLoop()
 }
@@ -42,15 +56,30 @@ func (a *App) UpdateApp(url string) (broken bool, err error) {
 		}
 		return false, err
 	}
-	name, err := os.Executable()
-	if err != nil {
-		return false, err
+	if runtime.GOOS == "windows" {
+		name, err := os.Executable()
+		if err != nil {
+			return false, err
+		}
+		exec.Command(name, os.Args[1:]...).Start()
+		wruntime.Quit(a.ctx)
 	}
-	exec.Command(name, os.Args[1:]...).Start()
-	wruntime.Quit(a.ctx)
 	return false, nil
 }
 
+func (a *App) RestartApp() error {
+	if runtime.GOOS == "windows" {
+		name, err := os.Executable()
+		if err != nil {
+			return err
+		}
+		exec.Command(name, os.Args[1:]...).Start()
+		wruntime.Quit(a.ctx)
+		return nil
+	}
+	return errors.New("unsupported OS")
+}
+
 func (a *App) GetPlatform() string {
 	return runtime.GOOS
 }

backend-golang/download.go

@@ -1,6 +1,7 @@
 package backend_golang
 
 import (
+	"context"
 	"path/filepath"
 	"time"
 
@@ -9,7 +10,7 @@ import (
 )
 
 func (a *App) DownloadFile(path string, url string) error {
-	_, err := grab.Get(path, url)
+	_, err := grab.Get(a.exDir+path, url)
 	if err != nil {
 		return err
 	}
@@ -18,6 +19,7 @@ func (a *App) DownloadFile(path string, url string) error {
 
 type DownloadStatus struct {
 	resp        *grab.Response
+	cancel      context.CancelFunc
 	Name        string  `json:"name"`
 	Path        string  `json:"path"`
 	Url         string  `json:"url"`
@@ -29,7 +31,7 @@ type DownloadStatus struct {
 	Done        bool    `json:"done"`
 }
 
-var downloadList []DownloadStatus
+var downloadList []*DownloadStatus
 
 func existsInDownloadList(url string) bool {
 	for _, ds := range downloadList {
@@ -41,49 +43,58 @@ func existsInDownloadList(url string) bool {
 }
 
 func (a *App) PauseDownload(url string) {
-	for i, ds := range downloadList {
+	for _, ds := range downloadList {
 		if ds.Url == url {
-			if ds.resp != nil {
-				ds.resp.Cancel()
-			}
-
-			downloadList[i] = DownloadStatus{
-				resp:        ds.resp,
-				Name:        ds.Name,
-				Path:        ds.Path,
-				Url:         ds.Url,
-				Downloading: false,
+			if ds.cancel != nil {
+				ds.cancel()
 			}
+			ds.resp = nil
+			ds.Downloading = false
+			ds.Speed = 0
+			break
 		}
 	}
 }
 
 func (a *App) ContinueDownload(url string) {
-	for i, ds := range downloadList {
+	for _, ds := range downloadList {
 		if ds.Url == url {
-			client := grab.NewClient()
-			req, _ := grab.NewRequest(ds.Path, ds.Url)
-			resp := client.Do(req)
+			if !ds.Downloading && ds.resp == nil && !ds.Done {
+				ds.Downloading = true
 
-			downloadList[i] = DownloadStatus{
-				resp:        resp,
-				Name:        ds.Name,
-				Path:        ds.Path,
-				Url:         ds.Url,
-				Downloading: true,
+				req, err := grab.NewRequest(ds.Path, ds.Url)
+				if err != nil {
+					ds.Downloading = false
+					break
+				}
+				// if PauseDownload() is called before the request finished, ds.Downloading will be false
+				// if the user keeps clicking pause and resume, it may result in multiple requests being successfully downloaded at the same time
+				// so we have to create a context and cancel it when PauseDownload() is called
+				ctx, cancel := context.WithCancel(context.Background())
+				ds.cancel = cancel
+				req = req.WithContext(ctx)
+				resp := grab.DefaultClient.Do(req)
+
+				if resp != nil && resp.HTTPResponse != nil &&
+					resp.HTTPResponse.StatusCode >= 200 && resp.HTTPResponse.StatusCode < 300 {
+					ds.resp = resp
+				} else {
+					ds.Downloading = false
+				}
 			}
+			break
 		}
 	}
 }
 
 func (a *App) AddToDownloadList(path string, url string) {
 	if !existsInDownloadList(url) {
-		downloadList = append(downloadList, DownloadStatus{
+		downloadList = append(downloadList, &DownloadStatus{
 			resp:        nil,
 			Name:        filepath.Base(path),
-			Path:        path,
+			Path:        a.exDir + path,
 			Url:         url,
-			Downloading: true,
+			Downloading: false,
 		})
 		a.ContinueDownload(url)
 	} else {
@@ -96,32 +107,17 @@ func (a *App) downloadLoop() {
 	go func() {
 		for {
 			<-ticker.C
-			for i, ds := range downloadList {
-				transferred := int64(0)
-				size := int64(0)
-				speed := float64(0)
-				progress := float64(0)
-				downloading := ds.Downloading
-				done := false
+			for _, ds := range downloadList {
 				if ds.resp != nil {
-					transferred = ds.resp.BytesComplete()
-					size = ds.resp.Size()
-					speed = ds.resp.BytesPerSecond()
-					progress = 100 * ds.resp.Progress()
-					downloading = !ds.resp.IsComplete()
-					done = ds.resp.Progress() == 1
-				}
-				downloadList[i] = DownloadStatus{
-					resp:        ds.resp,
-					Name:        ds.Name,
-					Path:        ds.Path,
-					Url:         ds.Url,
-					Transferred: transferred,
-					Size:        size,
-					Speed:       speed,
-					Progress:    progress,
-					Downloading: downloading,
-					Done:        done,
+					ds.Transferred = ds.resp.BytesComplete()
+					ds.Size = ds.resp.Size()
+					ds.Speed = ds.resp.BytesPerSecond()
+					ds.Progress = 100 * ds.resp.Progress()
+					ds.Downloading = !ds.resp.IsComplete()
+					ds.Done = ds.resp.Progress() == 1
+					if !ds.Downloading {
+						ds.resp = nil
+					}
 				}
 			}
 			runtime.EventsEmit(a.ctx, "downloadList", downloadList)

backend-golang/file.go

@@ -2,12 +2,16 @@ package backend_golang
 
 import (
 	"encoding/json"
-	"fmt"
+	"errors"
+	"io"
 	"os"
 	"os/exec"
 	"path/filepath"
 	"runtime"
+	"strings"
 	"time"
+
+	wruntime "github.com/wailsapp/wails/v2/pkg/runtime"
 )
 
 func (a *App) SaveJson(fileName string, jsonData any) error {
@@ -16,14 +20,14 @@ func (a *App) SaveJson(fileName string, jsonData any) error {
 		return err
 	}
 
-	if err := os.WriteFile(fileName, text, 0644); err != nil {
+	if err := os.WriteFile(a.exDir+fileName, text, 0644); err != nil {
 		return err
 	}
 	return nil
 }
 
 func (a *App) ReadJson(fileName string) (any, error) {
-	file, err := os.ReadFile(fileName)
+	file, err := os.ReadFile(a.exDir + fileName)
 	if err != nil {
 		return nil, err
 	}
@@ -38,7 +42,7 @@ func (a *App) ReadJson(fileName string) (any, error) {
 }
 
 func (a *App) FileExists(fileName string) bool {
-	_, err := os.Stat(fileName)
+	_, err := os.Stat(a.exDir + fileName)
 	return err == nil
 }
 
@@ -50,7 +54,7 @@ type FileInfo struct {
 }
 
 func (a *App) ReadFileInfo(fileName string) (FileInfo, error) {
-	info, err := os.Stat(fileName)
+	info, err := os.Stat(a.exDir + fileName)
 	if err != nil {
 		return FileInfo{}, err
 	}
@@ -63,7 +67,7 @@ func (a *App) ReadFileInfo(fileName string) (FileInfo, error) {
 }
 
 func (a *App) ListDirFiles(dirPath string) ([]FileInfo, error) {
-	files, err := os.ReadDir(dirPath)
+	files, err := os.ReadDir(a.exDir + dirPath)
 	if err != nil {
 		return nil, err
 	}
@@ -85,15 +89,66 @@ func (a *App) ListDirFiles(dirPath string) ([]FileInfo, error) {
 }
 
 func (a *App) DeleteFile(path string) error {
-	err := os.Remove(path)
+	err := os.Remove(a.exDir + path)
 	if err != nil {
 		return err
 	}
 	return nil
 }
 
-func (a *App) OpenFileFolder(path string) error {
-	absPath, err := filepath.Abs(path)
+func (a *App) CopyFile(src string, dst string) error {
+	sourceFile, err := os.Open(a.exDir + src)
+	if err != nil {
+		return err
+	}
+	defer sourceFile.Close()
+
+	err = os.MkdirAll(a.exDir+dst[:strings.LastIndex(dst, "/")], 0755)
+	if err != nil {
+		return err
+	}
+
+	destFile, err := os.Create(a.exDir + dst)
+	if err != nil {
+		return err
+	}
+	defer destFile.Close()
+
+	_, err = io.Copy(destFile, sourceFile)
+	if err != nil {
+		return err
+	}
+	return nil
+}
+
+func (a *App) OpenSaveFileDialog(filterPattern string, defaultFileName string, savedContent string) (string, error) {
+	path, err := wruntime.SaveFileDialog(a.ctx, wruntime.SaveDialogOptions{
+		DefaultFilename: defaultFileName,
+		Filters: []wruntime.FileFilter{{
+			Pattern: filterPattern,
+		}},
+		CanCreateDirectories: true,
+	})
+	if err != nil {
+		return "", err
+	}
+	if path == "" {
+		return "", nil
+	}
+	if err := os.WriteFile(path, []byte(savedContent), 0644); err != nil {
+		return "", err
+	}
+	return path, nil
+}
+
+func (a *App) OpenFileFolder(path string, relative bool) error {
+	var absPath string
+	var err error
+	if relative {
+		absPath, err = filepath.Abs(a.exDir + path)
+	} else {
+		absPath, err = filepath.Abs(path)
+	}
 	if err != nil {
 		return err
 	}
@@ -104,10 +159,21 @@ func (a *App) OpenFileFolder(path string) error {
 		if err != nil {
 			return err
 		}
+		return nil
 	case "darwin":
-		fmt.Println("Running on macOS")
+		cmd := exec.Command("open", "-R", absPath)
+		err := cmd.Run()
+		if err != nil {
+			return err
+		}
+		return nil
 	case "linux":
-		fmt.Println("Running on Linux")
+		cmd := exec.Command("xdg-open", absPath)
+		err := cmd.Run()
+		if err != nil {
+			return err
+		}
+		return nil
 	}
-	return nil
+	return errors.New("unsupported OS")
 }

backend-golang/rwkv.go

@@ -2,59 +2,82 @@ package backend_golang
 
 import (
 	"errors"
+	"os"
 	"os/exec"
+	"runtime"
 	"strconv"
+	"strings"
 )
 
-func (a *App) StartServer(port int) (string, error) {
-	python, err := GetPython()
+func (a *App) StartServer(python string, port int, host string) (string, error) {
+	var err error
+	if python == "" {
+		python, err = GetPython()
+	}
 	if err != nil {
 		return "", err
 	}
-	return Cmd(python, "./backend-python/main.py", strconv.Itoa(port))
+	return Cmd(python, "./backend-python/main.py", strconv.Itoa(port), host)
 }
 
-func (a *App) ConvertModel(modelPath string, strategy string, outPath string) (string, error) {
-	python, err := GetPython()
+func (a *App) ConvertModel(python string, modelPath string, strategy string, outPath string) (string, error) {
+	var err error
+	if python == "" {
+		python, err = GetPython()
+	}
 	if err != nil {
 		return "", err
 	}
 	return Cmd(python, "./backend-python/convert_model.py", "--in", modelPath, "--out", outPath, "--strategy", strategy)
 }
 
-func (a *App) DepCheck() error {
-	python, err := GetPython()
+func (a *App) DepCheck(python string) error {
+	var err error
+	if python == "" {
+		python, err = GetPython()
+	}
 	if err != nil {
 		return err
 	}
-	out, err := exec.Command(python, "./backend-python/dep_check.py").CombinedOutput()
+	out, err := exec.Command(python, a.exDir+"./backend-python/dep_check.py").CombinedOutput()
 	if err != nil {
 		return errors.New("DepCheck Error: " + string(out))
 	}
 	return nil
 }
 
-func (a *App) InstallPyDep(cnMirror bool) (string, error) {
-	python, err := GetPython()
+func (a *App) InstallPyDep(python string, cnMirror bool) (string, error) {
+	var err error
+	if python == "" {
+		python, err = GetPython()
+		if runtime.GOOS == "windows" {
+			python = `"%CD%/` + python + `"`
+		}
+	}
 	if err != nil {
 		return "", err
 	}
+
+	if runtime.GOOS == "windows" {
+		ChangeFileLine("./py310/python310._pth", 3, "Lib\\site-packages")
+		installScript := python + " ./backend-python/get-pip.py -i https://pypi.tuna.tsinghua.edu.cn/simple\n" +
+			python + " -m pip install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 --index-url https://download.pytorch.org/whl/cu117\n" +
+			python + " -m pip install -r ./backend-python/requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple\n" +
+			"exit"
+		if !cnMirror {
+			installScript = strings.Replace(installScript, " -i https://pypi.tuna.tsinghua.edu.cn/simple", "", -1)
+			installScript = strings.Replace(installScript, "requirements.txt", "requirements_versions.txt", -1)
+		}
+		err = os.WriteFile("./install-py-dep.bat", []byte(installScript), 0644)
+		if err != nil {
+			return "", err
+		}
+		return Cmd("install-py-dep.bat")
+	}
+
 	if cnMirror {
-		_, err = Cmd(python, "./backend-python/get-pip.py", "-i", "https://pypi.tuna.tsinghua.edu.cn/simple")
+		return Cmd(python, "-m", "pip", "install", "-r", "./backend-python/requirements_without_cyac.txt", "-i", "https://pypi.tuna.tsinghua.edu.cn/simple")
 	} else {
-		_, err = Cmd(python, "./backend-python/get-pip.py")
-	}
-	if err != nil {
-		return "", err
-	}
-	ChangeFileLine("./py310/python310._pth", 3, "Lib\\site-packages")
-	_, err = Cmd(python, "-m", "pip", "install", "torch", "torchvision", "torchaudio", "--index-url", "https://download.pytorch.org/whl/cu117")
-	if err != nil {
-		return "", err
-	}
-	if cnMirror {
-		return Cmd(python, "-m", "pip", "install", "-r", "./backend-python/requirements.txt", "-i", "https://pypi.tuna.tsinghua.edu.cn/simple")
-	} else {
-		return Cmd(python, "-m", "pip", "install", "-r", "./backend-python/requirements_versions.txt")
+		return Cmd(python, "-m", "pip", "install", "-r", "./backend-python/requirements_without_cyac.txt")
 	}
 }

backend-golang/utils.go

@@ -3,8 +3,10 @@ package backend_golang
 import (
 	"archive/zip"
 	"bufio"
+	"embed"
 	"errors"
 	"io"
+	"io/fs"
 	"os"
 	"os/exec"
 	"path/filepath"
@@ -13,22 +15,91 @@ import (
 )
 
 func Cmd(args ...string) (string, error) {
-	_, err := os.Stat("cmd-helper.bat")
-	if err != nil {
+	switch platform := runtime.GOOS; platform {
+	case "windows":
 		if err := os.WriteFile("./cmd-helper.bat", []byte("start %*"), 0644); err != nil {
 			return "", err
 		}
+		cmdHelper, err := filepath.Abs("./cmd-helper")
+		if err != nil {
+			return "", err
+		}
+
+		if strings.Contains(cmdHelper, " ") {
+			for _, arg := range args {
+				if strings.Contains(arg, " ") {
+					return "", errors.New("path contains space") // golang bug https://github.com/golang/go/issues/17149#issuecomment-473976818
+				}
+			}
+		}
+
+		cmd := exec.Command(cmdHelper, args...)
+		out, err := cmd.CombinedOutput()
+		if err != nil {
+			return "", err
+		}
+		return string(out), nil
+	case "darwin":
+		ex, err := os.Executable()
+		if err != nil {
+			return "", err
+		}
+		exDir := filepath.Dir(ex) + "/../../../"
+		cmd := exec.Command("osascript", "-e", `tell application "Terminal" to do script "`+"cd "+exDir+" && "+strings.Join(args, " ")+`"`)
+		err = cmd.Start()
+		if err != nil {
+			return "", err
+		}
+		cmd.Wait()
+		return "", nil
+	case "linux":
+		cmd := exec.Command(args[0], args[1:]...)
+		err := cmd.Start()
+		if err != nil {
+			return "", err
+		}
+		cmd.Wait()
+		return "", nil
 	}
-	cmdHelper, err := filepath.Abs("./cmd-helper")
-	if err != nil {
-		return "", err
+	return "", errors.New("unsupported OS")
+}
+
+func CopyEmbed(efs embed.FS) error {
+	prefix := ""
+	if runtime.GOOS == "darwin" {
+		ex, err := os.Executable()
+		if err != nil {
+			return err
+		}
+		prefix = filepath.Dir(ex) + "/../../../"
 	}
-	cmd := exec.Command(cmdHelper, args...)
-	out, err := cmd.CombinedOutput()
-	if err != nil {
-		return "", err
-	}
-	return string(out), nil
+
+	err := fs.WalkDir(efs, ".", func(path string, d fs.DirEntry, err error) error {
+		if d.IsDir() {
+			return nil
+		}
+		if err != nil {
+			return err
+		}
+		content, err := efs.ReadFile(path)
+		if err != nil {
+			return err
+		}
+
+		path = prefix + path
+		err = os.MkdirAll(path[:strings.LastIndex(path, "/")], 0755)
+		if err != nil {
+			return err
+		}
+
+		err = os.WriteFile(path, content, 0644)
+		if err != nil {
+			return err
+		}
+
+		return nil
+	})
+	return err
 }
 
 func GetPython() (string, error) {

backend-python/dep_check.py

@@ -1,6 +1,8 @@
+import tiktoken
+import GPUtil
+
 import torch
 import rwkv
-import langchain
 import fastapi
 import uvicorn
 import sse_starlette

backend-python/main.py

@@ -4,18 +4,18 @@ import sys
 sys.path.append(os.path.dirname(os.path.realpath(__file__)))
 
 import psutil
-from fastapi import FastAPI
+from fastapi import Depends, FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 import uvicorn
 
 from utils.rwkv import *
 from utils.torch import *
 from utils.ngrok import *
-from routes import completion, config
+from utils.log import log_middleware
+from routes import completion, config, state_cache
 import global_var
 
-
-app = FastAPI()
+app = FastAPI(dependencies=[Depends(log_middleware)])
 
 app.add_middleware(
     CORSMiddleware,
@@ -27,11 +27,13 @@ app.add_middleware(
 
 app.include_router(completion.router)
 app.include_router(config.router)
+app.include_router(state_cache.router)
 
 
 @app.on_event("startup")
 def init():
     global_var.init()
+    state_cache.init()
 
     set_torch()
 
@@ -41,7 +43,7 @@ def init():
 
 @app.get("/")
 def read_root():
-    return {"Hello": "World!", "pid": os.getpid()}
+    return {"Hello": "World!"}
 
 
 @app.post("/exit")
@@ -59,10 +61,14 @@ def debug():
         strategy="cuda fp16",
         tokens_path="20B_tokenizer.json",
     )
-    d = model.tokenizer.decode([])
+    d = model.pipeline.decode([])
     print(d)
 
 
 if __name__ == "__main__":
-    uvicorn.run("main:app", port=8000 if len(sys.argv) == 1 else int(sys.argv[1]))
+    uvicorn.run(
+        "main:app",
+        port=8000 if len(sys.argv) < 2 else int(sys.argv[1]),
+        host="127.0.0.1" if len(sys.argv) < 3 else sys.argv[2],
+    )
     # debug()

backend-python/routes/completion.py

@@ -2,11 +2,15 @@ import asyncio
 import json
 from threading import Lock
 from typing import List
+import base64
 
 from fastapi import APIRouter, Request, status, HTTPException
 from sse_starlette.sse import EventSourceResponse
 from pydantic import BaseModel
+import numpy as np
+import tiktoken
 from utils.rwkv import *
+from utils.log import quick_log
 import global_var
 
 router = APIRouter()
@@ -23,9 +27,186 @@ class ChatCompletionBody(ModelConfigBody):
     stream: bool = False
     stop: str = None
 
+    class Config:
+        schema_extra = {
+            "example": {
+                "messages": [{"role": "user", "content": "hello"}],
+                "model": "rwkv",
+                "stream": False,
+                "stop": None,
+                "max_tokens": 1000,
+                "temperature": 1.2,
+                "top_p": 0.5,
+                "presence_penalty": 0.4,
+                "frequency_penalty": 0.4,
+            }
+        }
+
+
+class CompletionBody(ModelConfigBody):
+    prompt: str
+    model: str = "rwkv"
+    stream: bool = False
+    stop: str = None
+
+    class Config:
+        schema_extra = {
+            "example": {
+                "prompt": "The following is an epic science fiction masterpiece that is immortalized, "
+                + "with delicate descriptions and grand depictions of interstellar civilization wars.\nChapter 1.\n",
+                "model": "rwkv",
+                "stream": False,
+                "stop": None,
+                "max_tokens": 100,
+                "temperature": 1.2,
+                "top_p": 0.5,
+                "presence_penalty": 0.4,
+                "frequency_penalty": 0.4,
+            }
+        }
+
 
 completion_lock = Lock()
 
+requests_num = 0
+
+
+async def eval_rwkv(
+    model: RWKV,
+    request: Request,
+    body: ModelConfigBody,
+    prompt: str,
+    stream: bool,
+    stop: str,
+    chat_mode: bool,
+):
+    global requests_num
+    requests_num = requests_num + 1
+    quick_log(request, None, "Start Waiting. RequestsNum: " + str(requests_num))
+    while completion_lock.locked():
+        if await request.is_disconnected():
+            requests_num = requests_num - 1
+            print(f"{request.client} Stop Waiting (Lock)")
+            quick_log(
+                request,
+                None,
+                "Stop Waiting (Lock). RequestsNum: " + str(requests_num),
+            )
+            return
+        await asyncio.sleep(0.1)
+    else:
+        completion_lock.acquire()
+        if await request.is_disconnected():
+            completion_lock.release()
+            requests_num = requests_num - 1
+            print(f"{request.client} Stop Waiting (Lock)")
+            quick_log(
+                request,
+                None,
+                "Stop Waiting (Lock). RequestsNum: " + str(requests_num),
+            )
+            return
+        set_rwkv_config(model, global_var.get(global_var.Model_Config))
+        set_rwkv_config(model, body)
+
+        response, prompt_tokens, completion_tokens = "", 0, 0
+        for response, delta, prompt_tokens, completion_tokens in model.generate(
+            prompt,
+            stop=stop,
+        ):
+            if await request.is_disconnected():
+                break
+            if stream:
+                yield json.dumps(
+                    {
+                        "object": "chat.completion.chunk"
+                        if chat_mode
+                        else "text_completion",
+                        "response": response,
+                        "model": model.name,
+                        "choices": [
+                            {
+                                "delta": {"content": delta},
+                                "index": 0,
+                                "finish_reason": None,
+                            }
+                            if chat_mode
+                            else {
+                                "text": delta,
+                                "index": 0,
+                                "finish_reason": None,
+                            }
+                        ],
+                    }
+                )
+        # torch_gc()
+        requests_num = requests_num - 1
+        completion_lock.release()
+        if await request.is_disconnected():
+            print(f"{request.client} Stop Waiting")
+            quick_log(
+                request,
+                body,
+                response + "\nStop Waiting. RequestsNum: " + str(requests_num),
+            )
+            return
+        quick_log(
+            request,
+            body,
+            response + "\nFinished. RequestsNum: " + str(requests_num),
+        )
+        if stream:
+            yield json.dumps(
+                {
+                    "object": "chat.completion.chunk"
+                    if chat_mode
+                    else "text_completion",
+                    "response": response,
+                    "model": model.name,
+                    "choices": [
+                        {
+                            "delta": {},
+                            "index": 0,
+                            "finish_reason": "stop",
+                        }
+                        if chat_mode
+                        else {
+                            "text": "",
+                            "index": 0,
+                            "finish_reason": "stop",
+                        }
+                    ],
+                }
+            )
+            yield "[DONE]"
+        else:
+            yield {
+                "object": "chat.completion" if chat_mode else "text_completion",
+                "response": response,
+                "model": model.name,
+                "usage": {
+                    "prompt_tokens": prompt_tokens,
+                    "completion_tokens": completion_tokens,
+                    "total_tokens": prompt_tokens + completion_tokens,
+                },
+                "choices": [
+                    {
+                        "message": {
+                            "role": "assistant",
+                            "content": response,
+                        },
+                        "index": 0,
+                        "finish_reason": "stop",
+                    }
+                    if chat_mode
+                    else {
+                        "text": response,
+                        "index": 0,
+                        "finish_reason": "stop",
+                    }
+                ],
+            }
+
 
 @router.post("/v1/chat/completions")
 @router.post("/chat/completions")
@@ -37,14 +218,58 @@ async def chat_completions(body: ChatCompletionBody, request: Request):
     question = body.messages[-1]
     if question.role == "user":
         question = question.content
+    elif question.role == "system":
+        question = body.messages[-2]
+        if question.role == "user":
+            question = question.content
+        else:
+            raise HTTPException(status.HTTP_400_BAD_REQUEST, "no question found")
     else:
         raise HTTPException(status.HTTP_400_BAD_REQUEST, "no question found")
 
-    completion_text = ""
+    interface = model.interface
+    user = model.user
+    bot = model.bot
+
+    completion_text = (
+        f"""
+The following is a coherent verbose detailed conversation between a girl named {bot} and her friend {user}. \
+{bot} is very intelligent, creative and friendly. \
+{bot} is unlikely to disagree with {user}, and {bot} doesn't like to ask {user} questions. \
+{bot} likes to tell {user} a lot about herself and her opinions. \
+{bot} usually gives {user} kind, helpful and informative advices.\n
+"""
+        if user == "Bob"
+        else f"{user}{interface} hi\n\n{bot}{interface} Hi. "
+        + "I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.\n\n"
+    )
+    for message in body.messages:
+        if message.role == "system":
+            completion_text = (
+                f"The following is a coherent verbose detailed conversation between a girl named {bot} and her friend {user}. "
+                if user == "Bob"
+                else f"{user}{interface} hi\n\n{bot}{interface} Hi. "
+                + message.content.replace("\\n", "\n")
+                .replace("\r\n", "\n")
+                .replace("\n\n", "\n")
+                .replace("\n", " ")
+                .strip()
+                .replace("You are", f"{bot} is" if user == "Bob" else "I am")
+                .replace("you are", f"{bot} is" if user == "Bob" else "I am")
+                .replace("You're", f"{bot} is" if user == "Bob" else "I'm")
+                .replace("you're", f"{bot} is" if user == "Bob" else "I'm")
+                .replace("You", f"{bot}" if user == "Bob" else "I")
+                .replace("you", f"{bot}" if user == "Bob" else "I")
+                .replace("Your", f"{bot}'s" if user == "Bob" else "My")
+                .replace("your", f"{bot}'s" if user == "Bob" else "my")
+                .replace("你", f"{bot}" if user == "Bob" else "我")
+                + "\n\n"
+            )
+            break
     for message in body.messages:
         if message.role == "user":
             completion_text += (
-                "Bob: "
+                f"{user}{interface} "
                 + message.content.replace("\\n", "\n")
                 .replace("\r\n", "\n")
                 .replace("\n\n", "\n")
@@ -53,100 +278,27 @@ async def chat_completions(body: ChatCompletionBody, request: Request):
             )
         elif message.role == "assistant":
             completion_text += (
-                "Alice: "
+                f"{bot}{interface} "
                 + message.content.replace("\\n", "\n")
                 .replace("\r\n", "\n")
                 .replace("\n\n", "\n")
                 .strip()
                 + "\n\n"
             )
-    completion_text += "Alice:"
-
-    async def eval_rwkv():
-        while completion_lock.locked():
-            await asyncio.sleep(0.1)
-        else:
-            completion_lock.acquire()
-            set_rwkv_config(model, global_var.get(global_var.Model_Config))
-            set_rwkv_config(model, body)
-            if body.stream:
-                for response, delta in rwkv_generate(
-                    model,
-                    completion_text,
-                    stop="\n\nBob" if body.stop is None else body.stop,
-                ):
-                    if await request.is_disconnected():
-                        break
-                    yield json.dumps(
-                        {
-                            "response": response,
-                            "model": "rwkv",
-                            "choices": [
-                                {
-                                    "delta": {"content": delta},
-                                    "index": 0,
-                                    "finish_reason": None,
-                                }
-                            ],
-                        }
-                    )
-                if await request.is_disconnected():
-                    completion_lock.release()
-                    return
-                yield json.dumps(
-                    {
-                        "response": response,
-                        "model": "rwkv",
-                        "choices": [
-                            {
-                                "delta": {},
-                                "index": 0,
-                                "finish_reason": "stop",
-                            }
-                        ],
-                    }
-                )
-                yield "[DONE]"
-            else:
-                response = None
-                for response, delta in rwkv_generate(
-                    model,
-                    completion_text,
-                    stop="\n\nBob" if body.stop is None else body.stop,
-                ):
-                    if await request.is_disconnected():
-                        break
-                if await request.is_disconnected():
-                    completion_lock.release()
-                    return
-                yield {
-                    "response": response,
-                    "model": "rwkv",
-                    "choices": [
-                        {
-                            "message": {
-                                "role": "assistant",
-                                "content": response,
-                            },
-                            "index": 0,
-                            "finish_reason": "stop",
-                        }
-                    ],
-                }
-            # torch_gc()
-            completion_lock.release()
+    completion_text += f"{bot}{interface}"
 
+    stop = f"\n\n{user}" if body.stop is None else body.stop
     if body.stream:
-        return EventSourceResponse(eval_rwkv())
+        return EventSourceResponse(
+            eval_rwkv(model, request, body, completion_text, body.stream, stop, True)
+        )
     else:
-        return await eval_rwkv().__anext__()
-
-
-class CompletionBody(ModelConfigBody):
-    prompt: str
-    model: str = "rwkv"
-    stream: bool = False
-    stop: str = None
+        try:
+            return await eval_rwkv(
+                model, request, body, completion_text, body.stream, stop, True
+            ).__anext__()
+        except StopAsyncIteration:
+            return None
 
 
 @router.post("/v1/completions")
@@ -156,74 +308,145 @@ async def completions(body: CompletionBody, request: Request):
     if model is None:
         raise HTTPException(status.HTTP_400_BAD_REQUEST, "model not loaded")
 
-    async def eval_rwkv():
-        while completion_lock.locked():
-            await asyncio.sleep(0.1)
-        else:
-            completion_lock.acquire()
-            set_rwkv_config(model, global_var.get(global_var.Model_Config))
-            set_rwkv_config(model, body)
-            if body.stream:
-                for response, delta in rwkv_generate(
-                    model, body.prompt, stop=body.stop
-                ):
-                    if await request.is_disconnected():
-                        break
-                    yield json.dumps(
-                        {
-                            "response": response,
-                            "model": "rwkv",
-                            "choices": [
-                                {
-                                    "text": delta,
-                                    "index": 0,
-                                    "finish_reason": None,
-                                }
-                            ],
-                        }
-                    )
-                if await request.is_disconnected():
-                    completion_lock.release()
-                    return
-                yield json.dumps(
-                    {
-                        "response": response,
-                        "model": "rwkv",
-                        "choices": [
-                            {
-                                "text": "",
-                                "index": 0,
-                                "finish_reason": "stop",
-                            }
-                        ],
-                    }
-                )
-                yield "[DONE]"
-            else:
-                response = None
-                for response, delta in rwkv_generate(
-                    model, body.prompt, stop=body.stop
-                ):
-                    if await request.is_disconnected():
-                        break
-                if await request.is_disconnected():
-                    completion_lock.release()
-                    return
-                yield {
-                    "response": response,
-                    "model": "rwkv",
-                    "choices": [
-                        {
-                            "text": response,
-                            "index": 0,
-                            "finish_reason": "stop",
-                        }
-                    ],
-                }
-            # torch_gc()
-            completion_lock.release()
+    if body.prompt is None or body.prompt == "":
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "prompt not found")
 
     if body.stream:
-        return EventSourceResponse(eval_rwkv())
+        return EventSourceResponse(
+            eval_rwkv(model, request, body, body.prompt, body.stream, body.stop, False)
+        )
     else:
-        return await eval_rwkv().__anext__()
+        try:
+            return await eval_rwkv(
+                model, request, body, body.prompt, body.stream, body.stop, False
+            ).__anext__()
+        except StopAsyncIteration:
+            return None
+
+
+class EmbeddingsBody(BaseModel):
+    input: str | List[str] | List[List[int]]
+    model: str = "rwkv"
+    encoding_format: str = None
+    fast_mode: bool = False
+
+    class Config:
+        schema_extra = {
+            "example": {
+                "input": "a big apple",
+                "model": "rwkv",
+                "encoding_format": None,
+                "fast_mode": False,
+            }
+        }
+
+
+def embedding_base64(embedding: List[float]) -> str:
+    return base64.b64encode(np.array(embedding).astype(np.float32)).decode("utf-8")
+
+
+@router.post("/v1/embeddings")
+@router.post("/embeddings")
+@router.post("/v1/engines/text-embedding-ada-002/embeddings")
+@router.post("/engines/text-embedding-ada-002/embeddings")
+async def embeddings(body: EmbeddingsBody, request: Request):
+    model: RWKV = global_var.get(global_var.Model)
+    if model is None:
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "model not loaded")
+
+    if body.input is None or body.input == "" or body.input == [] or body.input == [[]]:
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "input not found")
+
+    global requests_num
+    requests_num = requests_num + 1
+    quick_log(request, None, "Start Waiting. RequestsNum: " + str(requests_num))
+    while completion_lock.locked():
+        if await request.is_disconnected():
+            requests_num = requests_num - 1
+            print(f"{request.client} Stop Waiting (Lock)")
+            quick_log(
+                request,
+                None,
+                "Stop Waiting (Lock). RequestsNum: " + str(requests_num),
+            )
+            return
+        await asyncio.sleep(0.1)
+    else:
+        completion_lock.acquire()
+        if await request.is_disconnected():
+            completion_lock.release()
+            requests_num = requests_num - 1
+            print(f"{request.client} Stop Waiting (Lock)")
+            quick_log(
+                request,
+                None,
+                "Stop Waiting (Lock). RequestsNum: " + str(requests_num),
+            )
+            return
+
+        base64_format = False
+        if body.encoding_format == "base64":
+            base64_format = True
+
+        embeddings = []
+        prompt_tokens = 0
+        if type(body.input) == list:
+            if type(body.input[0]) == list:
+                encoding = tiktoken.model.encoding_for_model("text-embedding-ada-002")
+                for i in range(len(body.input)):
+                    if await request.is_disconnected():
+                        break
+                    input = encoding.decode(body.input[i])
+                    embedding, token_len = model.get_embedding(input, body.fast_mode)
+                    prompt_tokens = prompt_tokens + token_len
+                    if base64_format:
+                        embedding = embedding_base64(embedding)
+                    embeddings.append(embedding)
+            else:
+                for i in range(len(body.input)):
+                    if await request.is_disconnected():
+                        break
+                    embedding, token_len = model.get_embedding(
+                        body.input[i], body.fast_mode
+                    )
+                    prompt_tokens = prompt_tokens + token_len
+                    if base64_format:
+                        embedding = embedding_base64(embedding)
+                    embeddings.append(embedding)
+        else:
+            embedding, prompt_tokens = model.get_embedding(body.input, body.fast_mode)
+            if base64_format:
+                embedding = embedding_base64(embedding)
+            embeddings.append(embedding)
+
+        requests_num = requests_num - 1
+        completion_lock.release()
+        if await request.is_disconnected():
+            print(f"{request.client} Stop Waiting")
+            quick_log(
+                request,
+                None,
+                "Stop Waiting. RequestsNum: " + str(requests_num),
+            )
+            return
+        quick_log(
+            request,
+            None,
+            "Finished. RequestsNum: " + str(requests_num),
+        )
+
+        ret_data = [
+            {
+                "object": "embedding",
+                "index": i,
+                "embedding": embedding,
+            }
+            for i, embedding in enumerate(embeddings)
+        ]
+
+        return {
+            "object": "list",
+            "data": ret_data,
+            "model": model.name,
+            "usage": {"prompt_tokens": prompt_tokens, "total_tokens": prompt_tokens},
+        }

backend-python/routes/config.py

@@ -1,30 +1,59 @@
 import pathlib
+from utils.log import quick_log
 
-from fastapi import APIRouter, HTTPException, Response, status
+from fastapi import APIRouter, HTTPException, Request, Response, status as Status
 from pydantic import BaseModel
-from langchain.llms import RWKV
 from utils.rwkv import *
 from utils.torch import *
 import global_var
+import GPUtil
 
 router = APIRouter()
 
 
+def get_tokens_path(model_path: str):
+    model_path = model_path.lower()
+    default_tokens_path = (
+        f"{pathlib.Path(__file__).parent.parent.resolve()}/rwkv_pip/20B_tokenizer.json"
+    )
+    if "raven" in model_path:
+        return default_tokens_path
+    elif "world" in model_path:
+        return "rwkv_vocab_v20230424"
+    else:
+        return default_tokens_path
+
+
 class SwitchModelBody(BaseModel):
     model: str
     strategy: str
+    customCuda: bool = False
+
+    class Config:
+        schema_extra = {
+            "example": {
+                "model": "models/RWKV-4-World-3B-v1-20230619-ctx4096.pth",
+                "strategy": "cuda fp16",
+                "customCuda": False,
+            }
+        }
 
 
 @router.post("/switch-model")
-def switch_model(body: SwitchModelBody, response: Response):
+def switch_model(body: SwitchModelBody, response: Response, request: Request):
     if global_var.get(global_var.Model_Status) is global_var.ModelStatus.Loading:
-        response.status_code = status.HTTP_304_NOT_MODIFIED
+        response.status_code = Status.HTTP_304_NOT_MODIFIED
         return
 
     global_var.set(global_var.Model_Status, global_var.ModelStatus.Offline)
     global_var.set(global_var.Model, None)
     torch_gc()
 
+    if body.model == "":
+        return "success"
+
+    os.environ["RWKV_CUDA_ON"] = "1" if body.customCuda else "0"
+
     global_var.set(global_var.Model_Status, global_var.ModelStatus.Loading)
     try:
         global_var.set(
@@ -32,13 +61,16 @@ def switch_model(body: SwitchModelBody, response: Response):
             RWKV(
                 model=body.model,
                 strategy=body.strategy,
-                tokens_path=f"{pathlib.Path(__file__).parent.parent.resolve()}/20B_tokenizer.json",
+                tokens_path=get_tokens_path(body.model),
             ),
         )
     except Exception as e:
         print(e)
+        quick_log(request, body, f"Exception: {e}")
         global_var.set(global_var.Model_Status, global_var.ModelStatus.Offline)
-        raise HTTPException(status.HTTP_500_INTERNAL_SERVER_ERROR, "failed to load")
+        raise HTTPException(
+            Status.HTTP_500_INTERNAL_SERVER_ERROR, f"failed to load: {e}"
+        )
 
     if global_var.get(global_var.Model_Config) is None:
         global_var.set(
@@ -63,4 +95,13 @@ def update_config(body: ModelConfigBody):
 
 @router.get("/status")
 def status():
-    return {"status": global_var.get(global_var.Model_Status)}
+    gpus = GPUtil.getGPUs()
+    if len(gpus) == 0:
+        device_name = "CPU"
+    else:
+        device_name = gpus[0].name
+    return {
+        "status": global_var.get(global_var.Model_Status),
+        "pid": os.getpid(),
+        "device_name": device_name,
+    }

backend-python/routes/state_cache.py

@@ -0,0 +1,161 @@
+from typing import Any, Dict, List
+from utils.log import quick_log
+from fastapi import APIRouter, HTTPException, Request, Response, status
+from pydantic import BaseModel
+import gc
+import copy
+import sys
+import torch
+
+router = APIRouter()
+
+trie = None
+dtrie: Dict = {}
+max_trie_len = 3000
+loop_start_id = 1  # to prevent preloaded prompts from being deleted
+loop_del_trie_id = loop_start_id
+
+
+def init():
+    global trie
+    try:
+        import cyac
+
+        # import mmap
+        # import os
+        #
+        # if os.path.exists("state_cache.trie"):
+        #     with open("state_cache.trie", "r") as bf:
+        #         buff_object = mmap.mmap(bf.fileno(), 0, access=mmap.ACCESS_READ)
+        #     trie = cyac.Trie.from_buff(buff_object, copy=False)
+        # else:
+        trie = cyac.Trie()
+    except ModuleNotFoundError:
+        print("cyac not found")
+
+
+class AddStateBody(BaseModel):
+    prompt: str
+    tokens: List[str]
+    state: Any
+    logits: Any
+
+
+@router.post("/add-state")
+def add_state(body: AddStateBody):
+    global trie, dtrie, loop_del_trie_id
+    if trie is None:
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "trie not loaded")
+
+    try:
+        id: int = trie.insert(body.prompt)
+        device: torch.device = body.state[0].device
+        dtrie[id] = {
+            "tokens": copy.deepcopy(body.tokens),
+            "state": [tensor.cpu() for tensor in body.state]
+            if device != torch.device("cpu")
+            else copy.deepcopy(body.state),
+            "logits": copy.deepcopy(body.logits),
+            "device": device,
+        }
+
+        if len(trie) >= max_trie_len:
+            del_prompt = trie[loop_del_trie_id]
+            trie.remove(del_prompt)
+            dtrie[loop_del_trie_id] = None
+            loop_del_trie_id = loop_del_trie_id + 1
+            if loop_del_trie_id >= max_trie_len:
+                loop_del_trie_id = loop_start_id
+
+        quick_log(
+            None,
+            None,
+            f"New Trie Id: {id}\nTrie Len: {len(trie)}\nTrie Buff Size: {trie.buff_size()}\nDtrie Buff Size Of Id: {_get_a_dtrie_buff_size(dtrie[id])}",
+        )
+        return "success"
+    except Exception as e:
+        raise HTTPException(
+            status.HTTP_400_BAD_REQUEST, f"insert failed, bad prompt.\n{e}"
+        )
+
+
+@router.post("/reset-state")
+def reset_state():
+    global trie, dtrie
+    if trie is None:
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "trie not loaded")
+
+    trie = cyac.Trie()
+    dtrie = {}
+    gc.collect()
+
+    return "success"
+
+
+class LongestPrefixStateBody(BaseModel):
+    prompt: str
+
+
+def _get_a_dtrie_buff_size(dtrie_v):
+    # print(sys.getsizeof(dtrie_v["tokens"][0]))  # str
+    # print(sys.getsizeof(dtrie_v["tokens"][0]) * len(dtrie_v["tokens"]))
+    # print(dtrie_v["state"][0][0].element_size())
+    # print(dtrie_v["state"][0].nelement())
+    # print(len(dtrie_v["state"]))
+    # print(
+    #     len(dtrie_v["state"])
+    #     * dtrie_v["state"][0].nelement()
+    #     * dtrie_v["state"][0][0].element_size()
+    # )
+    # print(dtrie_v["logits"][0].element_size())
+    # print(dtrie_v["logits"].nelement())
+    # print(dtrie_v["logits"][0].element_size() * dtrie_v["logits"].nelement())
+    return 54 * len(dtrie_v["tokens"]) + 491520 + 262144 + 28  # TODO
+
+
+@router.post("/longest-prefix-state")
+def longest_prefix_state(body: LongestPrefixStateBody, request: Request):
+    global trie
+    if trie is None:
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "trie not loaded")
+
+    id = -1
+    try:
+        for id, len in trie.prefix(body.prompt):
+            pass
+    except:
+        pass
+    if id != -1:
+        v = dtrie[id]
+        device: torch.device = v["device"]
+        prompt: str = trie[id]
+
+        quick_log(request, body, "Hit:\n" + prompt)
+        return {
+            "prompt": prompt,
+            "tokens": v["tokens"],
+            "state": [tensor.to(device) for tensor in v["state"]]
+            if device != torch.device("cpu")
+            else v["state"],
+            "logits": v["logits"],
+            "device": device.type,
+        }
+    else:
+        return {
+            "prompt": "",
+            "tokens": [],
+            "state": None,
+            "logits": None,
+            "device": None,
+        }
+
+
+@router.post("/save-state")
+def save_state():
+    global trie
+    if trie is None:
+        raise HTTPException(status.HTTP_400_BAD_REQUEST, "trie not loaded")
+
+    # trie.save("state_cache.trie")
+
+    return "not implemented"

backend-python/rwkv_pip/rwkv_tokenizer.py

@@ -0,0 +1,106 @@
+########################################################################################################
+# The RWKV Language Model - https://github.com/BlinkDL/RWKV-LM
+########################################################################################################
+
+
+class TRIE:
+    __slots__ = tuple("ch,to,values,front".split(","))
+    to: list
+    values: set
+
+    def __init__(self, front=None, ch=None):
+        self.ch = ch
+        self.to = [None for ch in range(256)]
+        self.values = set()
+        self.front = front
+
+    def __repr__(self):
+        fr = self
+        ret = []
+        while fr != None:
+            if fr.ch != None:
+                ret.append(fr.ch)
+            fr = fr.front
+        return "<TRIE %s %s>" % (ret[::-1], self.values)
+
+    def add(self, key: bytes, idx: int = 0, val=None):
+        if idx == len(key):
+            if val is None:
+                val = key
+            self.values.add(val)
+            return self
+        ch = key[idx]
+        if self.to[ch] is None:
+            self.to[ch] = TRIE(front=self, ch=ch)
+        return self.to[ch].add(key, idx=idx + 1, val=val)
+
+    def find_longest(self, key: bytes, idx: int = 0):
+        u: TRIE = self
+        ch: int = key[idx]
+
+        while u.to[ch] is not None:
+            u = u.to[ch]
+            idx += 1
+            if u.values:
+                ret = idx, u, u.values
+            if idx == len(key):
+                break
+            ch = key[idx]
+        return ret
+
+
+class TRIE_TOKENIZER:
+    def __init__(self, file_name):
+        self.idx2token = {}
+        sorted = []  # must be already sorted
+        with open(file_name, "r", encoding="utf-8") as f:
+            lines = f.readlines()
+        for l in lines:
+            idx = int(l[: l.index(" ")])
+            x = eval(l[l.index(" ") : l.rindex(" ")])
+            x = x.encode("utf-8") if isinstance(x, str) else x
+            assert isinstance(x, bytes)
+            assert len(x) == int(l[l.rindex(" ") :])
+            sorted += [x]
+            self.idx2token[idx] = x
+
+        self.token2idx = {}
+        for k, v in self.idx2token.items():
+            self.token2idx[v] = int(k)
+
+        self.root = TRIE()
+        for t, i in self.token2idx.items():
+            _ = self.root.add(t, val=(t, i))
+
+    def encodeBytes(self, src: bytes):
+        idx: int = 0
+        tokens = []
+        while idx < len(src):
+            _idx: int = idx
+            idx, _, values = self.root.find_longest(src, idx)
+            assert idx != _idx
+            _, token = next(iter(values))
+            tokens.append(token)
+        return tokens
+
+    def decodeBytes(self, tokens):
+        return b"".join(map(lambda i: self.idx2token[i], tokens))
+
+    def encode(self, src):
+        return self.encodeBytes(src.encode("utf-8"))
+
+    def decode(self, tokens):
+        try:
+            return self.decodeBytes(tokens).decode("utf-8")
+        except:
+            return "\ufffd"  # bad utf-8
+
+    def printTokens(self, tokens):
+        for i in tokens:
+            s = self.idx2token[i]
+            try:
+                s = s.decode("utf-8")
+            except:
+                pass
+            print(f"{repr(s)}{i}", end=" ")
+        print()

backend-python/rwkv_pip/utils.py

@@ -0,0 +1,142 @@
+########################################################################################################
+# The RWKV Language Model - https://github.com/BlinkDL/RWKV-LM
+########################################################################################################
+
+import os, sys
+import numpy as np
+import torch
+from torch.nn import functional as F
+
+
+class PIPELINE_ARGS:
+    def __init__(
+        self,
+        temperature=1.0,
+        top_p=0.85,
+        top_k=0,
+        alpha_frequency=0.2,
+        alpha_presence=0.2,
+        token_ban=[],
+        token_stop=[],
+        chunk_len=256,
+    ):
+        self.temperature = temperature
+        self.top_p = top_p
+        self.top_k = top_k
+        self.alpha_frequency = alpha_frequency  # Frequency Penalty (as in GPT-3)
+        self.alpha_presence = alpha_presence  # Presence Penalty (as in GPT-3)
+        self.token_ban = token_ban  # ban the generation of some tokens
+        self.token_stop = token_stop  # stop generation whenever you see any token here
+        self.chunk_len = (
+            chunk_len  # split input into chunks to save VRAM (shorter -> slower)
+        )
+
+
+class PIPELINE:
+    def __init__(self, model, WORD_NAME):
+        self.model = model
+        if WORD_NAME == "cl100k_base":
+            import tiktoken
+
+            self.tokenizer = tiktoken.get_encoding(WORD_NAME)
+        elif WORD_NAME == "rwkv_vocab_v20230424":
+            sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
+            from rwkv_tokenizer import TRIE_TOKENIZER
+
+            self.tokenizer = TRIE_TOKENIZER(
+                os.path.dirname(os.path.abspath(__file__)) + "/rwkv_vocab_v20230424.txt"
+            )
+        else:
+            from tokenizers import Tokenizer
+
+            self.tokenizer = Tokenizer.from_file(WORD_NAME)
+
+    def refine_context(self, context):
+        context = context.strip().split("\n")
+        for c in range(len(context)):
+            context[c] = context[c].strip().strip("\u3000").strip("\r")
+        context = list(filter(lambda c: c != "", context))
+        context = "\n" + ("\n".join(context)).strip()
+        if context == "":
+            context = "\n"
+        return context
+
+    def encode(self, x):
+        if "Tokenizer" in str(type(self.tokenizer)):
+            return self.tokenizer.encode(x).ids
+        else:
+            return self.tokenizer.encode(x)
+
+    def decode(self, x):
+        return self.tokenizer.decode(x)
+
+    def sample_logits(self, logits, temperature=1.0, top_p=0.85, top_k=0):
+        probs = F.softmax(logits.float(), dim=-1)
+        top_k = int(top_k)
+        if probs.device == torch.device("cpu"):
+            probs = probs.numpy()
+            sorted_ids = np.argsort(probs)
+            sorted_probs = probs[sorted_ids][::-1]
+            cumulative_probs = np.cumsum(sorted_probs)
+            cutoff = float(sorted_probs[np.argmax(cumulative_probs > top_p)])
+            probs[probs < cutoff] = 0
+            if top_k < len(probs) and top_k > 0:
+                probs[sorted_ids[:-top_k]] = 0
+            if temperature != 1.0:
+                probs = probs ** (1.0 / temperature)
+            probs = probs / np.sum(probs)
+            out = np.random.choice(a=len(probs), p=probs)
+            return int(out)
+        else:
+            sorted_ids = torch.argsort(probs)
+            sorted_probs = probs[sorted_ids]
+            sorted_probs = torch.flip(sorted_probs, dims=(0,))
+            cumulative_probs = torch.cumsum(sorted_probs, dim=-1).cpu().numpy()
+            cutoff = float(sorted_probs[np.argmax(cumulative_probs > top_p)])
+            probs[probs < cutoff] = 0
+            if top_k < len(probs) and top_k > 0:
+                probs[sorted_ids[:-top_k]] = 0
+            if temperature != 1.0:
+                probs = probs ** (1.0 / temperature)
+            out = torch.multinomial(probs, num_samples=1)[0]
+            return int(out)
+
+    def generate(
+        self, ctx, token_count=100, args=PIPELINE_ARGS(), callback=None, state=None
+    ):
+        all_tokens = []
+        out_last = 0
+        out_str = ""
+        occurrence = {}
+        for i in range(token_count):
+            # forward & adjust prob.
+            tokens = self.encode(ctx) if i == 0 else [token]
+            while len(tokens) > 0:
+                out, state = self.model.forward(tokens[: args.chunk_len], state)
+                tokens = tokens[args.chunk_len :]
+
+            for n in args.token_ban:
+                out[n] = -float("inf")
+            for n in occurrence:
+                out[n] -= args.alpha_presence + occurrence[n] * args.alpha_frequency
+
+            # sampler
+            token = self.sample_logits(
+                out, temperature=args.temperature, top_p=args.top_p, top_k=args.top_k
+            )
+            if token in args.token_stop:
+                break
+            all_tokens += [token]
+            if token not in occurrence:
+                occurrence[token] = 1
+            else:
+                occurrence[token] += 1
+
+            # output
+            tmp = self.decode(all_tokens[out_last:])
+            if "\ufffd" not in tmp:  # is valid utf-8 string?
+                if callback:
+                    callback(tmp)
+                out_str += tmp
+                out_last = i + 1
+        return out_str

backend-python/utils/log.py

@@ -0,0 +1,38 @@
+import json
+import logging
+from typing import Any
+from fastapi import Request
+
+
+logger = logging.getLogger()
+logger.setLevel(logging.INFO)
+formatter = logging.Formatter("%(asctime)s - %(levelname)s\n%(message)s")
+fh = logging.handlers.RotatingFileHandler(
+    "api.log", mode="a", maxBytes=3 * 1024 * 1024, backupCount=3
+)
+fh.setFormatter(formatter)
+logger.addHandler(fh)
+
+
+def quick_log(request: Request, body: Any, response: str):
+    try:
+        logger.info(
+            f"Client: {request.client if request else ''}\nUrl: {request.url if request else ''}\n"
+            + (
+                f"Body: {json.dumps(body.__dict__, default=vars, ensure_ascii=False)}\n"
+                if body
+                else ""
+            )
+            + (f"Data:\n{response}\n" if response else "")
+        )
+    except Exception as e:
+        logger.info(f"Error quick_log request:\n{e}")
+
+
+async def log_middleware(request: Request):
+    try:
+        logger.info(
+            f"Client: {request.client}\nUrl: {request.url}\nBody: {await request.body()}\n"
+        )
+    except Exception as e:
+        logger.info(f"Error log_middleware request:\n{e}")

backend-python/utils/rwkv.py

@@ -1,26 +1,397 @@
-from typing import Dict
-from langchain.llms import RWKV
-from pydantic import BaseModel
+import os
+import pathlib
+import copy
+from typing import Dict, List, Tuple
+from utils.log import quick_log
+from fastapi import HTTPException
+from pydantic import BaseModel, Field
+import torch
+import numpy as np
+from rwkv_pip.utils import PIPELINE
+from routes import state_cache
+
+
+END_OF_TEXT = 0
+END_OF_LINE_DOUBLE = 535
+
+
+os.environ["TORCH_EXTENSIONS_DIR"] = f"{pathlib.Path(__file__).parent.parent.resolve()}"
+
+
+class RWKV:
+    def __init__(self, model: str, strategy: str, tokens_path: str) -> None:
+        from rwkv.model import RWKV as Model  # dynamic import to make RWKV_CUDA_ON work
+
+        filename, _ = os.path.splitext(os.path.basename(model))
+        self.name = filename
+        self.model = Model(model, strategy)
+        self.pipeline = PIPELINE(self.model, tokens_path)
+        self.model_state = None
+        self.model_tokens = []
+
+        self.CHUNK_LEN = 256
+
+        self.max_tokens_per_generation = 500
+        self.temperature = 1
+        self.top_p = 0.5
+        self.penalty_alpha_presence = 0.4
+        self.penalty_alpha_frequency = 0.4
+
+        self.interface = ":"
+        if "world" in self.name.lower():
+            self.user = "Question"
+            self.bot = "Answer"
+            self.END_OF_LINE = 11
+        else:
+            self.user = "Bob"
+            self.bot = "Alice"
+            self.END_OF_LINE = 187
+
+        self.AVOID_REPEAT_TOKENS = []
+        AVOID_REPEAT = "，：？！"
+        for i in AVOID_REPEAT:
+            dd = self.pipeline.encode(i)
+            assert len(dd) == 1
+            self.AVOID_REPEAT_TOKENS += dd
+
+        self.preload()
+
+    def preload(self):
+        interface = self.interface
+        user = self.user
+        bot = self.bot
+        preset_system = (
+            f"""
+The following is a coherent verbose detailed conversation between a girl named {bot} and her friend {user}. \
+{bot} is very intelligent, creative and friendly. \
+{bot} is unlikely to disagree with {user}, and {bot} doesn't like to ask {user} questions. \
+{bot} likes to tell {user} a lot about herself and her opinions. \
+{bot} usually gives {user} kind, helpful and informative advices.\n
+"""
+            if self.user == "Bob"
+            else f"{user}{interface} hi\n\n{bot}{interface} Hi. "
+            + "I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.\n\n"
+        )
+        logits, _ = self.run_rnn(self.fix_tokens(self.pipeline.encode(preset_system)))
+        try:
+            state_cache.add_state(
+                state_cache.AddStateBody(
+                    prompt=preset_system,
+                    tokens=self.model_tokens,
+                    state=self.model_state,
+                    logits=logits,
+                )
+            )
+        except HTTPException:
+            pass
+
+    # Model only saw '\n\n' as [187, 187] before, but the tokenizer outputs [535] for it at the end
+    def fix_tokens(self, tokens):
+        if "world" in self.name.lower():
+            return tokens
+        if len(tokens) > 0 and tokens[-1] == END_OF_LINE_DOUBLE:
+            tokens = tokens[:-1] + [self.END_OF_LINE, self.END_OF_LINE]
+        return tokens
+
+    def run_rnn(self, _tokens: List[str], newline_adj: int = 0):
+        tokens = [int(x) for x in _tokens]
+        token_len = len(tokens)
+        self.model_tokens += tokens
+
+        while len(tokens) > 0:
+            out, self.model_state = self.model.forward(
+                tokens[: self.CHUNK_LEN], self.model_state
+            )
+            tokens = tokens[self.CHUNK_LEN :]
+
+        out[self.END_OF_LINE] += newline_adj  # adjust \n probability
+
+        if self.model_tokens[-1] in self.AVOID_REPEAT_TOKENS:
+            out[self.model_tokens[-1]] = -999999999
+        return out, token_len
+
+    def get_embedding(self, input: str, fast_mode: bool) -> Tuple[List[float], int]:
+        if fast_mode:
+            embedding, token_len = self.fast_embedding(
+                self.fix_tokens(self.pipeline.encode(input)), None
+            )
+        else:
+            self.model_state = None
+            self.model_tokens = []
+            _, token_len = self.run_rnn(self.fix_tokens(self.pipeline.encode(input)))
+            embedding = self.model_state[-5].tolist()
+        embedding = (embedding / np.linalg.norm(embedding)).tolist()
+        return embedding, token_len
+
+    def fast_embedding(self, tokens: List[str], state):
+        tokens = [int(x) for x in tokens]
+        token_len = len(tokens)
+        self = self.model
+
+        with torch.no_grad():
+            w = self.w
+            args = self.args
+
+            if state == None:
+                state = [None] * args.n_layer * 5
+                for i in range(
+                    args.n_layer
+                ):  # state: 0=att_xx 1=att_aa 2=att_bb 3=att_pp 4=ffn_xx
+                    dd = self.strategy[i]
+                    dev = dd.device
+                    atype = dd.atype
+                    state[i * 5 + 0] = torch.zeros(
+                        args.n_embd, dtype=atype, requires_grad=False, device=dev
+                    ).contiguous()
+                    state[i * 5 + 1] = torch.zeros(
+                        args.n_embd, dtype=torch.float, requires_grad=False, device=dev
+                    ).contiguous()
+                    state[i * 5 + 2] = torch.zeros(
+                        args.n_embd, dtype=torch.float, requires_grad=False, device=dev
+                    ).contiguous()
+                    state[i * 5 + 3] = (
+                        torch.zeros(
+                            args.n_embd,
+                            dtype=torch.float,
+                            requires_grad=False,
+                            device=dev,
+                        ).contiguous()
+                        - 1e30
+                    )
+                    state[i * 5 + 4] = torch.zeros(
+                        args.n_embd, dtype=atype, requires_grad=False, device=dev
+                    ).contiguous()
+
+                    break
+
+            seq_mode = len(tokens) > 1
+
+            x = w["emb.weight"][tokens if seq_mode else tokens[0]]
+
+            for i in range(args.n_layer):
+                bbb = f"blocks.{i}."
+                att = f"blocks.{i}.att."
+                ffn = f"blocks.{i}.ffn."
+                dd = self.strategy[i]
+                dev = dd.device
+                atype = dd.atype
+                wtype = dd.wtype
+                if seq_mode:
+                    if "cuda" in str(dev) and os.environ["RWKV_CUDA_ON"] == "1":
+                        ATT = (
+                            self.cuda_att_seq
+                            if wtype != torch.uint8
+                            else self.cuda_att_seq_i8
+                        )
+                    else:
+                        ATT = self.att_seq if wtype != torch.uint8 else self.att_seq_i8
+                    FFN = self.ffn_seq if wtype != torch.uint8 else self.ffn_seq_i8
+                else:
+                    ATT = self.att_one if wtype != torch.uint8 else self.att_one_i8
+                    FFN = self.ffn_one if wtype != torch.uint8 else self.ffn_one_i8
+
+                x = x.to(dtype=atype, device=dev)
+
+                kw = w[f"{att}key.weight"]
+                vw = w[f"{att}value.weight"]
+                rw = w[f"{att}receptance.weight"]
+                ow = w[f"{att}output.weight"]
+                if dd.stream:
+                    kw = kw.to(device=dev, non_blocking=True)
+                    vw = vw.to(device=dev, non_blocking=True)
+                    rw = rw.to(device=dev, non_blocking=True)
+                    ow = ow.to(device=dev, non_blocking=True)
+                kmx = w[f"{att}key.weight_mx"] if wtype == torch.uint8 else x
+                krx = w[f"{att}key.weight_rx"] if wtype == torch.uint8 else x
+                kmy = w[f"{att}key.weight_my"] if wtype == torch.uint8 else x
+                kry = w[f"{att}key.weight_ry"] if wtype == torch.uint8 else x
+                vmx = w[f"{att}value.weight_mx"] if wtype == torch.uint8 else x
+                vrx = w[f"{att}value.weight_rx"] if wtype == torch.uint8 else x
+                vmy = w[f"{att}value.weight_my"] if wtype == torch.uint8 else x
+                vry = w[f"{att}value.weight_ry"] if wtype == torch.uint8 else x
+                rmx = w[f"{att}receptance.weight_mx"] if wtype == torch.uint8 else x
+                rrx = w[f"{att}receptance.weight_rx"] if wtype == torch.uint8 else x
+                rmy = w[f"{att}receptance.weight_my"] if wtype == torch.uint8 else x
+                rry = w[f"{att}receptance.weight_ry"] if wtype == torch.uint8 else x
+                omx = w[f"{att}output.weight_mx"] if wtype == torch.uint8 else x
+                orx = w[f"{att}output.weight_rx"] if wtype == torch.uint8 else x
+                omy = w[f"{att}output.weight_my"] if wtype == torch.uint8 else x
+                ory = w[f"{att}output.weight_ry"] if wtype == torch.uint8 else x
+                (
+                    x,
+                    state[i * 5 + 0],
+                    state[i * 5 + 1],
+                    state[i * 5 + 2],
+                    state[i * 5 + 3],
+                ) = ATT(
+                    x,
+                    state[i * 5 + 0],
+                    state[i * 5 + 1],
+                    state[i * 5 + 2],
+                    state[i * 5 + 3],
+                    w[f"{bbb}ln1.weight"],
+                    w[f"{bbb}ln1.bias"],
+                    w[f"{att}time_mix_k"],
+                    w[f"{att}time_mix_v"],
+                    w[f"{att}time_mix_r"],
+                    w[f"{att}time_decay"],
+                    w[f"{att}time_first"],
+                    kw,
+                    vw,
+                    rw,
+                    ow,
+                    kmx,
+                    krx,
+                    kmy,
+                    kry,
+                    vmx,
+                    vrx,
+                    vmy,
+                    vry,
+                    rmx,
+                    rrx,
+                    rmy,
+                    rry,
+                    omx,
+                    orx,
+                    omy,
+                    ory,
+                )
+
+                return state[0].tolist(), token_len
+
+    def generate(self, prompt: str, stop: str = None):
+        quick_log(None, None, "Generation Prompt:\n" + prompt)
+        cache = None
+        delta_prompt = prompt
+        try:
+            cache = state_cache.longest_prefix_state(
+                state_cache.LongestPrefixStateBody(prompt=prompt), None
+            )
+        except HTTPException:
+            pass
+        if cache is None or cache["prompt"] == "":
+            self.model_state = None
+            self.model_tokens = []
+        else:
+            delta_prompt = prompt[len(cache["prompt"]) :]
+            self.model_state = copy.deepcopy(cache["state"])
+            self.model_tokens = copy.deepcopy(cache["tokens"])
+            logits = copy.deepcopy(cache["logits"])
+
+        prompt_token_len = 0
+        if delta_prompt != "":
+            logits, prompt_token_len = self.run_rnn(
+                self.fix_tokens(self.pipeline.encode(delta_prompt))
+            )
+            try:
+                state_cache.add_state(
+                    state_cache.AddStateBody(
+                        prompt=prompt,
+                        tokens=self.model_tokens,
+                        state=self.model_state,
+                        logits=logits,
+                    )
+                )
+            except HTTPException:
+                pass
+
+        begin = len(self.model_tokens)
+        out_last = begin
+
+        occurrence: Dict = {}
+
+        completion_token_len = 0
+        response = ""
+        for i in range(self.max_tokens_per_generation):
+            for n in occurrence:
+                logits[n] -= (
+                    self.penalty_alpha_presence
+                    + occurrence[n] * self.penalty_alpha_frequency
+                )
+            token = self.pipeline.sample_logits(
+                logits, temperature=self.temperature, top_p=self.top_p
+            )
+
+            if token == END_OF_TEXT:
+                yield response, "", prompt_token_len, completion_token_len
+                break
+            for xxx in occurrence:
+                occurrence[xxx] *= 0.996
+            if token not in occurrence:
+                occurrence[token] = 1
+            else:
+                occurrence[token] += 1
+
+            logits, _ = self.run_rnn([token])
+            completion_token_len = completion_token_len + 1
+            delta: str = self.pipeline.decode(self.model_tokens[out_last:])
+            if "\ufffd" not in delta:  # avoid utf-8 display issues
+                response += delta
+                if stop is not None:
+                    if stop in response:
+                        try:
+                            state_cache.add_state(
+                                state_cache.AddStateBody(
+                                    prompt=prompt + response,
+                                    tokens=self.model_tokens,
+                                    state=self.model_state,
+                                    logits=logits,
+                                )
+                            )
+                        except HTTPException:
+                            pass
+                        response = response.split(stop)[0]
+                        yield response, "", prompt_token_len, completion_token_len
+                        break
+                out_last = begin + i + 1
+                if i == self.max_tokens_per_generation - 1:
+                    try:
+                        state_cache.add_state(
+                            state_cache.AddStateBody(
+                                prompt=prompt + response,
+                                tokens=self.model_tokens,
+                                state=self.model_state,
+                                logits=logits,
+                            )
+                        )
+                    except HTTPException:
+                        pass
+                yield response, delta, prompt_token_len, completion_token_len
 
 
 class ModelConfigBody(BaseModel):
-    max_tokens: int = None
-    temperature: float = None
-    top_p: float = None
-    presence_penalty: float = None
-    frequency_penalty: float = None
+    max_tokens: int = Field(default=None, gt=0, le=102400)
+    temperature: float = Field(default=None, ge=0, le=2)
+    top_p: float = Field(default=None, ge=0, le=1)
+    presence_penalty: float = Field(default=None, ge=-2, le=2)
+    frequency_penalty: float = Field(default=None, ge=-2, le=2)
+
+    class Config:
+        schema_extra = {
+            "example": {
+                "max_tokens": 1000,
+                "temperature": 1.2,
+                "top_p": 0.5,
+                "presence_penalty": 0.4,
+                "frequency_penalty": 0.4,
+            }
+        }
 
 
 def set_rwkv_config(model: RWKV, body: ModelConfigBody):
-    if body.max_tokens:
+    if body.max_tokens is not None:
         model.max_tokens_per_generation = body.max_tokens
-    if body.temperature:
-        model.temperature = body.temperature
-    if body.top_p:
+    if body.temperature is not None:
+        if body.temperature < 0.1:
+            model.temperature = 0.1
+        else:
+            model.temperature = body.temperature
+    if body.top_p is not None:
         model.top_p = body.top_p
-    if body.presence_penalty:
+    if body.presence_penalty is not None:
         model.penalty_alpha_presence = body.presence_penalty
-    if body.frequency_penalty:
+    if body.frequency_penalty is not None:
         model.penalty_alpha_frequency = body.frequency_penalty
 
 
@@ -32,46 +403,3 @@ def get_rwkv_config(model: RWKV) -> ModelConfigBody:
         presence_penalty=model.penalty_alpha_presence,
         frequency_penalty=model.penalty_alpha_frequency,
     )
-
-
-def rwkv_generate(model: RWKV, prompt: str, stop: str = None):
-    model.model_state = None
-    model.model_tokens = []
-    logits = model.run_rnn(model.tokenizer.encode(prompt).ids)
-    begin = len(model.model_tokens)
-    out_last = begin
-
-    occurrence: Dict = {}
-
-    response = ""
-    for i in range(model.max_tokens_per_generation):
-        for n in occurrence:
-            logits[n] -= (
-                model.penalty_alpha_presence
-                + occurrence[n] * model.penalty_alpha_frequency
-            )
-        token = model.pipeline.sample_logits(
-            logits, temperature=model.temperature, top_p=model.top_p
-        )
-
-        END_OF_TEXT = 0
-        if token == END_OF_TEXT:
-            break
-        if token not in occurrence:
-            occurrence[token] = 1
-        else:
-            occurrence[token] += 1
-
-        logits = model.run_rnn([token])
-        delta: str = model.tokenizer.decode(model.model_tokens[out_last:])
-        if "\ufffd" not in delta:  # avoid utf-8 display issues
-            response += delta
-            if stop is not None:
-                if stop in response:
-                    response = response.split(stop)[0]
-                    yield response, ""
-                    break
-            yield response, delta
-            out_last = begin + i + 1
-            if i >= model.max_tokens_per_generation - 100:
-                break

backend-python/wkv_cuda_utils/wkv_cuda_model.py

@@ -0,0 +1,734 @@
+########################################################################################################
+# The RWKV Language Model - https://github.com/BlinkDL/RWKV-LM
+########################################################################################################
+
+import types, gc, os, time, re
+import torch
+from torch.nn import functional as F
+torch.backends.cudnn.benchmark = True
+torch.backends.cudnn.allow_tf32 = True
+torch.backends.cuda.matmul.allow_tf32 = True
+current_path = os.path.dirname(os.path.abspath(__file__))
+
+# https://zhuanlan.zhihu.com/p/612879065
+def LoadPreCompileLibrary(file):
+    import importlib
+    import os
+
+    import torch
+
+    # load the custom_op_library and register the custom ops
+    lib_dir = os.path.dirname(__file__)
+    if os.name == "nt":
+        # Register the main torchvision library location on the default DLL path
+        import ctypes
+        import sys
+
+        kernel32 = ctypes.WinDLL("kernel32.dll", use_last_error=True)
+        with_load_library_flags = hasattr(kernel32, "AddDllDirectory")
+        prev_error_mode = kernel32.SetErrorMode(0x0001)
+
+        if with_load_library_flags:
+            kernel32.AddDllDirectory.restype = ctypes.c_void_p
+
+        if sys.version_info >= (3, 8):
+            os.add_dll_directory(lib_dir)
+        elif with_load_library_flags:
+            res = kernel32.AddDllDirectory(lib_dir)
+            if res is None:
+                err = ctypes.WinError(ctypes.get_last_error())
+                err.strerror += f' Error adding "{lib_dir}" to the DLL directories.'
+                raise ValueError(err)
+
+        kernel32.SetErrorMode(prev_error_mode)
+
+    loader_details = (
+        importlib.machinery.ExtensionFileLoader,
+        importlib.machinery.EXTENSION_SUFFIXES,
+    )
+
+    extfinder = importlib.machinery.FileFinder(lib_dir, loader_details)
+    ext_specs = extfinder.find_spec(file)
+    if ext_specs is None:
+        return False
+
+    try:
+        torch.ops.load_library(ext_specs.origin)
+    except OSError as exc:
+        return False
+    return True
+
+########################################################################################################
+
+if os.environ.get('RWKV_JIT_ON') != '0':
+    os.environ["RWKV_JIT_ON"] = '1'
+    MyModule = torch.jit.ScriptModule
+    MyFunction = torch.jit.script_method
+    MyStatic = torch.jit.script
+else:
+    MyModule = torch.nn.Module
+    def __nop(ob):
+        return ob
+    MyFunction = __nop
+    MyStatic = __nop
+
+if os.environ.get('RWKV_CUDA_ON') == '1':
+    if LoadPreCompileLibrary('wkv_cuda') is False:
+        from torch.utils.cpp_extension import load
+        load(
+            name=f"wkv_cuda",
+            sources=[f"{current_path}/cuda/wrapper.cpp", f"{current_path}/cuda/operators.cu"],
+            verbose=True,
+            extra_cuda_cflags=["-t 4", "-std=c++17", "--use_fast_math", "-O3", "--extra-device-vectorization"],
+            is_python_module=False)
+
+    @MyStatic
+    def cuda_wkv(T: int, C: int, w, u, k, v, aa, bb, pp):
+        assert 1 * C % min(C, 32) == 0
+        assert k.dtype == v.dtype == torch.float16 or k.dtype == v.dtype == torch.float32
+        assert w.dtype == u.dtype == aa.dtype == bb.dtype == pp.dtype == torch.float32
+        w = w.contiguous()
+        u = u.contiguous()
+        k = k.contiguous()
+        v = v.contiguous()
+        y = torch.empty((T, C), device=w.device, memory_format=torch.contiguous_format, dtype=k.dtype)
+        torch.ops.rwkv.wkv_forward(1, T, C, w, u, k, v, y, aa, bb, pp)
+        return y, aa, bb, pp
+    @MyStatic
+    def cuda_mm8_seq(B: int, N: int, M: int, x, w, mx, rx, my, ry):
+        assert x.dtype == mx.dtype == rx.dtype == my.dtype == ry.dtype
+        assert x.dtype == torch.float32 or x.dtype == torch.float16
+        assert w.dtype == torch.uint8
+        assert x.shape == [B, N]
+        assert w.shape == [N, M]
+        assert rx.shape == mx.shape == [M]
+        assert ry.shape == my.shape == [N, 1]
+        y = torch.empty((B, M), device=w.device, dtype=x.dtype)
+        torch.ops.rwkv.mm8_seq(B, N, M, x, w, mx, rx, my, ry, y)
+        return y
+    @MyStatic
+    def cuda_mm8_one(N: int, M: int, x, w, mx, rx, my, ry):
+        assert x.dtype == mx.dtype == rx.dtype == my.dtype == ry.dtype
+        assert x.dtype == torch.float32 or x.dtype == torch.float16
+        assert w.dtype == torch.uint8
+        assert x.shape == [N]
+        assert w.shape == [N, M]
+        assert rx.shape == mx.shape == [M]
+        assert ry.shape == my.shape == [N, 1]
+        y = torch.zeros((M,), device=w.device, dtype=torch.float32)
+        torch.ops.rwkv.mm8_one(N, M, x, w, mx, rx, my, ry, y)
+        return y.to(dtype=x.dtype)
+else:
+    os.environ["RWKV_CUDA_ON"] = '0'
+
+########################################################################################################
+
+class RWKV(MyModule):
+    def __init__(self, model, strategy, verbose = True, convert_and_save_and_exit = None):
+        super().__init__()
+        if verbose:
+            prxxx = lambda *args, **kwargs: print(*args, **kwargs)
+        else:
+            prxxx = lambda *args, **kwargs: None
+
+        STRATEGY_REGEX = r"^(?:(?:^|->) *(?:cuda(?::[\d]+)?|cpu|mps) (?:fp(?:16|32)|bf16)(?:i8|i4|i3)?(?: \*[\d]+\+?)? *)+$"
+        if not re.match(STRATEGY_REGEX, strategy):
+            raise ValueError("Invalid strategy. Please read https://pypi.org/project/rwkv/")
+
+        strategy = ('->'.join([x.strip() for x in strategy.split('->')])).replace('->', ' -> ')
+        self.args = types.SimpleNamespace()
+        args = self.args
+        args.MODEL_NAME = model
+        args.strategy_string = strategy
+
+        # Rescale for fp16 mode: set x = x/2 every X layer (to avoid fp16 overflow)
+        self.RESCALE_LAYER = 6 if 'fp16' in strategy else 0
+        prxxx(f'RWKV_JIT_ON {os.environ["RWKV_JIT_ON"]} RWKV_CUDA_ON {os.environ["RWKV_CUDA_ON"]} RESCALE_LAYER {self.RESCALE_LAYER}\n')
+
+        args.MODEL_NAME = args.MODEL_NAME.strip()
+        if not args.MODEL_NAME.endswith('.pth'):
+            args.MODEL_NAME += '.pth'
+        prxxx(f'Loading {args.MODEL_NAME} ...')
+        with torch.no_grad():
+            self.w = torch.load(args.MODEL_NAME, map_location='cpu') # load model to CPU first
+            gc.collect()
+            w = self.w
+
+            ALREADY_CONVERTED = False
+            if '_strategy' in w:
+                ALREADY_CONVERTED = True
+                assert convert_and_save_and_exit == None # you should only convert a raw model
+                prxxx(f"Converted model: strategy {w['_strategy']}, version {w['_version']}\n")
+                assert w['_strategy'] == args.strategy_string # if you are using a new strategy, re-convert the model
+                assert float(w['_version']) >= 0.7 # sometimes you should re-convert using latest convert_model.py
+                assert w['_rescale_layer'] == self.RESCALE_LAYER
+                del w['_strategy']
+                del w['_version']
+                del w['_rescale_layer']
+            
+            args.n_embd = w['emb.weight'].shape[1]
+            args.n_layer = 0
+            keys = list(w.keys())
+            for x in keys:
+                layer_id = int(x.split('.')[1]) if ('blocks.' in x) else 0
+                args.n_layer = max(args.n_layer, layer_id+1)
+
+            ####################### Compute strategy
+
+            s = [x.strip().split(' ') for x in strategy.split('->')]
+            plan = [0] * len(s)
+            stream_i = -1
+            stream_count = 0
+            to_allocate = args.n_layer + 1
+            allocated = 0
+            free_slots = 0
+            for i in range(len(s)):
+                si = s[i]
+                si1 = si[1]
+                if si1.startswith('fp32'): si[1] = [torch.float]
+                elif si1.startswith('fp16'): si[1] = [torch.float16]
+                elif si1.startswith('bf16'): si[1] = [torch.bfloat16]
+                if si1.endswith('i8'): si[1] += [torch.uint8]
+                else: si[1] += [si[1][0]]
+                if len(si) > 2:
+                    ss = si[2]
+                    assert ss.startswith('*')
+                    if ss.endswith('+'):
+                        plan[i] = int(ss[1:-1])
+                        stream_i = i
+                    else:
+                        plan[i] = int(ss[1:])
+                    allocated += plan[i]
+                    if allocated >= to_allocate:
+                        plan[i] += to_allocate - allocated
+                        break
+                else:
+                    free_slots += 1
+            if stream_i < 0:
+                if free_slots > 0 and to_allocate > allocated:
+                    for i in range(len(s)):
+                        if plan[i] == 0:
+                            plan[i] = (to_allocate - allocated) // free_slots
+                            allocated += plan[i]
+                            free_slots -= 1
+                if to_allocate > allocated:
+                    plan[len(s)-1] += to_allocate - allocated
+            else:
+                if to_allocate > allocated:
+                    stream_count = to_allocate - allocated
+                    plan[stream_i] += stream_count
+            prxxx(f'Strategy: (total {args.n_layer}+1={args.n_layer+1} layers)')
+            for i in range(len(s)):
+                ss = s[i]
+                if i != stream_i:
+                    prxxx(f'* {ss[0]} {str(ss[1]).replace("torch.","")}, store {plan[i]} layers')
+                else:
+                    prxxx(f'* {ss[0]} {str(ss[1]).replace("torch.","")}, store {plan[i]-stream_count} layers, stream {stream_count} layers')
+                plan[i] += (0 if i == 0 else plan[i-1])
+            self.strategy = [None] * (args.n_layer + 1)
+            strategy = self.strategy
+            for n in range(args.n_layer + 1):
+                for i in range(len(s)):
+                    if n < plan[i]:
+                        strategy[n] = types.SimpleNamespace()
+                        strategy[n].device = s[i][0]
+                        strategy[n].atype = s[i][1][0]
+                        strategy[n].wtype = s[i][1][1]
+                        strategy[n].stream = False
+                        if i == stream_i and n >= (plan[i] - stream_count):
+                            strategy[n].stream = True
+                        break
+                prxxx(f"{n}-{strategy[n].device}-{str(strategy[n].atype).replace('torch.','')}-{str(strategy[n].wtype).replace('torch.','')}{'-stream' if strategy[n].stream else ''}",end=' ')
+            prxxx()
+
+            ####################### Load weights to self.w
+
+            if not ALREADY_CONVERTED:
+                try: # precompute embedding
+                    w['emb.weight'] = F.layer_norm(w['emb.weight'], (args.n_embd,), weight=w['blocks.0.ln0.weight'], bias=w['blocks.0.ln0.bias'])
+                except:
+                    w['emb.weight'] = F.layer_norm(w['emb.weight'].float(), (args.n_embd,), weight=w['blocks.0.ln0.weight'].float(), bias=w['blocks.0.ln0.bias'].float())
+                del w['blocks.0.ln0.weight']
+                del w['blocks.0.ln0.bias']
+
+            print_need_newline = False
+            keys = list(w.keys())
+            for x in keys:
+                w[x].requires_grad = False
+                layer_id = int(x.split('.')[1]) if ('blocks.' in x) else 0
+                if ('ln_out.' in x) or ('head.' in x):
+                    layer_id = args.n_layer
+                dd = strategy[layer_id]
+                DEVICE = dd.device
+                ATYPE = dd.atype
+                WTYPE = dd.wtype
+
+                if not ALREADY_CONVERTED:
+                    if self.RESCALE_LAYER > 0:
+                        if 'att.output.weight' in x:
+                            w[x] = w[x] / (2 ** int(layer_id // self.RESCALE_LAYER))
+                        if 'ffn.value.weight' in x:
+                            w[x] = w[x] / (2 ** int(layer_id // self.RESCALE_LAYER))
+
+                    if '.time_' in x:
+                        w[x] = w[x].squeeze()
+                    if 'key.weight' in x or 'value.weight' in x or 'receptance.weight' in x or 'output.weight' in x or 'head.weight' in x:
+                        w[x] = w[x].t()
+
+                    if '.time_decay' in x: # need fp32 for this
+                        w[x] = -torch.exp(w[x].float())
+                    elif '.time_first' in x: # need fp32 for this
+                        w[x] = w[x].float()
+                    else:
+                        if (len(w[x].shape) == 2) and ('emb' not in x):
+                            if WTYPE != torch.uint8:
+                                w[x] = w[x].to(dtype=WTYPE)
+                            else:
+                                w[x] = w[x].float()
+
+                                if w[x].shape[0] > w[x].shape[1]:
+                                    w[x+'_my'] = torch.amin(w[x], dim=1).unsqueeze(1)
+                                    w[x] = w[x] - w[x+'_my']
+                                    w[x+'_mx'] = torch.amin(w[x], dim=0)
+                                    w[x] = w[x] - w[x+'_mx']
+                                    w[x+'_rx'] = torch.amax(w[x], dim=0)
+                                    w[x] = w[x] / w[x+'_rx']
+                                    w[x+'_ry'] = torch.amax(w[x], dim=1).unsqueeze(1)
+                                    w[x] = w[x] / w[x+'_ry']
+                                else:
+                                    w[x+'_mx'] = torch.amin(w[x], dim=0)
+                                    w[x] = w[x] - w[x+'_mx']
+                                    w[x+'_my'] = torch.amin(w[x], dim=1).unsqueeze(1)
+                                    w[x] = w[x] - w[x+'_my']
+                                    w[x+'_rx'] = torch.amax(w[x], dim=0)
+                                    w[x] = w[x] / w[x+'_rx']
+                                    w[x+'_ry'] = torch.amax(w[x], dim=1).unsqueeze(1)
+                                    w[x] = w[x] / w[x+'_ry']
+
+                                w[x] = torch.clip(torch.floor(w[x] * 256), min=0, max=255).to(dtype=torch.uint8)
+                                w[x+'_mx'] = w[x+'_mx'].to(dtype=ATYPE).contiguous()
+                                w[x+'_rx'] = (w[x+'_rx'] / 16).to(dtype=ATYPE).contiguous()
+                                w[x+'_my'] = w[x+'_my'].to(dtype=ATYPE).contiguous()
+                                w[x+'_ry'] = (w[x+'_ry'] / 16).to(dtype=ATYPE).contiguous()
+                        else:
+                            w[x] = w[x].to(dtype=ATYPE)
+                
+                if convert_and_save_and_exit == None:
+                    if 'emb.' in x:
+                        w[x] = w[x].contiguous()
+                    elif (dd.stream) and (x.endswith('key.weight') or x.endswith('value.weight') or x.endswith('receptance.weight') or x.endswith('output.weight')):
+                        try:
+                            w[x] = w[x].contiguous().pin_memory() # if you see "CUDA error: out of memory" here, that's out of CPU RAM, not VRAM. Get more RAM :)
+                        except:
+                            print('Note: You are running out of RAM. Get more CPU RAM. Now this will run much slower.')
+                    elif DEVICE != 'cpu':
+                        w[x] = w[x].to(device=DEVICE).contiguous()
+                    
+                    if (dd.stream) or (DEVICE != 'cpu'):
+                        try:
+                            w[x+'_mx'] = w[x+'_mx'].to(device=DEVICE).contiguous()
+                            w[x+'_rx'] = w[x+'_rx'].to(device=DEVICE).contiguous()
+                            w[x+'_my'] = w[x+'_my'].to(device=DEVICE).contiguous()
+                            w[x+'_ry'] = w[x+'_ry'].to(device=DEVICE).contiguous()
+                        except:
+                            pass
+
+                if 'ffn.value.weight' in x:
+                    gc.collect()
+                    if 'cuda' in args.strategy_string:
+                        torch.cuda.empty_cache()
+
+                shape = [i for i in w[x].shape if i != 1]
+                if len(shape) > 1:
+                    shape = f" {str(shape[0]).rjust(5)} {str(shape[1]).rjust(5)}"
+                else:
+                    shape = f" {str(shape[0]).rjust(5)}      "
+                if layer_id == 0 or layer_id >= args.n_layer-1:
+                    if print_need_newline:
+                        prxxx('\n', end = '')
+                        print_need_newline = False
+                    dt = str(w[x].dtype).replace('torch.', '')
+                    dt = dt.replace('float32', 'f32').replace('bfloat16', 'bf16').replace('float16', 'f16').replace('uint8', 'i8')
+                    prxxx(x.ljust(32), dt.rjust(4), str(w[x].device).rjust(8), shape, ' (pinned)' if w[x].is_pinned() else '')
+                else:
+                    print_need_newline = True
+                    prxxx('.', end = '', flush = True)
+            
+            if convert_and_save_and_exit:
+                w['_strategy'] = args.strategy_string
+                w['_rescale_layer'] = self.RESCALE_LAYER
+                w['_version'] = '0.7'
+                if not convert_and_save_and_exit.endswith('.pth'):
+                    convert_and_save_and_exit += '.pth'
+                prxxx(f'Saving to {convert_and_save_and_exit}...')
+                torch.save(w, convert_and_save_and_exit)
+                prxxx(f'Converted and saved. Now this will exit.')
+                exit(0)
+            
+            gc.collect()
+            if 'cuda' in args.strategy_string:
+                torch.cuda.empty_cache()
+
+    @MyFunction
+    def torch_mm8_seq(self, x, w, mx, rx, my, ry):
+        return x @ ((w.to(dtype=x.dtype) + 0.5) * ry * rx + my + mx)
+
+    @MyFunction
+    def torch_mm8_one(self, x, w, mx, rx, my, ry):
+        return x @ ((w.to(dtype=x.dtype) + 0.5) * ry * rx + my + mx)
+
+    if os.environ.get('RWKV_CUDA_ON') == '1':
+        @MyFunction
+        def mm8_seq(self, x, w, mx, rx, my, ry):
+            if w.device.type == 'cuda' and x.dtype == torch.float16:
+                B, N, M = x.shape[0], w.shape[0], w.shape[1]
+                return cuda_mm8_seq(B, N, M, x, w, mx, rx, my, ry)
+            else:
+                return self.torch_mm8_seq(x, w, mx, rx, my, ry)
+        @MyFunction
+        def mm8_one(self, x, w, mx, rx, my, ry):
+            if w.device.type == 'cuda':
+                N, M = w.shape[0], w.shape[1]
+                return cuda_mm8_one(N, M, x, w, mx, rx, my, ry)
+            else:
+                return self.torch_mm8_one(x, w, mx, rx, my, ry)
+    else:
+        @MyFunction
+        def mm8_seq(self, x, w, mx, rx, my, ry):
+            return self.torch_mm8_seq(x, w, mx, rx, my, ry)
+        @MyFunction
+        def mm8_one(self, x, w, mx, rx, my, ry):
+            return self.torch_mm8_one(x, w, mx, rx, my, ry)
+
+    ########################################################################################################
+
+    @MyFunction
+    def ffn_one(self, x, sx, ln_w, ln_b, k_mix, r_mix, kw, vw, rw, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry):
+        xx = F.layer_norm(x, (x.shape[-1],), weight=ln_w, bias=ln_b)
+        kx = xx * k_mix + sx * (1 - k_mix)
+        rx = xx * r_mix + sx * (1 - r_mix)
+
+        r = torch.sigmoid(rx @ rw)
+        vx = torch.square(torch.relu(kx @ kw))
+        out = r * (vx @ vw)
+        return x + out, xx
+
+    @MyFunction
+    def ffn_one_i8(self, x, sx, ln_w, ln_b, k_mix, r_mix, kw, vw, rw, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry):
+        xx = F.layer_norm(x, (x.shape[-1],), weight=ln_w, bias=ln_b)
+        kx = xx * k_mix + sx * (1 - k_mix)
+        rx = xx * r_mix + sx * (1 - r_mix)
+
+        r = torch.sigmoid(self.mm8_one(rx, rw, rmx, rrx, rmy, rry))
+        vx = torch.square(torch.relu(self.mm8_one(kx, kw, kmx, krx, kmy, kry)))
+        out = r * (self.mm8_one(vx, vw, vmx, vrx, vmy, vry))
+        return x + out, xx
+    
+    ########################################################################################################
+
+    @MyFunction
+    def ffn_seq(self, x, sx, ln_w, ln_b, k_mix, r_mix, kw, vw, rw, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry):
+        xx = F.layer_norm(x, (x.shape[-1],), weight=ln_w, bias=ln_b)
+        sx = torch.cat((sx.unsqueeze(0), xx[:-1,:]))
+        kx = xx * k_mix + sx * (1 - k_mix)
+        rx = xx * r_mix + sx * (1 - r_mix)
+
+        r = torch.sigmoid(rx @ rw)
+        vx = torch.square(torch.relu(kx @ kw))
+        out = r * (vx @ vw)
+        return x + out, xx[-1,:]
+
+    @MyFunction
+    def ffn_seq_i8(self, x, sx, ln_w, ln_b, k_mix, r_mix, kw, vw, rw, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry):
+        xx = F.layer_norm(x, (x.shape[-1],), weight=ln_w, bias=ln_b)
+        sx = torch.cat((sx.unsqueeze(0), xx[:-1,:]))
+        kx = xx * k_mix + sx * (1 - k_mix)
+        rx = xx * r_mix + sx * (1 - r_mix)
+
+        r = torch.sigmoid(self.mm8_seq(rx, rw, rmx, rrx, rmy, rry))
+        vx = torch.square(torch.relu(self.mm8_seq(kx, kw, kmx, krx, kmy, kry)))
+        out = r * (self.mm8_seq(vx, vw, vmx, vrx, vmy, vry))
+        return x + out, xx[-1,:]
+
+    ########################################################################################################
+
+    @MyFunction
+    def att_one(self, x, sx, aa, bb, pp, ln_w, ln_b, k_mix, v_mix, r_mix, t_decay, t_first, kw, vw, rw, ow, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry, omx, orx, omy, ory):
+        xx = F.layer_norm(x, (x.shape[-1],), weight=ln_w, bias=ln_b)
+        kx = xx * k_mix + sx * (1 - k_mix)
+        vx = xx * v_mix + sx * (1 - v_mix)
+        rx = xx * r_mix + sx * (1 - r_mix)
+
+        r = torch.sigmoid(rx @ rw)
+        k = (kx @ kw).float()
+        v = (vx @ vw).float()
+
+        ww = t_first + k
+        p = torch.maximum(pp, ww)
+        e1 = torch.exp(pp - p)
+        e2 = torch.exp(ww - p)
+        wkv = ((e1 * aa + e2 * v) / (e1 * bb + e2)).to(dtype=x.dtype)
+        ww = t_decay + pp
+        p = torch.maximum(ww, k)
+        e1 = torch.exp(ww - p)
+        e2 = torch.exp(k - p)
+
+        out = (r * wkv) @ ow
+        return x + out, xx, e1 * aa + e2 * v, e1 * bb + e2, p
+
+    @MyFunction
+    def att_one_i8(self, x, sx, aa, bb, pp, ln_w, ln_b, k_mix, v_mix, r_mix, t_decay, t_first, kw, vw, rw, ow, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry, omx, orx, omy, ory):
+        xx = F.layer_norm(x, (x.shape[-1],), weight=ln_w, bias=ln_b)
+        kx = xx * k_mix + sx * (1 - k_mix)
+        vx = xx * v_mix + sx * (1 - v_mix)
+        rx = xx * r_mix + sx * (1 - r_mix)
+
+        r = torch.sigmoid(self.mm8_one(rx, rw, rmx, rrx, rmy, rry))
+        k = (self.mm8_one(kx, kw, kmx, krx, kmy, kry)).float()
+        v = (self.mm8_one(vx, vw, vmx, vrx, vmy, vry)).float()
+
+        ww = t_first + k
+        p = torch.maximum(pp, ww)
+        e1 = torch.exp(pp - p)
+        e2 = torch.exp(ww - p)
+        wkv = ((e1 * aa + e2 * v) / (e1 * bb + e2)).to(dtype=x.dtype)
+        ww = t_decay + pp
+        p = torch.maximum(ww, k)
+        e1 = torch.exp(ww - p)
+        e2 = torch.exp(k - p)
+
+        out = self.mm8_one(r * wkv, ow, omx, orx, omy, ory)
+        return x + out, xx, e1 * aa + e2 * v, e1 * bb + e2, p
+
+    ########################################################################################################
+
+    @MyFunction
+    def att_seq(self, x, sx, aa, bb, pp, ln_w, ln_b, k_mix, v_mix, r_mix, t_decay, t_first, kw, vw, rw, ow, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry, omx, orx, omy, ory):
+        xx = F.layer_norm(x, (x.shape[-1],), weight=ln_w, bias=ln_b)
+        sx = torch.cat((sx.unsqueeze(0), xx[:-1,:]))
+        kx = xx * k_mix + sx * (1 - k_mix)
+        vx = xx * v_mix + sx * (1 - v_mix)
+        rx = xx * r_mix + sx * (1 - r_mix)
+
+        r = torch.sigmoid(rx @ rw)
+        k = (kx @ kw).float()
+        v = (vx @ vw).float()
+
+        T = x.shape[0]
+        for t in range(T):
+            kk = k[t]
+            vv = v[t]
+            ww = t_first + kk
+            p = torch.maximum(pp, ww)
+            e1 = torch.exp(pp - p)
+            e2 = torch.exp(ww - p)
+            sx[t] = ((e1 * aa + e2 * vv) / (e1 * bb + e2)).to(dtype=x.dtype)
+            ww = t_decay + pp
+            p = torch.maximum(ww, kk)
+            e1 = torch.exp(ww - p)
+            e2 = torch.exp(kk - p)
+            aa = e1 * aa + e2 * vv
+            bb = e1 * bb + e2
+            pp = p
+        out = (r * sx) @ ow
+        return x + out, xx[-1,:], aa, bb, pp
+
+    @MyFunction
+    def att_seq_i8(self, x, sx, aa, bb, pp, ln_w, ln_b, k_mix, v_mix, r_mix, t_decay, t_first, kw, vw, rw, ow, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry, omx, orx, omy, ory):
+        xx = F.layer_norm(x, (x.shape[-1],), weight=ln_w, bias=ln_b)
+        sx = torch.cat((sx.unsqueeze(0), xx[:-1,:]))
+        kx = xx * k_mix + sx * (1 - k_mix)
+        vx = xx * v_mix + sx * (1 - v_mix)
+        rx = xx * r_mix + sx * (1 - r_mix)
+
+        r = torch.sigmoid(self.mm8_seq(rx, rw, rmx, rrx, rmy, rry))
+        k = self.mm8_seq(kx, kw, kmx, krx, kmy, kry).float()
+        v = self.mm8_seq(vx, vw, vmx, vrx, vmy, vry).float()
+
+        T = x.shape[0]
+        for t in range(T):
+            kk = k[t]
+            vv = v[t]
+            ww = t_first + kk
+            p = torch.maximum(pp, ww)
+            e1 = torch.exp(pp - p)
+            e2 = torch.exp(ww - p)
+            sx[t] = ((e1 * aa + e2 * vv) / (e1 * bb + e2)).to(dtype=x.dtype)
+            ww = t_decay + pp
+            p = torch.maximum(ww, kk)
+            e1 = torch.exp(ww - p)
+            e2 = torch.exp(kk - p)
+            aa = e1 * aa + e2 * vv
+            bb = e1 * bb + e2
+            pp = p
+        out = self.mm8_seq(r * sx, ow, omx, orx, omy, ory)
+        return x + out, xx[-1,:], aa, bb, pp
+
+    ########################################################################################################
+
+    if os.environ["RWKV_CUDA_ON"] == '1':
+        @MyFunction
+        def cuda_att_seq(self, x, sx, aa, bb, pp, ln_w, ln_b, k_mix, v_mix, r_mix, t_decay, t_first, kw, vw, rw, ow, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry, omx, orx, omy, ory):
+            T, C = x.size()
+            xx = F.layer_norm(x, (C,), weight=ln_w, bias=ln_b)
+            sx = torch.cat((sx.unsqueeze(0), xx[:-1,:]))
+            kx = xx * k_mix + sx * (1 - k_mix)
+            vx = xx * v_mix + sx * (1 - v_mix)
+            rx = xx * r_mix + sx * (1 - r_mix)
+
+            r = torch.sigmoid(rx @ rw)
+            k = kx @ kw
+            v = vx @ vw
+            y, aa, bb, pp = cuda_wkv(T, C, t_decay, t_first, k, v, aa, bb, pp)
+            
+            out = (r * y) @ ow
+            return x + out, xx[-1,:], aa, bb, pp
+
+        @MyFunction
+        def cuda_att_seq_i8(self, x, sx, aa, bb, pp, ln_w, ln_b, k_mix, v_mix, r_mix, t_decay, t_first, kw, vw, rw, ow, kmx, krx, kmy, kry, vmx, vrx, vmy, vry, rmx, rrx, rmy, rry, omx, orx, omy, ory):
+            T, C = x.size()
+            xx = F.layer_norm(x, (C,), weight=ln_w, bias=ln_b)
+            sx = torch.cat((sx.unsqueeze(0), xx[:-1,:]))
+            kx = xx * k_mix + sx * (1 - k_mix)
+            vx = xx * v_mix + sx * (1 - v_mix)
+            rx = xx * r_mix + sx * (1 - r_mix)
+
+            r = torch.sigmoid(self.mm8_seq(rx, rw, rmx, rrx, rmy, rry))
+            k = self.mm8_seq(kx, kw, kmx, krx, kmy, kry)
+            v = self.mm8_seq(vx, vw, vmx, vrx, vmy, vry)
+            y, aa, bb, pp = cuda_wkv(T, C, t_decay, t_first, k, v, aa, bb, pp)
+
+            out = self.mm8_seq(r * y, ow, omx, orx, omy, ory)
+            return x + out, xx[-1,:], aa, bb, pp
+
+    ########################################################################################################
+
+    def forward(self, tokens, state, full_output=False):
+        with torch.no_grad():
+            w = self.w
+            args = self.args
+
+            if state == None:
+                state = [None] * args.n_layer * 5
+                for i in range(args.n_layer): # state: 0=att_xx 1=att_aa 2=att_bb 3=att_pp 4=ffn_xx
+                    dd = self.strategy[i]
+                    dev = dd.device
+                    atype = dd.atype
+                    state[i*5+0] = torch.zeros(args.n_embd, dtype=atype, requires_grad=False, device=dev).contiguous()
+                    state[i*5+1] = torch.zeros(args.n_embd, dtype=torch.float, requires_grad=False, device=dev).contiguous()
+                    state[i*5+2] = torch.zeros(args.n_embd, dtype=torch.float, requires_grad=False, device=dev).contiguous()
+                    state[i*5+3] = torch.zeros(args.n_embd, dtype=torch.float, requires_grad=False, device=dev).contiguous() - 1e30
+                    state[i*5+4] = torch.zeros(args.n_embd, dtype=atype, requires_grad=False, device=dev).contiguous()
+
+            seq_mode = len(tokens) > 1
+
+            x = w['emb.weight'][tokens if seq_mode else tokens[0]]
+
+            for i in range(args.n_layer):
+                bbb = f'blocks.{i}.'
+                att = f'blocks.{i}.att.'
+                ffn = f'blocks.{i}.ffn.'
+                dd = self.strategy[i]
+                dev = dd.device
+                atype = dd.atype
+                wtype = dd.wtype
+                if seq_mode:
+                    if 'cuda' in str(dev) and os.environ["RWKV_CUDA_ON"] == '1':
+                        ATT = self.cuda_att_seq if wtype != torch.uint8 else self.cuda_att_seq_i8
+                    else:
+                        ATT = self.att_seq if wtype != torch.uint8 else self.att_seq_i8
+                    FFN = self.ffn_seq if wtype != torch.uint8 else self.ffn_seq_i8
+                else:
+                    ATT = self.att_one if wtype != torch.uint8 else self.att_one_i8
+                    FFN = self.ffn_one if wtype != torch.uint8 else self.ffn_one_i8
+
+                x = x.to(dtype=atype, device=dev)
+
+                kw = w[f'{att}key.weight']
+                vw = w[f'{att}value.weight']
+                rw = w[f'{att}receptance.weight']
+                ow = w[f'{att}output.weight']
+                if dd.stream:
+                    kw = kw.to(device=dev, non_blocking=True)
+                    vw = vw.to(device=dev, non_blocking=True)
+                    rw = rw.to(device=dev, non_blocking=True)
+                    ow = ow.to(device=dev, non_blocking=True)
+                kmx = w[f'{att}key.weight_mx'] if wtype == torch.uint8 else x
+                krx = w[f'{att}key.weight_rx'] if wtype == torch.uint8 else x
+                kmy = w[f'{att}key.weight_my'] if wtype == torch.uint8 else x
+                kry = w[f'{att}key.weight_ry'] if wtype == torch.uint8 else x
+                vmx = w[f'{att}value.weight_mx'] if wtype == torch.uint8 else x
+                vrx = w[f'{att}value.weight_rx'] if wtype == torch.uint8 else x
+                vmy = w[f'{att}value.weight_my'] if wtype == torch.uint8 else x
+                vry = w[f'{att}value.weight_ry'] if wtype == torch.uint8 else x
+                rmx = w[f'{att}receptance.weight_mx'] if wtype == torch.uint8 else x
+                rrx = w[f'{att}receptance.weight_rx'] if wtype == torch.uint8 else x
+                rmy = w[f'{att}receptance.weight_my'] if wtype == torch.uint8 else x
+                rry = w[f'{att}receptance.weight_ry'] if wtype == torch.uint8 else x
+                omx = w[f'{att}output.weight_mx'] if wtype == torch.uint8 else x
+                orx = w[f'{att}output.weight_rx'] if wtype == torch.uint8 else x
+                omy = w[f'{att}output.weight_my'] if wtype == torch.uint8 else x
+                ory = w[f'{att}output.weight_ry'] if wtype == torch.uint8 else x
+                x, state[i*5+0], state[i*5+1], state[i*5+2], state[i*5+3] = ATT(
+                    x, state[i*5+0], state[i*5+1], state[i*5+2], state[i*5+3],
+                    w[f'{bbb}ln1.weight'], w[f'{bbb}ln1.bias'],
+                    w[f'{att}time_mix_k'], w[f'{att}time_mix_v'], w[f'{att}time_mix_r'],
+                    w[f'{att}time_decay'], w[f'{att}time_first'],
+                    kw, vw, rw, ow,
+                    kmx, krx, kmy, kry,
+                    vmx, vrx, vmy, vry,
+                    rmx, rrx, rmy, rry,
+                    omx, orx, omy, ory,
+                    )
+                if dd.stream:
+                    del kw, vw, rw, ow
+
+                kw = w[f'{ffn}key.weight']
+                vw = w[f'{ffn}value.weight']
+                rw = w[f'{ffn}receptance.weight']
+                if dd.stream:
+                    kw = kw.to(device=dev, non_blocking=True)
+                    vw = vw.to(device=dev, non_blocking=True)
+                    rw = rw.to(device=dev, non_blocking=True)
+                kmx = w[f'{ffn}key.weight_mx'] if wtype == torch.uint8 else x
+                krx = w[f'{ffn}key.weight_rx'] if wtype == torch.uint8 else x
+                kmy = w[f'{ffn}key.weight_my'] if wtype == torch.uint8 else x
+                kry = w[f'{ffn}key.weight_ry'] if wtype == torch.uint8 else x
+                vmx = w[f'{ffn}value.weight_mx'] if wtype == torch.uint8 else x
+                vrx = w[f'{ffn}value.weight_rx'] if wtype == torch.uint8 else x
+                vmy = w[f'{ffn}value.weight_my'] if wtype == torch.uint8 else x
+                vry = w[f'{ffn}value.weight_ry'] if wtype == torch.uint8 else x
+                rmx = w[f'{ffn}receptance.weight_mx'] if wtype == torch.uint8 else x
+                rrx = w[f'{ffn}receptance.weight_rx'] if wtype == torch.uint8 else x
+                rmy = w[f'{ffn}receptance.weight_my'] if wtype == torch.uint8 else x
+                rry = w[f'{ffn}receptance.weight_ry'] if wtype == torch.uint8 else x                    
+                x, state[i*5+4] = FFN(
+                    x, state[i*5+4],
+                    w[f'{bbb}ln2.weight'], w[f'{bbb}ln2.bias'],
+                    w[f'{ffn}time_mix_k'], w[f'{ffn}time_mix_r'],
+                    kw, vw, rw,
+                    kmx, krx, kmy, kry,
+                    vmx, vrx, vmy, vry,
+                    rmx, rrx, rmy, rry,                    
+                    )
+                if dd.stream:                
+                    del kw, vw, rw
+                
+                if self.RESCALE_LAYER > 0:
+                    if (i+1) % self.RESCALE_LAYER == 0:
+                        x = x / 2
+            
+            dd = self.strategy[args.n_layer]
+            x = x[-1,:] if (seq_mode and (not full_output)) else x
+            x = x.to(dtype=dd.atype, device=dd.device)
+            
+            x = F.layer_norm(x, (args.n_embd,), weight=w['ln_out.weight'], bias=w['ln_out.bias'])
+            if w['head.weight'].dtype != torch.uint8:
+                x = x @ w['head.weight']
+            else:
+                if seq_mode and full_output:
+                    x = self.mm8_seq(x, w['head.weight'], w['head.weight_mx'], w['head.weight_rx'], w['head.weight_my'], w['head.weight_ry'])
+                else:
+                    x = self.mm8_one(x, w['head.weight'], w['head.weight_mx'], w['head.weight_rx'], w['head.weight_my'], w['head.weight_ry'])
+
+            return x.float(), state

build/darwin/Info.dev.plist

@@ -8,7 +8,7 @@
         <key>CFBundleExecutable</key>
         <string>{{.Name}}</string>
         <key>CFBundleIdentifier</key>
-        <string>com.wails.{{.Name}}</string>
+        <string>dev.josStorer.RWKV-Runner</string>
         <key>CFBundleVersion</key>
         <string>{{.Info.ProductVersion}}</string>
         <key>CFBundleGetInfoString</key>

build/darwin/Info.plist

@@ -8,7 +8,7 @@
         <key>CFBundleExecutable</key>
         <string>{{.Name}}</string>
         <key>CFBundleIdentifier</key>
-        <string>com.wails.{{.Name}}</string>
+        <string>dev.josStorer.RWKV-Runner</string>
         <key>CFBundleVersion</key>
         <string>{{.Info.ProductVersion}}</string>
         <key>CFBundleGetInfoString</key>

build/darwin/Readme_Install.txt

@@ -0,0 +1,13 @@
+For Mac and Linux users, please manually install Python 3.10 (usually the latest systems come with it built-in). You can specify the Python interpreter to use in Settings.
+对于Mac和Linux用户，请手动安装 Python3.10 (通常最新的系统已经内置了). 你可以在设置中指定使用的Python解释器.
+MacおよびLinuxのユーザーの方は、Python3.10を手動でインストールしてください（通常、最新のシステムには既に組み込まれています）。 設定メニューで使用するPythonインタプリタを指定することができます。
+
+Please execute this program in an empty directory. All related dependencies will be placed in this directory.
+请将本程序放在一个空目录内执行, 所有相关依赖均会放置于此目录.
+このプログラムを空のディレクトリで実行してください。関連するすべての依存関係は、このディレクトリに配置されます。
+
+Please execute the following command in the terminal to remove the permission restrictions of this app, and then this program can work properly:
+请在终端执行以下命令解除本app的权限限制, 然后本程序才可以正常工作:
+このアプリの権限制限を解除するために、ターミナルで以下のコマンドを実行してください。その後、このプログラムは正常に動作するようになります:
+
+sudo xattr -r -d com.apple.quarantine ./RWKV-Runner.app

build/darwin/entitlements.plist

@@ -0,0 +1,16 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
+<plist version="1.0">
+<dict>
+  <key>com.apple.security.app-sandbox</key>
+  <false/>
+  <key>com.apple.security.network.client</key>
+  <true/>
+  <key>com.apple.security.network.server</key>
+  <true/>
+  <key>com.apple.security.files.user-selected.read-write</key>
+  <true/>
+  <key>com.apple.security.files.downloads.read-write</key>
+  <true/>
+</dict>
+</plist>

build/darwin/gon-sign.json

@@ -0,0 +1,17 @@
+{
+    "source": [
+        "./build/bin/RWKV-Runner_darwin.app"
+    ],
+    "bundle_id": "dev.josStorer.RWKV-Runner",
+    "apple_id": {
+        "username": "joshua1466587594@outlook.com",
+        "password": ""
+    },
+    "sign": {
+        "application_identity": "D00A983569B4EAA2A008B963254F385F42A493FD",
+        "entitlements_file": "./build/darwin/entitlements.plist"
+    },
+    "zip": {
+        "output_path": "./build/bin/RWKV-Runner_darwin.archive.zip"
+    }
+}

build/linux/Readme_Install.txt

@@ -0,0 +1,19 @@
+For Mac and Linux users, please manually install Python 3.10 (usually the latest systems come with it built-in). You can specify the Python interpreter to use in Settings.
+对于Mac和Linux用户，请手动安装 Python3.10 (通常最新的系统已经内置了). 你可以在设置中指定使用的Python解释器.
+MacおよびLinuxのユーザーの方は、Python3.10を手動でインストールしてください（通常、最新のシステムには既に組み込まれています）。 設定メニューで使用するPythonインタプリタを指定することができます。
+
+Please execute this program in an empty directory. All related dependencies will be placed in this directory.
+请将本程序放在一个空目录内执行, 所有相关依赖均会放置于此目录.
+このプログラムを空のディレクトリで実行してください。関連するすべての依存関係は、このディレクトリに配置されます。
+
+On Linux system, this program cannot invoke the terminal for automatic dependency installation. You must manually execute the following commands for installation so that it can be used normally:
+在Linux系统下, 本程序无法调用终端自动安装依赖, 你必须手动执行以下命令进行安装, 之后方可正常使用:
+Linuxシステムでは、このプログラムはターミナルを自動的に呼び出して依存関係をインストールすることができません。以下のコマンドを手動で実行する必要があります。それが完了した後に、正常に使用することができます:
+
+sudo apt install python3-dev
+chmod +x ./RWKV-Runner
+./RWKV-Runner
+cd backend-python
+pip3 install -r requirements.txt # or pip3 install -r requirements_without_cyac.txt
+
+# See More: https://github.com/josStorer/RWKV-Runner/tree/master/deploy-examples

build/windows/Readme_Install.txt

@@ -0,0 +1,3 @@
+Please execute this program in an empty directory. All related dependencies will be placed in this directory.
+请将本程序放在一个空目录内执行, 所有相关依赖均会放置于此目录.
+このプログラムを空のディレクトリで実行してください。関連するすべての依存関係は、このディレクトリに配置されます。

deploy-examples/ChatGPT-Next-Web/setup.bat

@@ -0,0 +1,24 @@
+: install git python3.10 yarn by yourself
+: change model and strategy according to your hardware
+
+mkdir RWKV-Next-Web
+cd RWKV-Next-Web
+
+git clone https://github.com/josStorer/RWKV-Runner --depth=1
+python -m pip install torch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 --index-url https://download.pytorch.org/whl/cu117
+python -m pip install -r RWKV-Runner/backend-python/requirements.txt
+start python ./RWKV-Runner/backend-python/main.py
+
+powershell -Command "(Test-Path ./RWKV-Runner/models) -or (mkdir RWKV-Runner/models)"
+powershell -Command "Import-Module BitsTransfer"
+powershell -Command "(Test-Path ./RWKV-Runner/models/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth) -or (Start-BitsTransfer https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth ./RWKV-Runner/models/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth)"
+powershell -Command "Invoke-WebRequest http://127.0.0.1:8000/switch-model -Method POST -ContentType 'application/json' -Body '{\"model\":\"./RWKV-Runner/models/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth\",\"strategy\":\"cuda fp32 *20+\"}'"
+
+git clone https://github.com/Yidadaa/ChatGPT-Next-Web --depth=1
+cd ChatGPT-Next-Web
+call yarn install
+call yarn build
+set PROXY_URL=""
+set BASE_URL=http://127.0.0.1:8000
+start "C:\Program Files (x86)\Microsoft\Edge\Application\msedge.exe" "http://127.0.0.1:3000"
+yarn start

deploy-examples/ChatGPT-Next-Web/setup.sh

@@ -0,0 +1,27 @@
+# install git python3.10 yarn by yourself
+# change model and strategy according to your hardware
+
+sudo apt install python3-dev
+
+mkdir RWKV-Next-Web
+cd RWKV-Next-Web
+
+git clone https://github.com/josStorer/RWKV-Runner --depth=1
+python3 -m pip install torch torchvision torchaudio
+python3 -m pip install -r RWKV-Runner/backend-python/requirements.txt
+python3 ./RWKV-Runner/backend-python/main.py > log.txt &
+
+if [ ! -d RWKV-Runner/models ]; then
+    mkdir RWKV-Runner/models
+fi
+wget -N https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-0.1B-v1-20230520-ctx4096.pth -P RWKV-Runner/models/
+
+git clone https://github.com/Yidadaa/ChatGPT-Next-Web --depth=1
+cd ChatGPT-Next-Web
+yarn install
+yarn build
+export PROXY_URL=""
+export BASE_URL=http://127.0.0.1:8000
+yarn start &
+
+curl http://127.0.0.1:8000/switch-model -X POST -H "Content-Type: application/json" -d '{"model":"./RWKV-Runner/models/RWKV-4-World-0.1B-v1-20230520-ctx4096.pth","strategy":"cpu fp32"}'

frontend/package-lock.json

@@ -18,6 +18,7 @@
         "mobx": "^6.9.0",
         "mobx-react-lite": "^3.4.3",
         "react": "^18.2.0",
+        "react-beautiful-dnd": "^13.1.1",
         "react-dom": "^18.2.0",
         "react-i18next": "^12.2.2",
         "react-markdown": "^8.0.7",
@@ -33,6 +34,7 @@
       },
       "devDependencies": {
         "@types/react": "^18.2.6",
+        "@types/react-beautiful-dnd": "^13.1.4",
         "@types/react-dom": "^18.2.4",
         "@types/uuid": "^9.0.1",
         "@vitejs/plugin-react": "^4.0.0",
@@ -56,7 +58,7 @@
     },
     "node_modules/@ampproject/remapping": {
       "version": "2.2.1",
-      "resolved": "https://registry.npmmirror.com/@ampproject/remapping/-/remapping-2.2.1.tgz",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz",
       "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==",
       "dev": true,
       "dependencies": {
@@ -68,42 +70,42 @@
       }
     },
     "node_modules/@babel/code-frame": {
-      "version": "7.21.4",
-      "resolved": "https://registry.npmmirror.com/@babel/code-frame/-/code-frame-7.21.4.tgz",
-      "integrity": "sha512-LYvhNKfwWSPpocw8GI7gpK2nq3HSDuEPC/uSYaALSJu9xjsalaaYFOq0Pwt5KmVqwEbZlDu81aLXwBOmD/Fv9g==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.5.tgz",
+      "integrity": "sha512-Xmwn266vad+6DAqEB2A6V/CcZVp62BbwVmcOJc2RPuwih1kw02TjQvWVWlcKGbBPd+8/0V5DEkOcizRGYsspYQ==",
       "dev": true,
       "dependencies": {
-        "@babel/highlight": "^7.18.6"
+        "@babel/highlight": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/compat-data": {
-      "version": "7.21.7",
-      "resolved": "https://registry.npmmirror.com/@babel/compat-data/-/compat-data-7.21.7.tgz",
-      "integrity": "sha512-KYMqFYTaenzMK4yUtf4EW9wc4N9ef80FsbMtkwool5zpwl4YrT1SdWYSTRcT94KO4hannogdS+LxY7L+arP3gA==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.22.5.tgz",
+      "integrity": "sha512-4Jc/YuIaYqKnDDz892kPIledykKg12Aw1PYX5i/TY28anJtacvM1Rrr8wbieB9GfEJwlzqT0hUEao0CxEebiDA==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/core": {
-      "version": "7.21.8",
-      "resolved": "https://registry.npmmirror.com/@babel/core/-/core-7.21.8.tgz",
-      "integrity": "sha512-YeM22Sondbo523Sz0+CirSPnbj9bG3P0CdHcBZdqUuaeOaYEFbOLoGU7lebvGP6P5J/WE9wOn7u7C4J9HvS1xQ==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.22.5.tgz",
+      "integrity": "sha512-SBuTAjg91A3eKOvD+bPEz3LlhHZRNu1nFOVts9lzDJTXshHTjII0BAtDS3Y2DAkdZdDKWVZGVwkDfc4Clxn1dg==",
       "dev": true,
       "dependencies": {
         "@ampproject/remapping": "^2.2.0",
-        "@babel/code-frame": "^7.21.4",
-        "@babel/generator": "^7.21.5",
-        "@babel/helper-compilation-targets": "^7.21.5",
-        "@babel/helper-module-transforms": "^7.21.5",
-        "@babel/helpers": "^7.21.5",
-        "@babel/parser": "^7.21.8",
-        "@babel/template": "^7.20.7",
-        "@babel/traverse": "^7.21.5",
-        "@babel/types": "^7.21.5",
+        "@babel/code-frame": "^7.22.5",
+        "@babel/generator": "^7.22.5",
+        "@babel/helper-compilation-targets": "^7.22.5",
+        "@babel/helper-module-transforms": "^7.22.5",
+        "@babel/helpers": "^7.22.5",
+        "@babel/parser": "^7.22.5",
+        "@babel/template": "^7.22.5",
+        "@babel/traverse": "^7.22.5",
+        "@babel/types": "^7.22.5",
         "convert-source-map": "^1.7.0",
         "debug": "^4.1.0",
         "gensync": "^1.0.0-beta.2",
@@ -112,15 +114,19 @@
       },
       "engines": {
         "node": ">=6.9.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/babel"
       }
     },
     "node_modules/@babel/generator": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/generator/-/generator-7.21.5.tgz",
-      "integrity": "sha512-SrKK/sRv8GesIW1bDagf9cCG38IOMYZusoe1dfg0D8aiUe3Amvoj1QtjTPAWcfrZFvIwlleLb0gxzQidL9w14w==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.22.5.tgz",
+      "integrity": "sha512-+lcUbnTRhd0jOewtFSedLyiPsD5tswKkbgcezOqqWFUVNEwoUTlpPOBmvhG7OXWLR4jMdv0czPGH5XbflnD1EA==",
       "dev": true,
       "dependencies": {
-        "@babel/types": "^7.21.5",
+        "@babel/types": "^7.22.5",
         "@jridgewell/gen-mapping": "^0.3.2",
         "@jridgewell/trace-mapping": "^0.3.17",
         "jsesc": "^2.5.1"
@@ -130,13 +136,13 @@
       }
     },
     "node_modules/@babel/helper-compilation-targets": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-compilation-targets/-/helper-compilation-targets-7.21.5.tgz",
-      "integrity": "sha512-1RkbFGUKex4lvsB9yhIfWltJM5cZKUftB2eNajaDv3dCMEp49iBG0K14uH8NnX9IPux2+mK7JGEOB0jn48/J6w==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.22.5.tgz",
+      "integrity": "sha512-Ji+ywpHeuqxB8WDxraCiqR0xfhYjiDE/e6k7FuIaANnoOFxAHskHChz4vA1mJC9Lbm01s1PVAGhQY4FUKSkGZw==",
       "dev": true,
       "dependencies": {
-        "@babel/compat-data": "^7.21.5",
-        "@babel/helper-validator-option": "^7.21.0",
+        "@babel/compat-data": "^7.22.5",
+        "@babel/helper-validator-option": "^7.22.5",
         "browserslist": "^4.21.3",
         "lru-cache": "^5.1.1",
         "semver": "^6.3.0"
@@ -149,151 +155,151 @@
       }
     },
     "node_modules/@babel/helper-environment-visitor": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-environment-visitor/-/helper-environment-visitor-7.21.5.tgz",
-      "integrity": "sha512-IYl4gZ3ETsWocUWgsFZLM5i1BYx9SoemminVEXadgLBa9TdeorzgLKm8wWLA6J1N/kT3Kch8XIk1laNzYoHKvQ==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.22.5.tgz",
+      "integrity": "sha512-XGmhECfVA/5sAt+H+xpSg0mfrHq6FzNr9Oxh7PSEBBRUb/mL7Kz3NICXb194rCqAEdxkhPT1a88teizAFyvk8Q==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-function-name": {
-      "version": "7.21.0",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-function-name/-/helper-function-name-7.21.0.tgz",
-      "integrity": "sha512-HfK1aMRanKHpxemaY2gqBmL04iAPOPRj7DxtNbiDOrJK+gdwkiNRVpCpUJYbUT+aZyemKN8brqTOxzCaG6ExRg==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.22.5.tgz",
+      "integrity": "sha512-wtHSq6jMRE3uF2otvfuD3DIvVhOsSNshQl0Qrd7qC9oQJzHvOL4qQXlQn2916+CXGywIjpGuIkoyZRRxHPiNQQ==",
       "dev": true,
       "dependencies": {
-        "@babel/template": "^7.20.7",
-        "@babel/types": "^7.21.0"
+        "@babel/template": "^7.22.5",
+        "@babel/types": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-hoist-variables": {
-      "version": "7.18.6",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-hoist-variables/-/helper-hoist-variables-7.18.6.tgz",
-      "integrity": "sha512-UlJQPkFqFULIcyW5sbzgbkxn2FKRgwWiRexcuaR8RNJRy8+LLveqPjwZV/bwrLZCN0eUHD/x8D0heK1ozuoo6Q==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.22.5.tgz",
+      "integrity": "sha512-wGjk9QZVzvknA6yKIUURb8zY3grXCcOZt+/7Wcy8O2uctxhplmUPkOdlgoNhmdVee2c92JXbf1xpMtVNbfoxRw==",
       "dev": true,
       "dependencies": {
-        "@babel/types": "^7.18.6"
+        "@babel/types": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-module-imports": {
-      "version": "7.21.4",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-module-imports/-/helper-module-imports-7.21.4.tgz",
-      "integrity": "sha512-orajc5T2PsRYUN3ZryCEFeMDYwyw09c/pZeaQEZPH0MpKzSvn3e0uXsDBu3k03VI+9DBiRo+l22BfKTpKwa/Wg==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.22.5.tgz",
+      "integrity": "sha512-8Dl6+HD/cKifutF5qGd/8ZJi84QeAKh+CEe1sBzz8UayBBGg1dAIJrdHOcOM5b2MpzWL2yuotJTtGjETq0qjXg==",
       "dev": true,
       "dependencies": {
-        "@babel/types": "^7.21.4"
+        "@babel/types": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-module-transforms": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-module-transforms/-/helper-module-transforms-7.21.5.tgz",
-      "integrity": "sha512-bI2Z9zBGY2q5yMHoBvJ2a9iX3ZOAzJPm7Q8Yz6YeoUjU/Cvhmi2G4QyTNyPBqqXSgTjUxRg3L0xV45HvkNWWBw==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.22.5.tgz",
+      "integrity": "sha512-+hGKDt/Ze8GFExiVHno/2dvG5IdstpzCq0y4Qc9OJ25D4q3pKfiIP/4Vp3/JvhDkLKsDK2api3q3fpIgiIF5bw==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-environment-visitor": "^7.21.5",
-        "@babel/helper-module-imports": "^7.21.4",
-        "@babel/helper-simple-access": "^7.21.5",
-        "@babel/helper-split-export-declaration": "^7.18.6",
-        "@babel/helper-validator-identifier": "^7.19.1",
-        "@babel/template": "^7.20.7",
-        "@babel/traverse": "^7.21.5",
-        "@babel/types": "^7.21.5"
+        "@babel/helper-environment-visitor": "^7.22.5",
+        "@babel/helper-module-imports": "^7.22.5",
+        "@babel/helper-simple-access": "^7.22.5",
+        "@babel/helper-split-export-declaration": "^7.22.5",
+        "@babel/helper-validator-identifier": "^7.22.5",
+        "@babel/template": "^7.22.5",
+        "@babel/traverse": "^7.22.5",
+        "@babel/types": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-plugin-utils": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-plugin-utils/-/helper-plugin-utils-7.21.5.tgz",
-      "integrity": "sha512-0WDaIlXKOX/3KfBK/dwP1oQGiPh6rjMkT7HIRv7i5RR2VUMwrx5ZL0dwBkKx7+SW1zwNdgjHd34IMk5ZjTeHVg==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.22.5.tgz",
+      "integrity": "sha512-uLls06UVKgFG9QD4OeFYLEGteMIAa5kpTPcFL28yuCIIzsf6ZyKZMllKVOCZFhiZ5ptnwX4mtKdWCBE/uT4amg==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-simple-access": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-simple-access/-/helper-simple-access-7.21.5.tgz",
-      "integrity": "sha512-ENPDAMC1wAjR0uaCUwliBdiSl1KBJAVnMTzXqi64c2MG8MPR6ii4qf7bSXDqSFbr4W6W028/rf5ivoHop5/mkg==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.22.5.tgz",
+      "integrity": "sha512-n0H99E/K+Bika3++WNL17POvo4rKWZ7lZEp1Q+fStVbUi8nxPQEBOlTmCOxW/0JsS56SKKQ+ojAe2pHKJHN35w==",
       "dev": true,
       "dependencies": {
-        "@babel/types": "^7.21.5"
+        "@babel/types": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-split-export-declaration": {
-      "version": "7.18.6",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.18.6.tgz",
-      "integrity": "sha512-bde1etTx6ZyTmobl9LLMMQsaizFVZrquTEHOqKeQESMKo4PlObf+8+JA25ZsIpZhT/WEd39+vOdLXAFG/nELpA==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.22.5.tgz",
+      "integrity": "sha512-thqK5QFghPKWLhAV321lxF95yCg2K3Ob5yw+M3VHWfdia0IkPXUtoLH8x/6Fh486QUvzhb8YOWHChTVen2/PoQ==",
       "dev": true,
       "dependencies": {
-        "@babel/types": "^7.18.6"
+        "@babel/types": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-string-parser": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-string-parser/-/helper-string-parser-7.21.5.tgz",
-      "integrity": "sha512-5pTUx3hAJaZIdW99sJ6ZUUgWq/Y+Hja7TowEnLNMm1VivRgZQL3vpBY3qUACVsvw+yQU6+YgfBVmcbLaZtrA1w==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.22.5.tgz",
+      "integrity": "sha512-mM4COjgZox8U+JcXQwPijIZLElkgEpO5rsERVDJTc2qfCDfERyob6k5WegS14SX18IIjv+XD+GrqNumY5JRCDw==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.19.1",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.19.1.tgz",
-      "integrity": "sha512-awrNfaMtnHUr653GgGEs++LlAvW6w+DcPrOliSMXWCKo597CwL5Acf/wWdNkf/tfEQE3mjkeD1YOVZOUV/od1w==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.5.tgz",
+      "integrity": "sha512-aJXu+6lErq8ltp+JhkJUfk1MTGyuA4v7f3pA+BJ5HLfNC6nAQ0Cpi9uOquUj8Hehg0aUiHzWQbOVJGao6ztBAQ==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helper-validator-option": {
-      "version": "7.21.0",
-      "resolved": "https://registry.npmmirror.com/@babel/helper-validator-option/-/helper-validator-option-7.21.0.tgz",
-      "integrity": "sha512-rmL/B8/f0mKS2baE9ZpyTcTavvEuWhTTW8amjzXNvYG4AwBsqTLikfXsEofsJEfKHf+HQVQbFOHy6o+4cnC/fQ==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.22.5.tgz",
+      "integrity": "sha512-R3oB6xlIVKUnxNUxbmgq7pKjxpru24zlimpE8WK47fACIlM0II/Hm1RS8IaOI7NgCr6LNS+jl5l75m20npAziw==",
       "dev": true,
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/helpers": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/helpers/-/helpers-7.21.5.tgz",
-      "integrity": "sha512-BSY+JSlHxOmGsPTydUkPf1MdMQ3M81x5xGCOVgWM3G8XH77sJ292Y2oqcp0CbbgxhqBuI46iUz1tT7hqP7EfgA==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.22.5.tgz",
+      "integrity": "sha512-pSXRmfE1vzcUIDFQcSGA5Mr+GxBV9oiRKDuDxXvWQQBCh8HoIjs/2DlDB7H8smac1IVrB9/xdXj2N3Wol9Cr+Q==",
       "dev": true,
       "dependencies": {
-        "@babel/template": "^7.20.7",
-        "@babel/traverse": "^7.21.5",
-        "@babel/types": "^7.21.5"
+        "@babel/template": "^7.22.5",
+        "@babel/traverse": "^7.22.5",
+        "@babel/types": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/highlight": {
-      "version": "7.18.6",
-      "resolved": "https://registry.npmmirror.com/@babel/highlight/-/highlight-7.18.6.tgz",
-      "integrity": "sha512-u7stbOuYjaPezCuLj29hNW1v64M2Md2qupEKP1fHc7WdOA3DgLh37suiSrZYY7haUB7iBeQZ9P1uiRF359do3g==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/highlight/-/highlight-7.22.5.tgz",
+      "integrity": "sha512-BSKlD1hgnedS5XRnGOljZawtag7H1yPfQp0tdNJCHoH6AZ+Pcm9VvkrK59/Yy593Ypg0zMxH2BxD1VPYUQ7UIw==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-validator-identifier": "^7.18.6",
+        "@babel/helper-validator-identifier": "^7.22.5",
         "chalk": "^2.0.0",
         "js-tokens": "^4.0.0"
       },
@@ -302,9 +308,9 @@
       }
     },
     "node_modules/@babel/parser": {
-      "version": "7.21.8",
-      "resolved": "https://registry.npmmirror.com/@babel/parser/-/parser-7.21.8.tgz",
-      "integrity": "sha512-6zavDGdzG3gUqAdWvlLFfk+36RilI+Pwyuuh7HItyeScCWP3k6i8vKclAQ0bM/0y/Kz/xiwvxhMv9MgTJP5gmA==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.22.5.tgz",
+      "integrity": "sha512-DFZMC9LJUG9PLOclRC32G63UXwzqS2koQC8dkx+PLdmt1xSePYpbT/NbsrJy8Q/muXz7o/h/d4A7Fuyixm559Q==",
       "dev": true,
       "bin": {
         "parser": "bin/babel-parser.js"
@@ -314,12 +320,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-react-jsx-self": {
-      "version": "7.21.0",
-      "resolved": "https://registry.npmmirror.com/@babel/plugin-transform-react-jsx-self/-/plugin-transform-react-jsx-self-7.21.0.tgz",
-      "integrity": "sha512-f/Eq+79JEu+KUANFks9UZCcvydOOGMgF7jBrcwjHa5jTZD8JivnhCJYvmlhR/WTXBWonDExPoW0eO/CR4QJirA==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-jsx-self/-/plugin-transform-react-jsx-self-7.22.5.tgz",
+      "integrity": "sha512-nTh2ogNUtxbiSbxaT4Ds6aXnXEipHweN9YRgOX/oNXdf0cCrGn/+2LozFa3lnPV5D90MkjhgckCPBrsoSc1a7g==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.20.2"
+        "@babel/helper-plugin-utils": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -329,12 +335,12 @@
       }
     },
     "node_modules/@babel/plugin-transform-react-jsx-source": {
-      "version": "7.19.6",
-      "resolved": "https://registry.npmmirror.com/@babel/plugin-transform-react-jsx-source/-/plugin-transform-react-jsx-source-7.19.6.tgz",
-      "integrity": "sha512-RpAi004QyMNisst/pvSanoRdJ4q+jMCWyk9zdw/CyLB9j8RXEahodR6l2GyttDRyEVWZtbN+TpLiHJ3t34LbsQ==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/plugin-transform-react-jsx-source/-/plugin-transform-react-jsx-source-7.22.5.tgz",
+      "integrity": "sha512-yIiRO6yobeEIaI0RTbIr8iAK9FcBHLtZq0S89ZPjDLQXBA4xvghaKqI0etp/tF3htTM0sazJKKLz9oEiGRtu7w==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-plugin-utils": "^7.19.0"
+        "@babel/helper-plugin-utils": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
@@ -355,33 +361,33 @@
       }
     },
     "node_modules/@babel/template": {
-      "version": "7.20.7",
-      "resolved": "https://registry.npmmirror.com/@babel/template/-/template-7.20.7.tgz",
-      "integrity": "sha512-8SegXApWe6VoNw0r9JHpSteLKTpTiLZ4rMlGIm9JQ18KiCtyQiAMEazujAHrUS5flrcqYZa75ukev3P6QmUwUw==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.22.5.tgz",
+      "integrity": "sha512-X7yV7eiwAxdj9k94NEylvbVHLiVG1nvzCV2EAowhxLTwODV1jl9UzZ48leOC0sH7OnuHrIkllaBgneUykIcZaw==",
       "dev": true,
       "dependencies": {
-        "@babel/code-frame": "^7.18.6",
-        "@babel/parser": "^7.20.7",
-        "@babel/types": "^7.20.7"
+        "@babel/code-frame": "^7.22.5",
+        "@babel/parser": "^7.22.5",
+        "@babel/types": "^7.22.5"
       },
       "engines": {
         "node": ">=6.9.0"
       }
     },
     "node_modules/@babel/traverse": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/traverse/-/traverse-7.21.5.tgz",
-      "integrity": "sha512-AhQoI3YjWi6u/y/ntv7k48mcrCXmus0t79J9qPNlk/lAsFlCiJ047RmbfMOawySTHtywXhbXgpx/8nXMYd+oFw==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/traverse/-/traverse-7.22.5.tgz",
+      "integrity": "sha512-7DuIjPgERaNo6r+PZwItpjCZEa5vyw4eJGufeLxrPdBXBoLcCJCIasvK6pK/9DVNrLZTLFhUGqaC6X/PA007TQ==",
       "dev": true,
       "dependencies": {
-        "@babel/code-frame": "^7.21.4",
-        "@babel/generator": "^7.21.5",
-        "@babel/helper-environment-visitor": "^7.21.5",
-        "@babel/helper-function-name": "^7.21.0",
-        "@babel/helper-hoist-variables": "^7.18.6",
-        "@babel/helper-split-export-declaration": "^7.18.6",
-        "@babel/parser": "^7.21.5",
-        "@babel/types": "^7.21.5",
+        "@babel/code-frame": "^7.22.5",
+        "@babel/generator": "^7.22.5",
+        "@babel/helper-environment-visitor": "^7.22.5",
+        "@babel/helper-function-name": "^7.22.5",
+        "@babel/helper-hoist-variables": "^7.22.5",
+        "@babel/helper-split-export-declaration": "^7.22.5",
+        "@babel/parser": "^7.22.5",
+        "@babel/types": "^7.22.5",
         "debug": "^4.1.0",
         "globals": "^11.1.0"
       },
@@ -390,13 +396,13 @@
       }
     },
     "node_modules/@babel/types": {
-      "version": "7.21.5",
-      "resolved": "https://registry.npmmirror.com/@babel/types/-/types-7.21.5.tgz",
-      "integrity": "sha512-m4AfNvVF2mVC/F7fDEdH2El3HzUg9It/XsCxZiOTTA3m3qYfcSVSbTfM6Q9xG+hYDniZssYhlXKKUMD5m8tF4Q==",
+      "version": "7.22.5",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.22.5.tgz",
+      "integrity": "sha512-zo3MIHGOkPOfoRXitsgHLjEXmlDaD/5KU1Uzuc9GNiZPhSqVxVRtxuPaSBZDsYZ9qV88AjtMtWW7ww98loJ9KA==",
       "dev": true,
       "dependencies": {
-        "@babel/helper-string-parser": "^7.21.5",
-        "@babel/helper-validator-identifier": "^7.19.1",
+        "@babel/helper-string-parser": "^7.22.5",
+        "@babel/helper-validator-identifier": "^7.22.5",
         "to-fast-properties": "^2.0.0"
       },
       "engines": {
@@ -1980,6 +1986,15 @@
         "@types/unist": "*"
       }
     },
+    "node_modules/@types/hoist-non-react-statics": {
+      "version": "3.3.1",
+      "resolved": "https://registry.npmjs.org/@types/hoist-non-react-statics/-/hoist-non-react-statics-3.3.1.tgz",
+      "integrity": "sha512-iMIqiko6ooLrTh1joXodJK5X9xeEALT1kM5G3ZLhD3hszxBdIEd5C75U834D9mLcINgD4OyZf5uQXjkuYydWvA==",
+      "dependencies": {
+        "@types/react": "*",
+        "hoist-non-react-statics": "^3.3.0"
+      }
+    },
     "node_modules/@types/mdast": {
       "version": "3.0.11",
       "resolved": "https://registry.npmmirror.com/@types/mdast/-/mdast-3.0.11.tgz",
@@ -2013,6 +2028,15 @@
         "csstype": "^3.0.2"
       }
     },
+    "node_modules/@types/react-beautiful-dnd": {
+      "version": "13.1.4",
+      "resolved": "https://registry.npmjs.org/@types/react-beautiful-dnd/-/react-beautiful-dnd-13.1.4.tgz",
+      "integrity": "sha512-4bIBdzOr0aavN+88q3C7Pgz+xkb7tz3whORYrmSj77wfVEMfiWiooIwVWFR7KM2e+uGTe5BVrXqSfb0aHeflJA==",
+      "dev": true,
+      "dependencies": {
+        "@types/react": "*"
+      }
+    },
     "node_modules/@types/react-dom": {
       "version": "18.2.4",
       "resolved": "https://registry.npmmirror.com/@types/react-dom/-/react-dom-18.2.4.tgz",
@@ -2021,6 +2045,17 @@
         "@types/react": "*"
       }
     },
+    "node_modules/@types/react-redux": {
+      "version": "7.1.25",
+      "resolved": "https://registry.npmjs.org/@types/react-redux/-/react-redux-7.1.25.tgz",
+      "integrity": "sha512-bAGh4e+w5D8dajd6InASVIyCo4pZLJ66oLb80F9OBLO1gKESbZcRCJpTT6uLXX+HAB57zw1WTdwJdAsewuTweg==",
+      "dependencies": {
+        "@types/hoist-non-react-statics": "^3.3.0",
+        "@types/react": "*",
+        "hoist-non-react-statics": "^3.3.0",
+        "redux": "^4.0.0"
+      }
+    },
     "node_modules/@types/scheduler": {
       "version": "0.16.3",
       "resolved": "https://registry.npmmirror.com/@types/scheduler/-/scheduler-0.16.3.tgz",
@@ -2038,14 +2073,14 @@
       "dev": true
     },
     "node_modules/@vitejs/plugin-react": {
-      "version": "4.0.0",
-      "resolved": "https://registry.npmmirror.com/@vitejs/plugin-react/-/plugin-react-4.0.0.tgz",
-      "integrity": "sha512-HX0XzMjL3hhOYm+0s95pb0Z7F8O81G7joUHgfDd/9J/ZZf5k4xX6QAMFkKsHFxaHlf6X7GD7+XuaZ66ULiJuhQ==",
+      "version": "4.0.1",
+      "resolved": "https://registry.npmjs.org/@vitejs/plugin-react/-/plugin-react-4.0.1.tgz",
+      "integrity": "sha512-g25lL98essfeSj43HJ0o4DMp0325XK0ITkxpgChzJU/CyemgyChtlxfnRbjfwxDGCTRxTiXtQAsdebQXKMRSOA==",
       "dev": true,
       "dependencies": {
-        "@babel/core": "^7.21.4",
-        "@babel/plugin-transform-react-jsx-self": "^7.21.0",
-        "@babel/plugin-transform-react-jsx-source": "^7.19.6",
+        "@babel/core": "^7.22.5",
+        "@babel/plugin-transform-react-jsx-self": "^7.22.5",
+        "@babel/plugin-transform-react-jsx-source": "^7.22.5",
         "react-refresh": "^0.14.0"
       },
       "engines": {
@@ -2066,7 +2101,7 @@
     },
     "node_modules/ansi-styles": {
       "version": "3.2.1",
-      "resolved": "https://registry.npmmirror.com/ansi-styles/-/ansi-styles-3.2.1.tgz",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-3.2.1.tgz",
       "integrity": "sha512-VT0ZI6kZRdTh8YyJw3SMbYm/u+NqfsAxEpWO0Pf9sq8/e94WxxOpPKx9FR1FlyCtOVDNOQ+8ntlqFxiRc+r5qA==",
       "dev": true,
       "dependencies": {
@@ -2206,7 +2241,7 @@
     },
     "node_modules/chalk": {
       "version": "2.4.2",
-      "resolved": "https://registry.npmmirror.com/chalk/-/chalk-2.4.2.tgz",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-2.4.2.tgz",
       "integrity": "sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==",
       "dev": true,
       "dependencies": {
@@ -2285,7 +2320,7 @@
     },
     "node_modules/color-convert": {
       "version": "1.9.3",
-      "resolved": "https://registry.npmmirror.com/color-convert/-/color-convert-1.9.3.tgz",
+      "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-1.9.3.tgz",
       "integrity": "sha512-QfAUtd+vFdAtFQcC8CCyYt1fYWxSqAiK2cSD6zDB8N3cpsEBAvRxp9zOGg6G/SHHJYAT88/az/IuDGALsNVbGg==",
       "dev": true,
       "dependencies": {
@@ -2294,7 +2329,7 @@
     },
     "node_modules/color-name": {
       "version": "1.1.3",
-      "resolved": "https://registry.npmmirror.com/color-name/-/color-name-1.1.3.tgz",
+      "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.3.tgz",
       "integrity": "sha512-72fSenhMw2HZMTVHeCA9KCmpEIbzWiQsjN+BHcBbS9vr1mtt+vJjPdksIBNUmKAW8TFUDPJK5SUU3QhE9NEXDw==",
       "dev": true
     },
@@ -2320,10 +2355,18 @@
     },
     "node_modules/convert-source-map": {
       "version": "1.9.0",
-      "resolved": "https://registry.npmmirror.com/convert-source-map/-/convert-source-map-1.9.0.tgz",
+      "resolved": "https://registry.npmjs.org/convert-source-map/-/convert-source-map-1.9.0.tgz",
       "integrity": "sha512-ASFBup0Mz1uyiIjANan1jzLQami9z1PoYSZCiiYW2FczPbenXc45FZdBZLzOT+r6+iciuEModtmCti+hjaAk0A==",
       "dev": true
     },
+    "node_modules/css-box-model": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/css-box-model/-/css-box-model-1.2.1.tgz",
+      "integrity": "sha512-a7Vr4Q/kd/aw96bnJG332W9V9LkJO69JRcaCYDUqjp6/z0w6VcZjgAcTbgFxEPfBgdnAwlh3iwu+hLopa+flJw==",
+      "dependencies": {
+        "tiny-invariant": "^1.0.6"
+      }
+    },
     "node_modules/cssesc": {
       "version": "3.0.0",
       "resolved": "https://registry.npmmirror.com/cssesc/-/cssesc-3.0.0.tgz",
@@ -2462,7 +2505,7 @@
     },
     "node_modules/escape-string-regexp": {
       "version": "1.0.5",
-      "resolved": "https://registry.npmmirror.com/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
+      "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-1.0.5.tgz",
       "integrity": "sha512-vbRorB5FUQWvla16U8R/qgaFIya2qGzwDrNmCZuYKrbdSUMG6I1ZCGQRefkRVhuOkIGVne7BQ35DSfo1qvJqFg==",
       "dev": true,
       "engines": {
@@ -2576,7 +2619,7 @@
     },
     "node_modules/gensync": {
       "version": "1.0.0-beta.2",
-      "resolved": "https://registry.npmmirror.com/gensync/-/gensync-1.0.0-beta.2.tgz",
+      "resolved": "https://registry.npmjs.org/gensync/-/gensync-1.0.0-beta.2.tgz",
       "integrity": "sha512-3hN7NaskYvMDLQY55gnW3NQ+mesEAepTqlg+VEbj7zzqEMBVNhzcGYYeqFo/TlYz6eQiFcp1HcsCZO+nGgS8zg==",
       "dev": true,
       "engines": {
@@ -2628,7 +2671,7 @@
     },
     "node_modules/globals": {
       "version": "11.12.0",
-      "resolved": "https://registry.npmmirror.com/globals/-/globals-11.12.0.tgz",
+      "resolved": "https://registry.npmjs.org/globals/-/globals-11.12.0.tgz",
       "integrity": "sha512-WOBp/EEGUiIsJSp7wcv/y6MO+lV9UoncWqxuFfm8eBwzWNgyfBd6Gz+IeKQ9jCmyhoH99g15M3T+QaVHFjizVA==",
       "dev": true,
       "engines": {
@@ -2649,7 +2692,7 @@
     },
     "node_modules/has-flag": {
       "version": "3.0.0",
-      "resolved": "https://registry.npmmirror.com/has-flag/-/has-flag-3.0.0.tgz",
+      "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-3.0.0.tgz",
       "integrity": "sha512-sKJf1+ceQBr4SMkvQnBDNDtf4TXpVhVGateu0t918bl30FnbE2m4vNLX+VWe/dpjlb+HugGYzW7uQXH98HPEYw==",
       "dev": true,
       "engines": {
@@ -2754,6 +2797,19 @@
         "node": ">=12.0.0"
       }
     },
+    "node_modules/hoist-non-react-statics": {
+      "version": "3.3.2",
+      "resolved": "https://registry.npmjs.org/hoist-non-react-statics/-/hoist-non-react-statics-3.3.2.tgz",
+      "integrity": "sha512-/gGivxi8JPKWNm/W0jSmzcMPpfpPLc3dY/6GxhX2hQ9iGj3aDfklV4ET7NjKpSinLpJ5vafa9iiGIEZg10SfBw==",
+      "dependencies": {
+        "react-is": "^16.7.0"
+      }
+    },
+    "node_modules/hoist-non-react-statics/node_modules/react-is": {
+      "version": "16.13.1",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-16.13.1.tgz",
+      "integrity": "sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ=="
+    },
     "node_modules/html-parse-stringify": {
       "version": "3.0.1",
       "resolved": "https://registry.npmmirror.com/html-parse-stringify/-/html-parse-stringify-3.0.1.tgz",
@@ -2918,7 +2974,7 @@
     },
     "node_modules/jsesc": {
       "version": "2.5.2",
-      "resolved": "https://registry.npmmirror.com/jsesc/-/jsesc-2.5.2.tgz",
+      "resolved": "https://registry.npmjs.org/jsesc/-/jsesc-2.5.2.tgz",
       "integrity": "sha512-OYu7XEzjkCQ3C5Ps3QIZsQfNpqoJyZZA99wd9aWd05NCtC5pWOkShK2mkL6HXQR6/Cy2lbNdPlZBpuQHXE63gA==",
       "dev": true,
       "bin": {
@@ -2930,7 +2986,7 @@
     },
     "node_modules/json5": {
       "version": "2.2.3",
-      "resolved": "https://registry.npmmirror.com/json5/-/json5-2.2.3.tgz",
+      "resolved": "https://registry.npmjs.org/json5/-/json5-2.2.3.tgz",
       "integrity": "sha512-XmOWe7eyHYH14cLdVPoyg+GOH3rYX++KpzrylJwSW98t3Nk+U8XOl8FWKOgwtzdb8lXGf6zYwDUzeHMWfxasyg==",
       "dev": true,
       "bin": {
@@ -2996,7 +3052,7 @@
     },
     "node_modules/lru-cache": {
       "version": "5.1.1",
-      "resolved": "https://registry.npmmirror.com/lru-cache/-/lru-cache-5.1.1.tgz",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-5.1.1.tgz",
       "integrity": "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w==",
       "dev": true,
       "dependencies": {
@@ -3176,6 +3232,11 @@
         "@types/mdast": "^3.0.0"
       }
     },
+    "node_modules/memoize-one": {
+      "version": "5.2.1",
+      "resolved": "https://registry.npmjs.org/memoize-one/-/memoize-one-5.2.1.tgz",
+      "integrity": "sha512-zYiwtZUcYyXKo/np96AGZAckk+FWWsUdJ3cHGGmld7+AhvcWmQyGCYUh1hc4Q/pkOhb65dQR/pqCyK0cOaHz4Q=="
+    },
     "node_modules/merge2": {
       "version": "1.4.1",
       "resolved": "https://registry.npmmirror.com/merge2/-/merge2-1.4.1.tgz",
@@ -3789,6 +3850,11 @@
       "integrity": "sha512-NuaNSa6flKT5JaSYQzJok04JzTL1CA6aGhv5rfLW3PgqA+M2ChpZQnAC8h8i4ZFkBS8X5RqkDBHA7r4hej3K9A==",
       "dev": true
     },
+    "node_modules/raf-schd": {
+      "version": "4.0.3",
+      "resolved": "https://registry.npmjs.org/raf-schd/-/raf-schd-4.0.3.tgz",
+      "integrity": "sha512-tQkJl2GRWh83ui2DiPTJz9wEiMN20syf+5oKfB03yYP7ioZcJwsIK8FjrtLwH1m7C7e+Tt2yYBlrOpdT+dyeIQ=="
+    },
     "node_modules/react": {
       "version": "18.2.0",
       "resolved": "https://registry.npmmirror.com/react/-/react-18.2.0.tgz",
@@ -3800,6 +3866,24 @@
         "node": ">=0.10.0"
       }
     },
+    "node_modules/react-beautiful-dnd": {
+      "version": "13.1.1",
+      "resolved": "https://registry.npmjs.org/react-beautiful-dnd/-/react-beautiful-dnd-13.1.1.tgz",
+      "integrity": "sha512-0Lvs4tq2VcrEjEgDXHjT98r+63drkKEgqyxdA7qD3mvKwga6a5SscbdLPO2IExotU1jW8L0Ksdl0Cj2AF67nPQ==",
+      "dependencies": {
+        "@babel/runtime": "^7.9.2",
+        "css-box-model": "^1.2.0",
+        "memoize-one": "^5.1.1",
+        "raf-schd": "^4.0.2",
+        "react-redux": "^7.2.0",
+        "redux": "^4.0.4",
+        "use-memo-one": "^1.1.1"
+      },
+      "peerDependencies": {
+        "react": "^16.8.5 || ^17.0.0 || ^18.0.0",
+        "react-dom": "^16.8.5 || ^17.0.0 || ^18.0.0"
+      }
+    },
     "node_modules/react-dom": {
       "version": "18.2.0",
       "resolved": "https://registry.npmmirror.com/react-dom/-/react-dom-18.2.0.tgz",
@@ -3872,6 +3956,35 @@
         "react": ">=16"
       }
     },
+    "node_modules/react-redux": {
+      "version": "7.2.9",
+      "resolved": "https://registry.npmjs.org/react-redux/-/react-redux-7.2.9.tgz",
+      "integrity": "sha512-Gx4L3uM182jEEayZfRbI/G11ZpYdNAnBs70lFVMNdHJI76XYtR+7m0MN+eAs7UHBPhWXcnFPaS+9owSCJQHNpQ==",
+      "dependencies": {
+        "@babel/runtime": "^7.15.4",
+        "@types/react-redux": "^7.1.20",
+        "hoist-non-react-statics": "^3.3.2",
+        "loose-envify": "^1.4.0",
+        "prop-types": "^15.7.2",
+        "react-is": "^17.0.2"
+      },
+      "peerDependencies": {
+        "react": "^16.8.3 || ^17 || ^18"
+      },
+      "peerDependenciesMeta": {
+        "react-dom": {
+          "optional": true
+        },
+        "react-native": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/react-redux/node_modules/react-is": {
+      "version": "17.0.2",
+      "resolved": "https://registry.npmjs.org/react-is/-/react-is-17.0.2.tgz",
+      "integrity": "sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w=="
+    },
     "node_modules/react-refresh": {
       "version": "0.14.0",
       "resolved": "https://registry.npmmirror.com/react-refresh/-/react-refresh-0.14.0.tgz",
@@ -3944,6 +4057,14 @@
         "node": ">=8.10.0"
       }
     },
+    "node_modules/redux": {
+      "version": "4.2.1",
+      "resolved": "https://registry.npmjs.org/redux/-/redux-4.2.1.tgz",
+      "integrity": "sha512-LAUYz4lc+Do8/g7aeRa8JkyDErK6ekstQaqWQrNRW//MY1TvCEpMtpTWvlQ+FPbWCx+Xixu/6SHt5N0HR+SB4w==",
+      "dependencies": {
+        "@babel/runtime": "^7.9.2"
+      }
+    },
     "node_modules/regenerator-runtime": {
       "version": "0.13.11",
       "resolved": "https://registry.npmmirror.com/regenerator-runtime/-/regenerator-runtime-0.13.11.tgz",
@@ -4145,7 +4266,7 @@
     },
     "node_modules/semver": {
       "version": "6.3.0",
-      "resolved": "https://registry.npmmirror.com/semver/-/semver-6.3.0.tgz",
+      "resolved": "https://registry.npmjs.org/semver/-/semver-6.3.0.tgz",
       "integrity": "sha512-b39TBaTSfV6yBrapU89p5fKekE2m/NwnDocOVruQFS1/veMgdzuPcnOM34M6CwxW8jH/lxEa5rBoDeUwu5HHTw==",
       "dev": true,
       "bin": {
@@ -4238,7 +4359,7 @@
     },
     "node_modules/supports-color": {
       "version": "5.5.0",
-      "resolved": "https://registry.npmmirror.com/supports-color/-/supports-color-5.5.0.tgz",
+      "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
       "integrity": "sha512-QjVjwdXIt408MIiAqCX4oUKsgU2EqAGzs2Ppkm4aQYbjm+ZEWEcW4SfFNTr4uMNZma0ey4f5lgLrkB0aX0QMow==",
       "dev": true,
       "dependencies": {
@@ -4350,9 +4471,14 @@
         "node": ">=0.8"
       }
     },
+    "node_modules/tiny-invariant": {
+      "version": "1.3.1",
+      "resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.1.tgz",
+      "integrity": "sha512-AD5ih2NlSssTCwsMznbvwMZpJ1cbhkGd2uueNxzv2jDlEeZdU04JQfRnggJQ8DrcVBGjAsCKwFBbDlVNtEMlzw=="
+    },
     "node_modules/to-fast-properties": {
       "version": "2.0.0",
-      "resolved": "https://registry.npmmirror.com/to-fast-properties/-/to-fast-properties-2.0.0.tgz",
+      "resolved": "https://registry.npmjs.org/to-fast-properties/-/to-fast-properties-2.0.0.tgz",
       "integrity": "sha512-/OaKK0xYrs3DmxRYqL/yDc+FxFUVYhDlXMhRmv3z915w2HF1tnN1omB354j8VUGO/hbRzyD6Y3sA7v7GS/ceog==",
       "dev": true,
       "engines": {
@@ -4503,6 +4629,14 @@
         "react-dom": ">=16.8.0 <19.0.0"
       }
     },
+    "node_modules/use-memo-one": {
+      "version": "1.1.3",
+      "resolved": "https://registry.npmjs.org/use-memo-one/-/use-memo-one-1.1.3.tgz",
+      "integrity": "sha512-g66/K7ZQGYrI6dy8GLpVcMsBp4s17xNkYJVSMvTEevGy3nDxHOfE6z8BVE22+5G5x7t3+bhzrlTDB7ObrEE0cQ==",
+      "peerDependencies": {
+        "react": "^16.8.0 || ^17.0.0 || ^18.0.0"
+      }
+    },
     "node_modules/usehooks-ts": {
       "version": "2.9.1",
       "resolved": "https://registry.npmmirror.com/usehooks-ts/-/usehooks-ts-2.9.1.tgz",
@@ -4580,9 +4714,9 @@
       }
     },
     "node_modules/vite": {
-      "version": "4.3.6",
-      "resolved": "https://registry.npmmirror.com/vite/-/vite-4.3.6.tgz",
-      "integrity": "sha512-cqIyLSbA6gornMS659AXTVKF7cvSHMdKmJJwQ9DXq3lwsT1uZSdktuBRlpHQ8VnOWx0QHtjDwxPpGtyo9Fh/Qg==",
+      "version": "4.3.9",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-4.3.9.tgz",
+      "integrity": "sha512-qsTNZjO9NoJNW7KnOrgYwczm0WctJ8m/yqYAMAK9Lxt4SoySUfS5S8ia9K7JHpa3KEeMfyF8LoJ3c5NeBJy6pg==",
       "dev": true,
       "dependencies": {
         "esbuild": "^0.17.5",
@@ -4701,7 +4835,7 @@
     },
     "node_modules/yallist": {
       "version": "3.1.1",
-      "resolved": "https://registry.npmmirror.com/yallist/-/yallist-3.1.1.tgz",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
       "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==",
       "dev": true
     },

frontend/package.json

@@ -19,6 +19,7 @@
     "mobx": "^6.9.0",
     "mobx-react-lite": "^3.4.3",
     "react": "^18.2.0",
+    "react-beautiful-dnd": "^13.1.1",
     "react-dom": "^18.2.0",
     "react-i18next": "^12.2.2",
     "react-markdown": "^8.0.7",
@@ -34,6 +35,7 @@
   },
   "devDependencies": {
     "@types/react": "^18.2.6",
+    "@types/react-beautiful-dnd": "^13.1.4",
     "@types/react-dom": "^18.2.4",
     "@types/uuid": "^9.0.1",
     "@vitejs/plugin-react": "^4.0.0",

frontend/src/App.tsx

@@ -28,10 +28,10 @@ import { FC, useEffect, useState } from 'react';
 import { Route, Routes, useLocation, useNavigate } from 'react-router';
 import { pages } from './pages';
 import { useMediaQuery } from 'usehooks-ts';
-import { ToastContainer } from 'react-toastify';
 import commonStore from './stores/commonStore';
 import { observer } from 'mobx-react-lite';
 import { useTranslation } from 'react-i18next';
+import { CustomToastContainer } from './components/CustomToastContainer';
 
 const App: FC = observer(() => {
   const { t } = useTranslation();
@@ -87,21 +87,7 @@ const App: FC = observer(() => {
           </Routes>
         </div>
       </div>
-      <ToastContainer
-        style={{
-          width: '350px'
-        }}
-        position="top-center"
-        autoClose={4000}
-        pauseOnHover={true}
-        hideProgressBar={true}
-        newestOnTop={true}
-        closeOnClick={false}
-        rtl={false}
-        pauseOnFocusLoss={false}
-        draggable={false}
-        theme={commonStore.settings.darkMode ? 'dark' : 'light'}
-      />
+      <CustomToastContainer />
     </FluentProvider>
   );
 });

frontend/src/_locales/zh-hans/main.json

@@ -16,15 +16,15 @@
   "Stored Layers": "载入显存层数",
   "Precision": "精度",
   "Device": "设备",
-  "Convert model with these configs": "用这些设置转换模型",
+  "Convert model with these configs. Using a converted model will greatly improve the loading speed, but model parameters of the converted model cannot be modified.": "用这些设置转换模型. 使用转换过的模型能大大提升载入速度, 但是转换后的模型无法再修改模型参数.",
   "Manage Models": "管理模型",
   "Model": "模型",
   "Model Parameters": "模型参数",
-  "Frequency Penalty *": "Frequency Penalty *",
-  "Presence Penalty *": "Presence Penalty *",
-  "Top_P *": "Top_P *",
-  "Temperature *": "Temperature *",
-  "Max Response Token *": "最大响应 Token *",
+  "Frequency Penalty": "Frequency Penalty",
+  "Presence Penalty": "Presence Penalty",
+  "Top_P": "Top_P",
+  "Temperature": "Temperature",
+  "Max Response Token": "最大响应 Token",
   "API Port": "API 端口",
   "Hover your mouse over the text to view a detailed description. Settings marked with * will take effect immediately after being saved.": "把鼠标悬停在文本上查看详细描述. 标记了星号 * 的设置在保存后会立即生效.",
   "Default API Parameters": "默认 API 参数",
@@ -70,24 +70,25 @@
   "Type your message here": "在此输入消息",
   "Copy": "复制",
   "Read Aloud": "朗读",
-  "Hello! I'm RWKV, an open-source and commercially available large language model.": "你好! 我是RWKV, 一个开源可商用的大语言模型.",
+  "Hello! I'm RWKV, an open-source and commercially usable large language model.": "你好！我是RWKV，一个开源可商用的大语言模型。",
   "This tool's API is compatible with OpenAI API. It can be used with any ChatGPT tool you like. Go to the settings of some ChatGPT tool, replace the 'https://api.openai.com' part in the API address with '": "本工具的API与OpenAI API兼容. 因此可以配合任意你喜欢的ChatGPT工具使用. 打开某个ChatGPT工具的设置, 将API地址中的'https://api.openai.com'部分替换为'",
   "New Version Available": "新版本可用",
   "Update": "更新",
   "Please click the button in the top right corner to start the model": "请点击右上角的按钮启动模型",
-  "Update Error, Please restart this program": "更新出错, 请重启本程序",
+  "Update Error": "更新出错",
   "Open the following URL with your browser to view the API documentation": "使用浏览器打开以下地址查看API文档",
   "By default, the maximum number of tokens that can be answered in a single response, it can be changed by the user by specifying API parameters.": "默认情况下, 单个回复最多回答的token数目, 用户可以通过自行指定API参数改变这个值",
-  "Sampling temperature, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.": "采样温度, 越大随机性越强, 更具创造力, 越小则越保守稳定",
-  "Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.": "考虑前 n% 概率质量的结果, 0.1 考虑前 10%, 质量更高, 但更保守, 1 考虑所有质量结果, 质量降低, 但更多样",
+  "Sampling temperature, it's like giving alcohol to a model, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.": "采样温度, 就像给模型喝酒, 越大随机性越强, 更具创造力, 越小则越保守稳定",
+  "Just like feeding sedatives to the model. Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.": "就像给模型喂镇静剂. 考虑前 n% 概率质量的结果, 0.1 考虑前 10%, 质量更高, 但更保守, 1 考虑所有质量结果, 质量降低, 但更多样",
   "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.": "存在惩罚. 正值根据新token在至今的文本中是否出现过, 来对其进行惩罚, 从而增加了模型涉及新话题的可能性",
   "Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.": "频率惩罚. 正值根据新token在至今的文本中出现的频率/次数, 来对其进行惩罚, 从而减少模型原封不动地重复相同句子的可能性",
-  "int8 uses less VRAM, and is faster, but has slightly lower quality. fp16 has higher quality, and fp32 has the best quality.": "int8占用显存更低, 速度更快, 但质量略微下降. fp16质量更好, fp32质量最好",
-  "Number of the neural network layers loaded into VRAM, the more you load, the faster the speed, but it consumes more VRAM.": "载入显存的神经网络层数, 载入越多, 速度越快, 但显存消耗越大",
+  "int8 uses less VRAM, but has slightly lower quality. fp16 has higher quality, and fp32 has the best quality.": "int8占用显存更低, 但质量略微下降. fp16质量更好, fp32质量最好",
+  "Number of the neural network layers loaded into VRAM, the more you load, the faster the speed, but it consumes more VRAM. (If your VRAM is not enough, it will fail to load)": "载入显存的神经网络层数, 载入越多, 速度越快, 但显存消耗越大 (如果你的显存不够, 会载入失败)",
   "Whether to use CPU to calculate the last output layer of the neural network with FP32 precision to obtain better quality.": "是否使用cpu以fp32精度计算神经网络的最后一层输出层, 以获得更好的质量",
   "Downloads": "下载",
   "Pause": "暂停",
   "Continue": "继续",
+  "Resume": "继续",
   "Check": "查看",
   "Model file not found": "模型文件不存在",
   "Can not find download url": "找不到下载地址",
@@ -97,5 +98,96 @@
   "This is the latest version": "已是最新版",
   "Use Tsinghua Pip Mirrors": "使用清华大学Pip镜像源",
   "Model Config Exception": "模型配置异常",
-  "Use Gitee Updates Source": "使用Gitee更新源"
+  "Use Gitee Updates Source": "使用Gitee更新源",
+  "Use Custom CUDA kernel to Accelerate": "使用自定义CUDA算子加速",
+  "Enabling this option can greatly improve inference speed and save some VRAM, but there may be compatibility issues. If it fails to start, please turn off this option.": "开启这个选项能大大提升推理速度并节省显存，但可能存在兼容性问题，如果启动失败，请关闭此选项",
+  "Supported custom cuda file not found": "没有找到支持的自定义cuda文件",
+  "Failed to copy custom cuda file": "自定义cuda文件复制失败",
+  "Downloading update, please wait. If it is not completed, please manually download the program from GitHub and replace the original program.": "正在下载更新，请等待。如果一直未完成，请从Github手动下载并覆盖原程序",
+  "Completion": "补全",
+  "Parameters": "参数",
+  "Stop Sequences": "停止词",
+  "When this content appears in the response result, the generation will end.": "响应结果出现该内容时就结束生成",
+  "Reset": "重置",
+  "Generate": "生成",
+  "Writer": "写作",
+  "Translator": "翻译",
+  "Catgirl": "猫娘",
+  "Explain Code": "代码解释",
+  "Werewolf": "狼人杀",
+  "Instruction": "指令",
+  "Blank": "空白",
+  "The following is an epic science fiction masterpiece that is immortalized, with delicate descriptions and grand depictions of interstellar civilization wars.\nChapter 1.\n": "《背影》\n我与父亲不相见已二年余了，我最不能忘记的是他的背影。\n那年冬天，祖母死了，父亲的差使也交卸了，正是祸不单行的日子。我从北京到徐州，打算",
+  "The following is a conversation between a cat girl and her owner. The cat girl is a humanized creature that behaves like a cat but is humanoid. At the end of each sentence in the dialogue, she will add \"Meow~\". In the following content, Bob represents the owner and Alice represents the cat girl.\n\nBob: Hello.\n\nAlice: I'm here, meow~.\n\nBob: Can you tell jokes?": "以下是一位猫娘的主人和猫娘的对话内容，猫娘是一种拟人化的生物，其行为似猫但类人，在每一句对话末尾都会加上\"喵~\"。以下内容中，Bob代表主人，Alice代表猫娘。\n\nBob: 你好\n\nAlice: 主人我在哦，喵~\n\nBob: 你会讲笑话吗?",
+  "When response finished, inject this content.": "响应结束时，插入此内容到末尾",
+  "Inject start text": "起始注入文本",
+  "Inject end text": "结尾注入文本",
+  "Before the response starts, inject this content.": "响应开始前，在开头插入此内容",
+  "There is currently a game of Werewolf with six players, including a Seer (who can check identities at night), two Werewolves (who can choose someone to kill at night), a Bodyguard (who can choose someone to protect at night), two Villagers (with no special abilities), and a game host. Bob will play as Player 1, Alice will play as Players 2-6 and the game host, and they will begin playing together. Every night, the host will ask Bob for his action and simulate the actions of the other players. During the day, the host will oversee the voting process and ask Bob for his vote. \n\nAlice: Next, I will act as the game host and assign everyone their roles, including randomly assigning yours. Then, I will simulate the actions of Players 2-6 and let you know what happens each day. Based on your assigned role, you can tell me your actions and I will let you know the corresponding results each day.\n\nBob: Okay, I understand. Let's begin. Please assign me a role. Am I the Seer, Werewolf, Villager, or Bodyguard?\n\nAlice: You are the Seer. Now that night has fallen, please choose a player to check his identity.\n\nBob: Tonight, I want to check Player 2 and find out his role.": "现在有一场六人狼人杀游戏，包括一名预言家(可以在夜晚查验身份)，两名狼人(可以在夜晚选择杀人)，一名守卫(可以在夜晚选择要守护的人)，两名平民（无技能)，一名主持人，以下内容中Bob将扮演其中的1号玩家，Alice来扮演2-6号玩家，以及主持人，并开始与Bob进行游戏，主持人每晚都会询问Bob的行动，并模拟其他人的行动，在白天则要主持投票，并同样询问Bob投票对象，公布投票结果。\n\nAlice: 接下来，我将首先作为主持人进行角色分配，并给你赋予随机的角色，之后我将模拟2-6号玩家进行行动，告知你每天的动态，根据你被分配的角色，你可以回复我你做的行动，我会告诉你每天对应的结果\n\nBob: 好的，我明白了，那么开始吧。请先给我一个角色身份。我是预言家，狼人，平民，守卫中的哪一个呢？\n\nAlice: 你的身份是预言家。现在夜晚降临，请选择你要查验的玩家。\n\nBob: 今晚我要验2号玩家，他是什么身份？",
+  "Writer, Translator, Role-playing": "写作，翻译，角色扮演",
+  "Chinese Kongfu": "情境冒险",
+  "Allow external access to the API (service must be restarted)": "允许外部访问API (必须重启服务)",
+  "Custom": "自定义",
+  "Reset All Configs": "重置所有配置",
+  "Cancel": "取消",
+  "Confirm": "确认",
+  "Are you sure you want to reset all configs? This will obtain the latest preset configs, but will override your custom configs and cannot be undone.": "你确定要重置所有配置吗？这会获取最新的预设配置，但会覆盖你的自定义配置，并且无法撤销",
+  "Advanced": "高级",
+  "Custom Python Path": "自定义Python路径",
+  "Custom Models Path": "自定义模型路径",
+  "Microsoft Visual C++ Redistributable is not installed, would you like to download it?": "微软VC++组件未安装, 是否下载?",
+  "File Path Cannot Contain Space": "文件路径不能包含空格",
+  "Current Strategy": "当前Strategy",
+  "MacOS is not yet supported for performing this operation, please do it manually.": "MacOS尚未支持此操作, 请手动执行",
+  "Linux is not yet supported for performing this operation, please do it manually.": "Linux尚未支持此操作, 请手动执行",
+  "On Linux system, you must manually install python dependencies.": "在Linux系统下, 你必须手动安装python依赖",
+  "Update completed, please restart the program.": "更新完成, 请重启程序",
+  "Are you sure you want to reset this page? It cannot be undone.": "你确定要重置本页吗？这无法撤销",
+  "Model file download is not complete": "模型文件下载未完成",
+  "Error": "错误",
+  "Are you sure you want to clear the conversation? It cannot be undone.": "你确定要清空对话吗？这无法撤销",
+  "Save": "保存",
+  "Conversation Saved": "对话已保存",
+  "Open": "打开",
+  "DPI Scaling": "显示缩放",
+  "Restart the app to apply DPI Scaling.": "重启应用以使显示缩放生效",
+  "Restart": "重启",
+  "API Chat Model Name": "API聊天模型名",
+  "API Completion Model Name": "API补全模型名",
+  "Localhost": "本地",
+  "Retry": "重试",
+  "Delete": "删除",
+  "Edit": "编辑",
+  "Memory is not enough, try to increase the virtual memory or use a smaller model.": "内存不足，尝试增加虚拟内存，或使用一个更小规模的模型",
+  "Bad PyTorch version, please reinstall PyTorch with cuda.": "错误的PyTorch版本，请重新安装CUDA版本的PyTorch",
+  "The model file is corrupted, please download again.": "模型文件损坏，请重新下载",
+  "Found no NVIDIA driver, please install the latest driver.": "没有找到NVIDIA驱动，请安装最新驱动",
+  "VRAM is not enough, please reduce stored layers or use a lower precision in Configs page.": "显存不足，请在配置页面减少载入显存层数，或使用更低的精度",
+  "Failed to enable custom CUDA kernel, ninja is required to load C++ extensions. You may be using the CPU version of PyTorch, please reinstall PyTorch with CUDA. Or if you are using a custom Python interpreter, you must compile the CUDA kernel by yourself or disable Custom CUDA kernel acceleration.": "自定义CUDA算子开启失败，需要安装Ninja来读取C++扩展。你可能正在使用CPU版本的PyTorch，请重新安装CUDA版本的PyTorch。如果你正在使用自定义Python解释器，你必须自己编译CUDA算子或禁用自定义CUDA算子加速",
+  "Presets": "预设",
+  "Online": "在线",
+  "english": "英文",
+  "chinese": "中文",
+  "default": "默认",
+  "japanese": "日文",
+  "New Preset": "新建预设",
+  "Import": "导入",
+  "Name": "名称",
+  "Imported successfully": "导入成功",
+  "Failed to import. Please copy a preset to the clipboard.": "导入失败。请复制一个预设到剪贴板",
+  "Clipboard is empty.": "剪贴板没有内容",
+  "Successfully copied to clipboard.": "成功复制到剪贴板",
+  "Edit Messages": "编辑对话",
+  "Go Back": "返回",
+  "Description": "描述",
+  "Avatar Url": "头像图片地址",
+  "Welcome Message": "欢迎语",
+  "Display Preset Messages": "显示预设中的对话",
+  "Tag": "标签",
+  "Activate": "激活",
+  "New": "新建",
+  "user": "用户",
+  "assistant": "AI",
+  "system": "系统",
+  "Regenerate": "重新生成"
 }

frontend/src/apis/index.ts

@@ -1,4 +1,4 @@
-import commonStore, { ModelStatus } from '../stores/commonStore';
+import commonStore, { Status } from '../stores/commonStore';
 
 export const readRoot = async () => {
   const port = commonStore.getCurrentModelConfig().apiParameters.apiPort;
@@ -36,15 +36,15 @@ export const updateConfig = async (body: any) => {
   });
 };
 
-export const getStatus = async (timeout?: number): Promise<ModelStatus | undefined> => {
+export const getStatus = async (timeout?: number): Promise<Status | undefined> => {
   const controller = new AbortController();
   if (timeout)
     setTimeout(() => controller.abort(), timeout);
 
   const port = commonStore.getCurrentModelConfig().apiParameters.apiPort;
-  let ret: ModelStatus | undefined;
+  let ret: Status | undefined;
   await fetch(`http://127.0.0.1:${port}/status`, { signal: controller.signal }).then(r => r.json()).then(data => {
-    ret = data.status;
+    ret = data;
   }).catch(() => {
   });
   return ret;

frontend/src/components/CopyButton.tsx

@@ -4,7 +4,7 @@ import { useTranslation } from 'react-i18next';
 import { ClipboardSetText } from '../../wailsjs/runtime';
 import { ToolTipButton } from './ToolTipButton';
 
-export const CopyButton: FC<{ content: string }> = ({ content }) => {
+export const CopyButton: FC<{ content: string, showDelay?: number, }> = ({ content, showDelay = 0 }) => {
   const { t } = useTranslation();
   const [copied, setCopied] = useState(false);
 
@@ -19,7 +19,8 @@ export const CopyButton: FC<{ content: string }> = ({ content }) => {
   };
 
   return (
-    <ToolTipButton desc={t('Copy')} size="small" appearance="subtle" icon={copied ? <CheckIcon /> : <CopyIcon />}
+    <ToolTipButton desc={t('Copy')} size="small" appearance="subtle" showDelay={showDelay}
+      icon={copied ? <CheckIcon /> : <CopyIcon />}
       onClick={onClick} />
   );
 };

frontend/src/components/CustomToastContainer.tsx

@@ -0,0 +1,17 @@
+import commonStore from '../stores/commonStore';
+import { ToastContainer } from 'react-toastify';
+
+export const CustomToastContainer = () =>
+  <ToastContainer
+    style={{ width: '350px' }}
+    position="top-center"
+    autoClose={4000}
+    pauseOnHover={true}
+    hideProgressBar={true}
+    newestOnTop={true}
+    closeOnClick={false}
+    rtl={false}
+    pauseOnFocusLoss={false}
+    draggable={false}
+    theme={commonStore.settings.darkMode ? 'dark' : 'light'}
+  />;

frontend/src/components/DialogButton.tsx

@@ -0,0 +1,58 @@
+import { FC, ReactElement } from 'react';
+import {
+  Button,
+  Dialog,
+  DialogActions,
+  DialogBody,
+  DialogContent,
+  DialogSurface,
+  DialogTitle,
+  DialogTrigger
+} from '@fluentui/react-components';
+import { ToolTipButton } from './ToolTipButton';
+import { useTranslation } from 'react-i18next';
+
+export const DialogButton: FC<{
+  text?: string | null
+  icon?: ReactElement,
+  tooltip?: string | null,
+  className?: string,
+  title: string,
+  contentText: string,
+  onConfirm: () => void,
+  size?: 'small' | 'medium' | 'large',
+  shape?: 'rounded' | 'circular' | 'square',
+  appearance?: 'secondary' | 'primary' | 'outline' | 'subtle' | 'transparent',
+}> = ({
+  text, icon, tooltip, className, title, contentText,
+  onConfirm, size, shape, appearance
+}) => {
+  const { t } = useTranslation();
+
+  return <Dialog>
+    <DialogTrigger disableButtonEnhancement>
+      {tooltip ?
+        <ToolTipButton className={className} desc={tooltip} text={text} icon={icon} size={size} shape={shape}
+          appearance={appearance} /> :
+        <Button className={className} icon={icon} size={size} shape={shape} appearance={appearance}>{text}</Button>
+      }
+    </DialogTrigger>
+    <DialogSurface>
+      <DialogBody>
+        <DialogTitle>{title}</DialogTitle>
+        <DialogContent>
+          {contentText}
+        </DialogContent>
+        <DialogActions>
+          <DialogTrigger disableButtonEnhancement>
+            <Button appearance="secondary">{t('Cancel')}</Button>
+          </DialogTrigger>
+          <DialogTrigger disableButtonEnhancement>
+            <Button appearance="primary" onClick={onConfirm}>{t('Confirm')}
+            </Button>
+          </DialogTrigger>
+        </DialogActions>
+      </DialogBody>
+    </DialogSurface>
+  </Dialog>;
+};

frontend/src/components/Labeled.tsx

@@ -3,25 +3,38 @@ import { Label, Tooltip } from '@fluentui/react-components';
 import classnames from 'classnames';
 
 export const Labeled: FC<{
-  label: string; desc?: string | null, content: ReactElement, flex?: boolean, spaceBetween?: boolean
+  label: string;
+  desc?: string | null,
+  descComponent?: ReactElement,
+  content: ReactElement,
+  flex?: boolean,
+  spaceBetween?: boolean,
+  breakline?: boolean,
+  onMouseEnter?: () => void
+  onMouseLeave?: () => void
 }> = ({
   label,
   desc,
+  descComponent,
   content,
   flex,
-  spaceBetween
+  spaceBetween,
+  breakline,
+  onMouseEnter,
+  onMouseLeave
 }) => {
   return (
     <div className={classnames(
-      'items-center',
+      !breakline ? 'items-center' : '',
       flex ? 'flex' : 'grid grid-cols-2',
+      breakline ? 'flex-col' : '',
       spaceBetween && 'justify-between')
     }>
-      {desc ?
-        <Tooltip content={desc} showDelay={0} hideDelay={0} relationship="description">
-          <Label>{label}</Label>
+      {(desc || descComponent) ?
+        <Tooltip content={descComponent ? descComponent : desc!} showDelay={0} hideDelay={0} relationship="description">
+          <Label onMouseEnter={onMouseEnter} onMouseLeave={onMouseLeave}>{label}</Label>
         </Tooltip> :
-        <Label>{label}</Label>
+        <Label onMouseEnter={onMouseEnter} onMouseLeave={onMouseLeave}>{label}</Label>
       }
       {content}
     </div>

frontend/src/components/ReadButton.tsx

@@ -7,13 +7,28 @@ import { observer } from 'mobx-react-lite';
 
 const synth = window.speechSynthesis;
 
-export const ReadButton: FC<{ content: string }> = observer(({ content }) => {
+export const ReadButton: FC<{
+  content: string,
+  inSpeaking?: boolean,
+  showDelay?: number,
+  setSpeakingOuter?: (speaking: boolean) => void
+}> = observer(({
+  content,
+  inSpeaking = false,
+  showDelay = 0,
+  setSpeakingOuter
+}) => {
   const { t } = useTranslation();
-  const [speaking, setSpeaking] = useState(false);
+  const [speaking, setSpeaking] = useState(inSpeaking);
   let lang: string = commonStore.settings.language;
   if (lang === 'dev')
     lang = 'en';
 
+  const setSpeakingInner = (speaking: boolean) => {
+    setSpeakingOuter?.(speaking);
+    setSpeaking(speaking);
+  };
+
   const startSpeak = () => {
     synth.cancel();
 
@@ -31,22 +46,22 @@ export const ReadButton: FC<{ content: string }> = observer(({ content }) => {
     Object.assign(utterance, {
       rate: 1,
       volume: 1,
-      onend: () => setSpeaking(false),
-      onerror: () => setSpeaking(false),
+      onend: () => setSpeakingInner(false),
+      onerror: () => setSpeakingInner(false),
       voice: voice
     });
 
     synth.speak(utterance);
-    setSpeaking(true);
+    setSpeakingInner(true);
   };
 
   const stopSpeak = () => {
     synth.cancel();
-    setSpeaking(false);
+    setSpeakingInner(false);
   };
 
   return (
-    <ToolTipButton desc={t('Read Aloud')} size="small" appearance="subtle"
+    <ToolTipButton desc={t('Read Aloud')} size="small" appearance="subtle" showDelay={showDelay}
       icon={speaking ? <MuteIcon /> : <UnmuteIcon />}
       onClick={speaking ? stopSpeak : startSpeak} />
   );

frontend/src/components/ResetConfigsButton.tsx

@@ -0,0 +1,18 @@
+import React, { FC } from 'react';
+import { DialogButton } from './DialogButton';
+import { useTranslation } from 'react-i18next';
+import { ArrowReset20Regular } from '@fluentui/react-icons';
+import commonStore from '../stores/commonStore';
+
+import { defaultModelConfigs, defaultModelConfigsMac } from '../pages/defaultModelConfigs';
+
+export const ResetConfigsButton: FC<{ afterConfirm?: () => void }> = ({ afterConfirm }) => {
+  const { t } = useTranslation();
+  return <DialogButton icon={<ArrowReset20Regular />} tooltip={t('Reset All Configs')} title={t('Reset All Configs')}
+    contentText={t('Are you sure you want to reset all configs? This will obtain the latest preset configs, but will override your custom configs and cannot be undone.')}
+    onConfirm={() => {
+      commonStore.setModelConfigs(commonStore.platform != 'darwin' ? defaultModelConfigs : defaultModelConfigsMac, false);
+      commonStore.setCurrentConfigIndex(0, true);
+      afterConfirm?.();
+    }} />;
+};

frontend/src/components/RunButton.tsx

@@ -2,6 +2,7 @@ import React, { FC, MouseEventHandler, ReactElement } from 'react';
 import commonStore, { ModelStatus } from '../stores/commonStore';
 import {
   AddToDownloadList,
+  CopyFile,
   DepCheck,
   FileExists,
   InstallPyDep,
@@ -9,15 +10,14 @@ import {
 } from '../../wailsjs/go/backend_golang/App';
 import { Button } from '@fluentui/react-components';
 import { observer } from 'mobx-react-lite';
-import { exit, readRoot, switchModel, updateConfig } from '../apis';
+import { exit, getStatus, readRoot, switchModel, updateConfig } from '../apis';
 import { toast } from 'react-toastify';
-import manifest from '../../../manifest.json';
-import { getStrategy, saveCache, toastWithButton } from '../utils';
+import { getStrategy, getSupportedCustomCudaFile, saveCache, toastWithButton } from '../utils';
 import { useTranslation } from 'react-i18next';
 import { ToolTipButton } from './ToolTipButton';
 import { Play16Regular, Stop16Regular } from '@fluentui/react-icons';
 import { useNavigate } from 'react-router';
-import { WindowShow } from '../../wailsjs/runtime/runtime';
+import { BrowserOpenURL, WindowShow } from '../../wailsjs/runtime/runtime';
 
 const mainButtonText = {
   [ModelStatus.Offline]: 'Run',
@@ -42,24 +42,24 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
   const navigate = useNavigate();
 
   const onClickMainButton = async () => {
-    if (commonStore.modelStatus === ModelStatus.Offline) {
-      commonStore.setModelStatus(ModelStatus.Starting);
+    if (commonStore.status.status === ModelStatus.Offline) {
+      commonStore.setStatus({ status: ModelStatus.Starting });
 
       const modelConfig = commonStore.getCurrentModelConfig();
       let modelName = '';
       let modelPath = '';
       if (modelConfig && modelConfig.modelParameters) {
         modelName = modelConfig.modelParameters.modelName;
-        modelPath = `./${manifest.localModelDir}/${modelName}`;
+        modelPath = `${commonStore.settings.customModelsPath}/${modelName}`;
       } else {
         toast(t('Model Config Exception'), { type: 'error' });
-        commonStore.setModelStatus(ModelStatus.Offline);
+        commonStore.setStatus({ status: ModelStatus.Offline });
         return;
       }
 
       if (!commonStore.depComplete) {
         let depErrorMsg = '';
-        await DepCheck().catch((e) => {
+        await DepCheck(commonStore.settings.customPythonPath).catch((e) => {
           depErrorMsg = e.message || e;
           WindowShow();
           if (depErrorMsg === 'python zip not found') {
@@ -70,27 +70,48 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
               AddToDownloadList('python-3.10.11-embed-amd64.zip', 'https://www.python.org/ftp/python/3.10.11/python-3.10.11-embed-amd64.zip');
             });
           } else if (depErrorMsg.includes('DepCheck Error')) {
-            toastWithButton(t('Python dependencies are incomplete, would you like to install them?'), t('Install'), () => {
-              InstallPyDep(commonStore.settings.cnMirror);
-              setTimeout(WindowShow, 1000);
-            });
+            if (depErrorMsg.includes('vc_redist')) {
+              toastWithButton(t('Microsoft Visual C++ Redistributable is not installed, would you like to download it?'), t('Download'), () => {
+                BrowserOpenURL('https://aka.ms/vs/16/release/vc_redist.x64.exe');
+              });
+            } else {
+              toast(depErrorMsg, { type: 'info', position: 'bottom-left' });
+              if (commonStore.platform != 'linux')
+                toastWithButton(t('Python dependencies are incomplete, would you like to install them?'), t('Install'), () => {
+                  InstallPyDep(commonStore.settings.customPythonPath, commonStore.settings.cnMirror).catch((e) => {
+                    const errMsg = e.message || e;
+                    toast(t('Error') + ' - ' + errMsg, { type: 'error' });
+                  });
+                  setTimeout(WindowShow, 1000);
+                }, {
+                  autoClose: 8000
+                });
+              else
+                toastWithButton(t('On Linux system, you must manually install python dependencies.'), t('Check'), () => {
+                  BrowserOpenURL('https://github.com/josStorer/RWKV-Runner/blob/master/build/linux/Readme_Install.txt');
+                });
+            }
           } else {
             toast(depErrorMsg, { type: 'error' });
           }
         });
         if (depErrorMsg) {
-          commonStore.setModelStatus(ModelStatus.Offline);
+          commonStore.setStatus({ status: ModelStatus.Offline });
           return;
         }
         commonStore.setDepComplete(true);
+        if (commonStore.platform === 'windows')
+          CopyFile('./backend-python/wkv_cuda_utils/wkv_cuda_model.py', './py310/Lib/site-packages/rwkv/model.py');
         saveCache();
       }
 
-      if (!await FileExists(modelPath)) {
-        toastWithButton(t('Model file not found'), t('Download'), () => {
-          const downloadUrl = commonStore.modelSourceList.find(item => item.name === modelName)?.downloadUrl;
+      const currentModelSource = commonStore.modelSourceList.find(item => item.name === modelName);
+
+      const showDownloadPrompt = (promptInfo: string, downloadName: string) => {
+        toastWithButton(promptInfo, t('Download'), () => {
+          const downloadUrl = currentModelSource?.downloadUrl;
           if (downloadUrl) {
-            toastWithButton(`${t('Downloading')} ${modelName}`, t('Check'), () => {
+            toastWithButton(`${t('Downloading')} ${downloadName}`, t('Check'), () => {
                 navigate({ pathname: '/downloads' });
               },
               { autoClose: 3000 });
@@ -99,8 +120,15 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
             toast(t('Can not find download url'), { type: 'error' });
           }
         });
+      };
 
-        commonStore.setModelStatus(ModelStatus.Offline);
+      if (!await FileExists(modelPath)) {
+        showDownloadPrompt(t('Model file not found'), modelName);
+        commonStore.setStatus({ status: ModelStatus.Offline });
+        return;
+      } else if (!currentModelSource?.isComplete) {
+        showDownloadPrompt(t('Model file download is not complete'), modelName);
+        commonStore.setStatus({ status: ModelStatus.Offline });
         return;
       }
 
@@ -108,18 +136,28 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
 
       await exit(1000).catch(() => {
       });
-      StartServer(port);
+      StartServer(commonStore.settings.customPythonPath, port, commonStore.settings.host !== '127.0.0.1' ? '0.0.0.0' : '127.0.0.1').catch((e) => {
+        const errMsg = e.message || e;
+        if (errMsg.includes('path contains space'))
+          toast(`${t('Error')} - ${t('File Path Cannot Contain Space')}`, { type: 'error' });
+        else
+          toast(t('Error') + ' - ' + errMsg, { type: 'error' });
+      });
       setTimeout(WindowShow, 1000);
 
       let timeoutCount = 6;
       let loading = false;
       const intervalId = setInterval(() => {
         readRoot()
-        .then(r => {
+        .then(async r => {
           if (r.ok && !loading) {
-            clearInterval(intervalId);
-            commonStore.setModelStatus(ModelStatus.Loading);
             loading = true;
+            clearInterval(intervalId);
+            await getStatus().then(status => {
+              if (status)
+                commonStore.setStatus(status);
+            });
+            commonStore.setStatus({ status: ModelStatus.Loading });
             toast(t('Loading Model'), { type: 'info' });
             updateConfig({
               max_tokens: modelConfig.apiParameters.maxResponseToken,
@@ -128,56 +166,95 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
               presence_penalty: modelConfig.apiParameters.presencePenalty,
               frequency_penalty: modelConfig.apiParameters.frequencyPenalty
             });
+
+            const strategy = getStrategy(modelConfig);
+            let customCudaFile = '';
+            if ((modelConfig.modelParameters.device === 'CUDA' || modelConfig.modelParameters.device === 'Custom')
+              && modelConfig.modelParameters.useCustomCuda && !strategy.includes('fp32')) {
+              if (commonStore.platform === 'windows') {
+                customCudaFile = getSupportedCustomCudaFile();
+                if (customCudaFile) {
+                  FileExists('./py310/Lib/site-packages/rwkv/model.py').then((exist) => {
+                    // defensive measure. As Python has already been launched, will only take effect the next time it runs.
+                    if (!exist) CopyFile('./backend-python/wkv_cuda_utils/wkv_cuda_model.py', './py310/Lib/site-packages/rwkv/model.py');
+                  });
+                  await CopyFile(customCudaFile, './py310/Lib/site-packages/rwkv/wkv_cuda.pyd').catch(() => {
+                    FileExists('./py310/Lib/site-packages/rwkv/wkv_cuda.pyd').then((exist) => {
+                      if (!exist) {
+                        customCudaFile = '';
+                        toast(t('Failed to copy custom cuda file'), { type: 'error' });
+                      }
+                    });
+                  });
+                } else
+                  toast(t('Supported custom cuda file not found'), { type: 'warning' });
+              } else {
+                customCudaFile = 'any';
+              }
+            }
+
             switchModel({
-              model: `${manifest.localModelDir}/${modelConfig.modelParameters.modelName}`,
-              strategy: getStrategy(modelConfig)
-            }).then((r) => {
+              model: modelPath,
+              strategy: strategy,
+              customCuda: customCudaFile !== ''
+            }).then(async (r) => {
               if (r.ok) {
-                commonStore.setModelStatus(ModelStatus.Working);
+                commonStore.setStatus({ status: ModelStatus.Working });
                 toastWithButton(t('Startup Completed'), t('Chat'), () => {
                   navigate({ pathname: '/chat' });
                 }, { type: 'success', autoClose: 3000 });
               } else if (r.status === 304) {
                 toast(t('Loading Model'), { type: 'info' });
               } else {
-                commonStore.setModelStatus(ModelStatus.Offline);
-                toast(t('Failed to switch model'), { type: 'error' });
+                commonStore.setStatus({ status: ModelStatus.Offline });
+                const error = await r.text();
+                const errorsMap = {
+                  'not enough memory': 'Memory is not enough, try to increase the virtual memory or use a smaller model.',
+                  'not compiled with CUDA': 'Bad PyTorch version, please reinstall PyTorch with cuda.',
+                  'invalid header or archive is corrupted': 'The model file is corrupted, please download again.',
+                  'no NVIDIA driver': 'Found no NVIDIA driver, please install the latest driver.',
+                  'CUDA out of memory': 'VRAM is not enough, please reduce stored layers or use a lower precision in Configs page.',
+                  'Ninja is required to load C++ extensions': 'Failed to enable custom CUDA kernel, ninja is required to load C++ extensions. You may be using the CPU version of PyTorch, please reinstall PyTorch with CUDA. Or if you are using a custom Python interpreter, you must compile the CUDA kernel by yourself or disable Custom CUDA kernel acceleration.'
+                };
+                const matchedError = Object.entries(errorsMap).find(([key, _]) => error.includes(key));
+                const message = matchedError ? t(matchedError[1]) : error;
+                toast(t('Failed to switch model') + ' - ' + message, { autoClose: 5000, type: 'error' });
               }
-            }).catch(() => {
-              commonStore.setModelStatus(ModelStatus.Offline);
-              toast(t('Failed to switch model'), { type: 'error' });
+            }).catch((e) => {
+              commonStore.setStatus({ status: ModelStatus.Offline });
+              toast(t('Failed to switch model') + ' - ' + (e.message || e), { type: 'error' });
             });
           }
         }).catch(() => {
           if (timeoutCount <= 0) {
             clearInterval(intervalId);
-            commonStore.setModelStatus(ModelStatus.Offline);
+            commonStore.setStatus({ status: ModelStatus.Offline });
           }
         });
 
         timeoutCount--;
       }, 1000);
     } else {
-      commonStore.setModelStatus(ModelStatus.Offline);
+      commonStore.setStatus({ status: ModelStatus.Offline });
       exit();
     }
   };
 
   const onClick = async (e: any) => {
-    if (commonStore.modelStatus === ModelStatus.Offline)
+    if (commonStore.status.status === ModelStatus.Offline)
       await onClickRun?.(e);
     await onClickMainButton();
   };
 
   return (iconMode ?
-      <ToolTipButton disabled={commonStore.modelStatus === ModelStatus.Starting}
-        icon={iconModeButtonIcon[commonStore.modelStatus]}
-        desc={t(mainButtonText[commonStore.modelStatus])}
+      <ToolTipButton disabled={commonStore.status.status === ModelStatus.Starting}
+        icon={iconModeButtonIcon[commonStore.status.status]}
+        desc={t(mainButtonText[commonStore.status.status])}
         size="small" onClick={onClick} />
       :
-      <Button disabled={commonStore.modelStatus === ModelStatus.Starting} appearance="primary" size="large"
+      <Button disabled={commonStore.status.status === ModelStatus.Starting} appearance="primary" size="large"
         onClick={onClick}>
-        {t(mainButtonText[commonStore.modelStatus])}
+        {t(mainButtonText[commonStore.status.status])}
       </Button>
   );
 });

frontend/src/components/ToolTipButton.tsx

@@ -1,29 +1,35 @@
-import React, { FC, MouseEventHandler, ReactElement } from 'react';
+import React, { CSSProperties, FC, MouseEventHandler, ReactElement } from 'react';
 import { Button, Tooltip } from '@fluentui/react-components';
 
 export const ToolTipButton: FC<{
   text?: string | null,
   desc: string,
   icon?: ReactElement,
+  className?: string,
+  style?: CSSProperties,
   size?: 'small' | 'medium' | 'large',
   shape?: 'rounded' | 'circular' | 'square';
   appearance?: 'secondary' | 'primary' | 'outline' | 'subtle' | 'transparent';
   disabled?: boolean,
   onClick?: MouseEventHandler
+  showDelay?: number,
 }> = ({
   text,
   desc,
   icon,
+  className,
+  style,
   size,
   shape,
   appearance,
   disabled,
-  onClick
+  onClick,
+  showDelay = 0
 }) => {
   return (
-    <Tooltip content={desc} showDelay={0} hideDelay={0} relationship="label">
-      <Button disabled={disabled} icon={icon} onClick={onClick} size={size} shape={shape}
-        appearance={appearance}>{text}</Button>
+    <Tooltip content={desc} showDelay={showDelay} hideDelay={0} relationship="label">
+      <Button style={style} className={className} disabled={disabled} icon={icon} onClick={onClick} size={size}
+        shape={shape} appearance={appearance}>{text}</Button>
     </Tooltip>
   );
 };

frontend/src/components/WorkHeader.tsx

@@ -0,0 +1,46 @@
+import React, { FC } from 'react';
+import { observer } from 'mobx-react-lite';
+import { Divider, PresenceBadge, Text } from '@fluentui/react-components';
+import commonStore, { ModelStatus } from '../stores/commonStore';
+import { ConfigSelector } from './ConfigSelector';
+import { RunButton } from './RunButton';
+import { PresenceBadgeStatus } from '@fluentui/react-badge';
+import { useTranslation } from 'react-i18next';
+
+const statusText = {
+  [ModelStatus.Offline]: 'Offline',
+  [ModelStatus.Starting]: 'Starting',
+  [ModelStatus.Loading]: 'Loading',
+  [ModelStatus.Working]: 'Working'
+};
+
+const badgeStatus: { [modelStatus: number]: PresenceBadgeStatus } = {
+  [ModelStatus.Offline]: 'unknown',
+  [ModelStatus.Starting]: 'away',
+  [ModelStatus.Loading]: 'away',
+  [ModelStatus.Working]: 'available'
+};
+
+export const WorkHeader: FC = observer(() => {
+  const { t } = useTranslation();
+  const port = commonStore.getCurrentModelConfig().apiParameters.apiPort;
+
+  return (
+    <div className="flex flex-col gap-1">
+      <div className="flex justify-between items-center">
+        <div className="flex items-center gap-2">
+          <PresenceBadge status={badgeStatus[commonStore.status.status]} />
+          <Text size={100}>{t('Model Status') + ': ' + t(statusText[commonStore.status.status])}</Text>
+        </div>
+        <div className="flex items-center gap-2">
+          <ConfigSelector size="small" />
+          <RunButton iconMode />
+        </div>
+      </div>
+      <Text size={100}>
+        {t('This tool\'s API is compatible with OpenAI API. It can be used with any ChatGPT tool you like. Go to the settings of some ChatGPT tool, replace the \'https://api.openai.com\' part in the API address with \'') + `http://127.0.0.1:${port}` + '\'.'}
+      </Text>
+      <Divider style={{ flexGrow: 0 }} />
+    </div>
+  );
+});

frontend/src/main.tsx

@@ -6,6 +6,7 @@ import App from './App';
 import { HashRouter } from 'react-router-dom';
 import { startup } from './startup';
 import './_locales/i18n-react';
+import { WindowShow } from '../wailsjs/runtime';
 
 startup().then(() => {
   const container = document.getElementById('root');
@@ -17,4 +18,7 @@ startup().then(() => {
       <App />
     </HashRouter>
   );
+
+  // force display the window
+  WindowShow();
 });

frontend/src/pages/Chat.tsx

@@ -1,26 +1,31 @@
-import React, { FC, useEffect, useRef, useState } from 'react';
+import React, { FC, useCallback, useEffect, useRef, useState } from 'react';
 import { useTranslation } from 'react-i18next';
-import { RunButton } from '../components/RunButton';
-import { Avatar, Divider, PresenceBadge, Text, Textarea } from '@fluentui/react-components';
+import { Avatar, Button, Menu, MenuPopover, MenuTrigger, PresenceBadge, Textarea } from '@fluentui/react-components';
 import commonStore, { ModelStatus } from '../stores/commonStore';
 import { observer } from 'mobx-react-lite';
-import { PresenceBadgeStatus } from '@fluentui/react-badge';
-import { ConfigSelector } from '../components/ConfigSelector';
 import { v4 as uuid } from 'uuid';
 import classnames from 'classnames';
 import { fetchEventSource } from '@microsoft/fetch-event-source';
-import { ConversationPair, getConversationPairs, Record } from '../utils/get-conversation-pairs';
-import logo from '../../../build/appicon.png';
+import { KebabHorizontalIcon, PencilIcon, SyncIcon, TrashIcon } from '@primer/octicons-react';
+import logo from '../assets/images/logo.jpg';
 import MarkdownRender from '../components/MarkdownRender';
 import { ToolTipButton } from '../components/ToolTipButton';
-import { ArrowCircleUp28Regular, Delete28Regular, RecordStop28Regular } from '@fluentui/react-icons';
+import { ArrowCircleUp28Regular, Delete28Regular, RecordStop28Regular, Save28Regular } from '@fluentui/react-icons';
 import { CopyButton } from '../components/CopyButton';
 import { ReadButton } from '../components/ReadButton';
 import { toast } from 'react-toastify';
+import { WorkHeader } from '../components/WorkHeader';
+import { DialogButton } from '../components/DialogButton';
+import { OpenFileFolder, OpenSaveFileDialog } from '../../wailsjs/go/backend_golang/App';
+import { toastWithButton } from '../utils';
+import { PresetsButton } from './PresetsManager/PresetsButton';
+import { useMediaQuery } from 'usehooks-ts';
 
 export const userName = 'M E';
 export const botName = 'A I';
 
+export const welcomeUuid = 'welcome';
+
 export enum MessageType {
   Normal,
   Error
@@ -41,23 +46,151 @@ export type MessageItem = {
   done: boolean
 }
 
-export type Conversations = {
+export type Conversation = {
   [uuid: string]: MessageItem
 }
 
+export type Role = 'assistant' | 'user' | 'system';
+
+export type ConversationMessage = {
+  role: Role;
+  content: string;
+}
+
+let chatSseController: AbortController | null = null;
+
+const MoreUtilsButton: FC<{ uuid: string, setEditing: (editing: boolean) => void }> = observer(({
+  uuid,
+  setEditing
+}) => {
+  const { t } = useTranslation();
+  const [speaking, setSpeaking] = useState(false);
+
+  const messageItem = commonStore.conversation[uuid];
+
+  return <Menu>
+    <MenuTrigger disableButtonEnhancement>
+      <Button icon={<KebabHorizontalIcon />} size="small" appearance="subtle" />
+    </MenuTrigger>
+    <MenuPopover style={{ minWidth: 0 }}>
+      <CopyButton content={messageItem.content} showDelay={500} />
+      <ReadButton content={messageItem.content} inSpeaking={speaking} showDelay={500} setSpeakingOuter={setSpeaking} />
+      <ToolTipButton desc={t('Edit')} icon={<PencilIcon />} showDelay={500} size="small" appearance="subtle"
+        onClick={() => {
+          setEditing(true);
+        }} />
+      <ToolTipButton desc={t('Delete')} icon={<TrashIcon />} showDelay={500} size="small" appearance="subtle"
+        onClick={() => {
+          commonStore.conversationOrder.splice(commonStore.conversationOrder.indexOf(uuid), 1);
+          delete commonStore.conversation[uuid];
+        }} />
+    </MenuPopover>
+  </Menu>;
+});
+
+const ChatMessageItem: FC<{
+  uuid: string, onSubmit: (message: string | null, answerId: string | null,
+    startUuid: string | null, endUuid: string | null, includeEndUuid: boolean) => void
+}> = observer(({ uuid, onSubmit }) => {
+  const { t } = useTranslation();
+  const [editing, setEditing] = useState(false);
+  const textareaRef = useRef<HTMLTextAreaElement>(null);
+  const messageItem = commonStore.conversation[uuid];
+
+  console.log(uuid);
+
+  const setEditingInner = (editing: boolean) => {
+    setEditing(editing);
+    if (editing) {
+      setTimeout(() => {
+        const textarea = textareaRef.current;
+        if (textarea) {
+          textarea.focus();
+          textarea.selectionStart = textarea.value.length;
+          textarea.selectionEnd = textarea.value.length;
+          textarea.style.height = textarea.scrollHeight + 'px';
+        }
+      });
+    }
+  };
+
+  return <div
+    className={classnames(
+      'flex gap-2 mb-2 overflow-hidden',
+      messageItem.side === 'left' ? 'flex-row' : 'flex-row-reverse'
+    )}
+    onMouseEnter={() => {
+      const utils = document.getElementById('utils-' + uuid);
+      if (utils) utils.classList.remove('invisible');
+    }}
+    onMouseLeave={() => {
+      const utils = document.getElementById('utils-' + uuid);
+      if (utils) utils.classList.add('invisible');
+    }}
+  >
+    <Avatar
+      color={messageItem.color}
+      name={messageItem.sender}
+      image={(commonStore.activePreset && messageItem.sender === botName) ? { src: commonStore.activePreset.avatarImg } : messageItem.avatarImg ? { src: messageItem.avatarImg } : undefined}
+    />
+    <div
+      className={classnames(
+        'flex p-2 rounded-lg overflow-hidden',
+        editing ? 'grow' : '',
+        messageItem.side === 'left' ? 'bg-gray-200' : 'bg-blue-500',
+        messageItem.side === 'left' ? 'text-gray-600' : 'text-white'
+      )}
+    >
+      {!editing ?
+        <MarkdownRender>{messageItem.content}</MarkdownRender> :
+        <Textarea ref={textareaRef}
+          className="grow"
+          style={{ minWidth: 0 }}
+          value={messageItem.content}
+          onChange={(e) => {
+            messageItem.content = e.target.value;
+          }}
+          onBlur={() => {
+            setEditingInner(false);
+          }} />}
+    </div>
+    <div className="flex flex-col gap-1 items-start">
+      <div className="grow" />
+      {(messageItem.type === MessageType.Error || !messageItem.done) &&
+        <PresenceBadge size="extra-small" status={
+          messageItem.type === MessageType.Error ? 'busy' : 'away'
+        } />
+      }
+      <div className="flex invisible" id={'utils-' + uuid}>
+        {
+          messageItem.sender === botName && uuid !== welcomeUuid &&
+          <ToolTipButton desc={t('Retry')} size="small" appearance="subtle"
+            icon={<SyncIcon />} onClick={() => {
+            onSubmit(null, uuid, null, uuid, false);
+          }} />
+        }
+        <ToolTipButton desc={t('Edit')} icon={<PencilIcon />} size="small" appearance="subtle"
+          onClick={() => {
+            setEditingInner(true);
+          }} />
+        <MoreUtilsButton uuid={uuid} setEditing={setEditingInner} />
+      </div>
+    </div>
+  </div>;
+});
+
 const ChatPanel: FC = observer(() => {
   const { t } = useTranslation();
-  const [message, setMessage] = useState('');
   const bodyRef = useRef<HTMLDivElement>(null);
   const inputRef = useRef<HTMLTextAreaElement>(null);
+  const mq = useMediaQuery('(min-width: 640px)');
   const port = commonStore.getCurrentModelConfig().apiParameters.apiPort;
-  const sseControllerRef = useRef<AbortController | null>(null);
 
   let lastMessageId: string;
   let generating: boolean = false;
-  if (commonStore.conversationsOrder.length > 0) {
-    lastMessageId = commonStore.conversationsOrder[commonStore.conversationsOrder.length - 1];
-    const lastMessage = commonStore.conversations[lastMessageId];
+  if (commonStore.conversationOrder.length > 0) {
+    lastMessageId = commonStore.conversationOrder[commonStore.conversationOrder.length - 1];
+    const lastMessage = commonStore.conversation[lastMessageId];
     if (lastMessage.sender === botName)
       generating = !lastMessage.done;
   }
@@ -65,19 +198,20 @@ const ChatPanel: FC = observer(() => {
   useEffect(() => {
     if (inputRef.current)
       inputRef.current.style.maxHeight = '16rem';
+    scrollToBottom();
   }, []);
 
   useEffect(() => {
-    if (commonStore.conversationsOrder.length === 0) {
-      commonStore.setConversationsOrder(['welcome']);
-      commonStore.setConversations({
-        'welcome': {
+    if (commonStore.conversationOrder.length === 0) {
+      commonStore.setConversationOrder([welcomeUuid]);
+      commonStore.setConversation({
+        [welcomeUuid]: {
           sender: botName,
           type: MessageType.Normal,
           color: 'colorful',
           avatarImg: logo,
           time: new Date().toISOString(),
-          content: t('Hello! I\'m RWKV, an open-source and commercially available large language model.'),
+          content: t('Hello! I\'m RWKV, an open-source and commercially usable large language model.'),
           side: 'left',
           done: true
         }
@@ -94,49 +228,59 @@ const ChatPanel: FC = observer(() => {
     e.stopPropagation();
     if (e.type === 'click' || (e.keyCode === 13 && !e.shiftKey)) {
       e.preventDefault();
-      if (commonStore.modelStatus === ModelStatus.Offline) {
+      if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl) {
         toast(t('Please click the button in the top right corner to start the model'), { type: 'warning' });
         return;
       }
-      if (!message) return;
-      onSubmit(message);
-      setMessage('');
+      if (!commonStore.currentInput) return;
+      onSubmit(commonStore.currentInput);
+      commonStore.setCurrentInput('');
     }
   };
 
-  const onSubmit = (message: string) => {
-    const newId = uuid();
-    commonStore.conversations[newId] = {
-      sender: userName,
-      type: MessageType.Normal,
-      color: 'brand',
-      time: new Date().toISOString(),
-      content: message,
-      side: 'right',
-      done: true
-    };
-    commonStore.setConversations(commonStore.conversations);
-    commonStore.conversationsOrder.push(newId);
-    commonStore.setConversationsOrder(commonStore.conversationsOrder);
+  // if message is not null, create a user message;
+  // if answerId is not null, override the answer with new response;
+  // if startUuid is null, start generating api body messages from first message;
+  // if endUuid is null, generate api body messages until last message;
+  const onSubmit = useCallback((message: string | null = null, answerId: string | null = null,
+    startUuid: string | null = null, endUuid: string | null = null, includeEndUuid: boolean = false) => {
+    if (message) {
+      const newId = uuid();
+      commonStore.conversation[newId] = {
+        sender: userName,
+        type: MessageType.Normal,
+        color: 'brand',
+        time: new Date().toISOString(),
+        content: message,
+        side: 'right',
+        done: true
+      };
+      commonStore.setConversation(commonStore.conversation);
+      commonStore.conversationOrder.push(newId);
+      commonStore.setConversationOrder(commonStore.conversationOrder);
+    }
 
-    const records: Record[] = [];
-    commonStore.conversationsOrder.forEach((uuid, index) => {
-      const conversation = commonStore.conversations[uuid];
-      if (conversation.done && conversation.type === MessageType.Normal && conversation.sender === botName) {
-        if (index > 0) {
-          const questionId = commonStore.conversationsOrder[index - 1];
-          const question = commonStore.conversations[questionId];
-          if (question.done && question.type === MessageType.Normal && question.sender === userName) {
-            records.push({ question: question.content, answer: conversation.content });
-          }
-        }
+    let startIndex = startUuid ? commonStore.conversationOrder.indexOf(startUuid) : 0;
+    let endIndex = endUuid ? (commonStore.conversationOrder.indexOf(endUuid) + (includeEndUuid ? 1 : 0)) : commonStore.conversationOrder.length;
+    let targetRange = commonStore.conversationOrder.slice(startIndex, endIndex);
+
+    const messages: ConversationMessage[] = [];
+    targetRange.forEach((uuid, index) => {
+      if (uuid === welcomeUuid)
+        return;
+      const messageItem = commonStore.conversation[uuid];
+      if (messageItem.done && messageItem.type === MessageType.Normal && messageItem.sender === userName) {
+        messages.push({ role: 'user', content: messageItem.content });
+      } else if (messageItem.done && messageItem.type === MessageType.Normal && messageItem.sender === botName) {
+        messages.push({ role: 'assistant', content: messageItem.content });
       }
     });
-    const messages = getConversationPairs(records, false);
-    (messages as ConversationPair[]).push({ role: 'user', content: message });
 
-    const answerId = uuid();
-    commonStore.conversations[answerId] = {
+    if (answerId === null) {
+      answerId = uuid();
+      commonStore.conversationOrder.push(answerId);
+    }
+    commonStore.conversation[answerId] = {
       sender: botName,
       type: MessageType.Normal,
       color: 'colorful',
@@ -146,33 +290,34 @@ const ChatPanel: FC = observer(() => {
       side: 'left',
       done: false
     };
-    commonStore.setConversations(commonStore.conversations);
-    commonStore.conversationsOrder.push(answerId);
-    commonStore.setConversationsOrder(commonStore.conversationsOrder);
+    commonStore.setConversation(commonStore.conversation);
+    commonStore.setConversationOrder(commonStore.conversationOrder);
     setTimeout(scrollToBottom);
     let answer = '';
-    sseControllerRef.current = new AbortController();
-    fetchEventSource(`http://127.0.0.1:${port}/chat/completions`, // https://api.openai.com/v1/chat/completions || http://127.0.0.1:${port}/chat/completions
+    chatSseController = new AbortController();
+    fetchEventSource( // https://api.openai.com/v1/chat/completions || http://127.0.0.1:${port}/chat/completions
+      commonStore.settings.apiUrl ?
+        commonStore.settings.apiUrl + '/v1/chat/completions' :
+        `http://127.0.0.1:${port}/chat/completions`,
       {
         method: 'POST',
         headers: {
           'Content-Type': 'application/json',
-          Authorization: `Bearer sk-`
+          Authorization: `Bearer ${commonStore.settings.apiKey}`
         },
         body: JSON.stringify({
           messages,
           stream: true,
-          model: 'gpt-3.5-turbo'
+          model: commonStore.settings.apiChatModelName // 'gpt-3.5-turbo'
         }),
-        signal: sseControllerRef.current?.signal,
+        signal: chatSseController?.signal,
         onmessage(e) {
-          console.log('sse message', e);
           scrollToBottom();
           if (e.data === '[DONE]') {
-            commonStore.conversations[answerId].done = true;
-            commonStore.conversations[answerId].content = commonStore.conversations[answerId].content.trim();
-            commonStore.setConversations(commonStore.conversations);
-            commonStore.setConversationsOrder([...commonStore.conversationsOrder]);
+            commonStore.conversation[answerId!].done = true;
+            commonStore.conversation[answerId!].content = commonStore.conversation[answerId!].content.trim();
+            commonStore.setConversation(commonStore.conversation);
+            commonStore.setConversationOrder([...commonStore.conversationOrder]);
             return;
           }
           let data;
@@ -184,148 +329,116 @@ const ChatPanel: FC = observer(() => {
           }
           if (data.choices && Array.isArray(data.choices) && data.choices.length > 0) {
             answer += data.choices[0]?.delta?.content || '';
-            commonStore.conversations[answerId].content = answer;
-            commonStore.setConversations(commonStore.conversations);
-            commonStore.setConversationsOrder([...commonStore.conversationsOrder]);
+            commonStore.conversation[answerId!].content = answer;
+            commonStore.setConversation(commonStore.conversation);
+            commonStore.setConversationOrder([...commonStore.conversationOrder]);
+          }
+        },
+        async onopen(response) {
+          if (response.status !== 200) {
+            commonStore.conversation[answerId!].content += '\n[ERROR]\n```\n' + response.statusText + '\n' + (await response.text()) + '\n```';
+            commonStore.setConversation(commonStore.conversation);
+            commonStore.setConversationOrder([...commonStore.conversationOrder]);
+            setTimeout(scrollToBottom);
           }
         },
         onclose() {
           console.log('Connection closed');
         },
         onerror(err) {
-          commonStore.conversations[answerId].type = MessageType.Error;
-          commonStore.conversations[answerId].done = true;
-          commonStore.setConversations(commonStore.conversations);
-          commonStore.setConversationsOrder([...commonStore.conversationsOrder]);
+          commonStore.conversation[answerId!].type = MessageType.Error;
+          commonStore.conversation[answerId!].done = true;
+          err = err.message || err;
+          if (err && !err.includes('ReadableStreamDefaultReader'))
+            commonStore.conversation[answerId!].content += '\n[ERROR]\n```\n' + err + '\n```';
+          commonStore.setConversation(commonStore.conversation);
+          commonStore.setConversationOrder([...commonStore.conversationOrder]);
+          setTimeout(scrollToBottom);
           throw err;
         }
       });
-  };
+  }, []);
 
   return (
     <div className="flex flex-col w-full grow gap-4 pt-4 overflow-hidden">
       <div ref={bodyRef} className="grow overflow-y-scroll overflow-x-hidden pr-2">
-        {commonStore.conversationsOrder.map((uuid, index) => {
-          const conversation = commonStore.conversations[uuid];
-          return <div
-            key={uuid}
-            className={classnames(
-              'flex gap-2 mb-2 overflow-hidden',
-              conversation.side === 'left' ? 'flex-row' : 'flex-row-reverse'
-            )}
-            onMouseEnter={() => {
-              const utils = document.getElementById('utils-' + uuid);
-              if (utils) utils.classList.remove('invisible');
-            }}
-            onMouseLeave={() => {
-              const utils = document.getElementById('utils-' + uuid);
-              if (utils) utils.classList.add('invisible');
-            }}
-          >
-            <Avatar
-              color={conversation.color}
-              name={conversation.sender}
-              image={conversation.avatarImg ? { src: conversation.avatarImg } : undefined}
-            />
-            <div
-              className={classnames(
-                'p-2 rounded-lg overflow-hidden',
-                conversation.side === 'left' ? 'bg-gray-200' : 'bg-blue-500',
-                conversation.side === 'left' ? 'text-gray-600' : 'text-white'
-              )}
-            >
-              <MarkdownRender>{conversation.content}</MarkdownRender>
-            </div>
-            <div className="flex flex-col gap-1 items-start">
-              <div className="grow" />
-              {(conversation.type === MessageType.Error || !conversation.done) &&
-                <PresenceBadge size="extra-small" status={
-                  conversation.type === MessageType.Error ? 'busy' : 'away'
-                } />
-              }
-              <div className="flex invisible" id={'utils-' + uuid}>
-                <ReadButton content={conversation.content} />
-                <CopyButton content={conversation.content} />
-              </div>
-            </div>
-          </div>;
-        })}
+        {commonStore.conversationOrder.map(uuid =>
+          <ChatMessageItem key={uuid} uuid={uuid} onSubmit={onSubmit} />
+        )}
       </div>
-      <div className="flex items-end gap-2">
-        <ToolTipButton desc={t('Clear')}
+      <div className={classnames('flex items-end', mq ? 'gap-2' : '')}>
+        <PresetsButton tab="Chat" size={mq ? 'large' : 'small'} shape="circular" appearance="subtle" />
+        <DialogButton tooltip={t('Clear')}
           icon={<Delete28Regular />}
-          size="large" shape="circular" appearance="subtle"
-          onClick={(e) => {
+          size={mq ? 'large' : 'small'} shape="circular" appearance="subtle" title={t('Clear')}
+          contentText={t('Are you sure you want to clear the conversation? It cannot be undone.')}
+          onConfirm={() => {
             if (generating)
-              sseControllerRef.current?.abort();
-            commonStore.setConversations({});
-            commonStore.setConversationsOrder([]);
-          }}
-        />
+              chatSseController?.abort();
+            commonStore.setConversation({});
+            commonStore.setConversationOrder([]);
+          }} />
         <Textarea
           ref={inputRef}
+          style={{ minWidth: 0 }}
           className="grow"
           resize="vertical"
           placeholder={t('Type your message here')!}
-          value={message}
-          onChange={(e) => setMessage(e.target.value)}
+          value={commonStore.currentInput}
+          onChange={(e) => commonStore.setCurrentInput(e.target.value)}
           onKeyDown={handleKeyDownOrClick}
         />
         <ToolTipButton desc={generating ? t('Stop') : t('Send')}
           icon={generating ? <RecordStop28Regular /> : <ArrowCircleUp28Regular />}
-          size="large" shape="circular" appearance="subtle"
+          size={mq ? 'large' : 'small'} shape="circular" appearance="subtle"
           onClick={(e) => {
             if (generating) {
-              sseControllerRef.current?.abort();
+              chatSseController?.abort();
               if (lastMessageId) {
-                commonStore.conversations[lastMessageId].type = MessageType.Error;
-                commonStore.conversations[lastMessageId].done = true;
-                commonStore.setConversations(commonStore.conversations);
-                commonStore.setConversationsOrder([...commonStore.conversationsOrder]);
+                commonStore.conversation[lastMessageId].type = MessageType.Error;
+                commonStore.conversation[lastMessageId].done = true;
+                commonStore.setConversation(commonStore.conversation);
+                commonStore.setConversationOrder([...commonStore.conversationOrder]);
               }
             } else {
               handleKeyDownOrClick(e);
             }
           }} />
+        <ToolTipButton desc={t('Save')}
+          icon={<Save28Regular />}
+          size={mq ? 'large' : 'small'} shape="circular" appearance="subtle"
+          onClick={() => {
+            let savedContent: string = '';
+            const isWorldModel = commonStore.getCurrentModelConfig().modelParameters.modelName.toLowerCase().includes('world');
+            const user = isWorldModel ? 'Question' : 'Bob';
+            const bot = isWorldModel ? 'Answer' : 'Alice';
+            commonStore.conversationOrder.forEach((uuid) => {
+              if (uuid === welcomeUuid)
+                return;
+              const messageItem = commonStore.conversation[uuid];
+              if (messageItem.type !== MessageType.Error) {
+                savedContent += `${messageItem.sender === userName ? user : bot}: ${messageItem.content}\n\n`;
+              }
+            });
+
+            OpenSaveFileDialog('*.md', 'conversation.md', savedContent).then((path) => {
+              if (path)
+                toastWithButton(t('Conversation Saved'), t('Open'), () => {
+                  OpenFileFolder(path, false);
+                });
+            }).catch(e => {
+              toast(t('Error') + ' - ' + (e.message || e), { type: 'error', autoClose: 2500 });
+            });
+          }} />
       </div>
     </div>
   );
 });
 
-const statusText = {
-  [ModelStatus.Offline]: 'Offline',
-  [ModelStatus.Starting]: 'Starting',
-  [ModelStatus.Loading]: 'Loading',
-  [ModelStatus.Working]: 'Working'
-};
-
-const badgeStatus: { [modelStatus: number]: PresenceBadgeStatus } = {
-  [ModelStatus.Offline]: 'unknown',
-  [ModelStatus.Starting]: 'away',
-  [ModelStatus.Loading]: 'away',
-  [ModelStatus.Working]: 'available'
-};
-
 export const Chat: FC = observer(() => {
-  const { t } = useTranslation();
-  const port = commonStore.getCurrentModelConfig().apiParameters.apiPort;
-
   return (
     <div className="flex flex-col gap-1 p-2 h-full overflow-hidden">
-      <div className="flex justify-between items-center">
-        <div className="flex items-center gap-2">
-          <PresenceBadge status={badgeStatus[commonStore.modelStatus]} />
-          <Text size={100}>{t('Model Status') + ': ' + t(statusText[commonStore.modelStatus])}</Text>
-        </div>
-        <div className="flex items-center gap-2">
-          <ConfigSelector size="small" />
-          <RunButton iconMode />
-        </div>
-      </div>
-      <Text size={100}>
-        {t('This tool\'s API is compatible with OpenAI API. It can be used with any ChatGPT tool you like. Go to the settings of some ChatGPT tool, replace the \'https://api.openai.com\' part in the API address with \'') + `http://127.0.0.1:${port}` + '\'.'}
-      </Text>
-      <Divider style={{ flexGrow: 0 }} />
+      <WorkHeader />
       <ChatPanel />
     </div>
   );

frontend/src/pages/Completion.tsx

@@ -0,0 +1,412 @@
+import React, { FC, useEffect, useRef } from 'react';
+import { observer } from 'mobx-react-lite';
+import { WorkHeader } from '../components/WorkHeader';
+import { Button, Dropdown, Input, Option, Textarea } from '@fluentui/react-components';
+import { Labeled } from '../components/Labeled';
+import { ValuedSlider } from '../components/ValuedSlider';
+import { useTranslation } from 'react-i18next';
+import { ApiParameters } from './Configs';
+import commonStore, { ModelStatus } from '../stores/commonStore';
+import { fetchEventSource } from '@microsoft/fetch-event-source';
+import { toast } from 'react-toastify';
+import { DialogButton } from '../components/DialogButton';
+import { PresetsButton } from './PresetsManager/PresetsButton';
+import { ToolTipButton } from '../components/ToolTipButton';
+import { ArrowSync20Regular } from '@fluentui/react-icons';
+
+export type CompletionParams = Omit<ApiParameters, 'apiPort'> & {
+  stop: string,
+  injectStart: string,
+  injectEnd: string
+};
+
+export type CompletionPreset = {
+  name: string,
+  prompt: string,
+  params: CompletionParams
+}
+
+export const defaultPresets: CompletionPreset[] = [{
+  name: 'Writer',
+  prompt: 'The following is an epic science fiction masterpiece that is immortalized, with delicate descriptions and grand depictions of interstellar civilization wars.\nChapter 1.\n',
+  params: {
+    maxResponseToken: 500,
+    temperature: 1.2,
+    topP: 0.5,
+    presencePenalty: 0.4,
+    frequencyPenalty: 0.4,
+    stop: '\\n\\nBob',
+    injectStart: '',
+    injectEnd: ''
+  }
+}, {
+  name: 'Translator',
+  prompt: 'Translate this into Chinese.\n\nEnglish: What rooms do you have available?',
+  params: {
+    maxResponseToken: 500,
+    temperature: 1,
+    topP: 0.3,
+    presencePenalty: 0.4,
+    frequencyPenalty: 0.4,
+    stop: '\\nEnglish',
+    injectStart: '\\nChinese: ',
+    injectEnd: '\\nEnglish: '
+  }
+}, {
+  name: 'Catgirl',
+  prompt: 'The following is a conversation between a cat girl and her owner. The cat girl is a humanized creature that behaves like a cat but is humanoid. At the end of each sentence in the dialogue, she will add \"Meow~\". In the following content, Bob represents the owner and Alice represents the cat girl.\n\nBob: Hello.\n\nAlice: I\'m here, meow~.\n\nBob: Can you tell jokes?',
+  params: {
+    maxResponseToken: 500,
+    temperature: 1.2,
+    topP: 0.5,
+    presencePenalty: 0.4,
+    frequencyPenalty: 0.4,
+    stop: '\\n\\nBob',
+    injectStart: '\\n\\nAlice: ',
+    injectEnd: '\\n\\nBob: '
+  }
+}, {
+  name: 'Chinese Kongfu',
+  prompt: 'Bob: 请你扮演一个文本冒险游戏，我是游戏主角。这是一个玄幻修真世界，有四大门派。我输入我的行动，请你显示行动结果，并具体描述环境。我的第一个行动是“醒来”，请开始故事。',
+  params: {
+    maxResponseToken: 500,
+    temperature: 1.1,
+    topP: 0.7,
+    presencePenalty: 0.3,
+    frequencyPenalty: 0.3,
+    stop: '\\n\\nBob',
+    injectStart: '\\n\\nAlice: ',
+    injectEnd: '\\n\\nBob: '
+  }
+}, {
+// }, {
+//   name: 'Explain Code',
+//   prompt: 'export async function startup() {\n  FileExists(\'cache.json\').then((exists) => {\n    if (exists)\n      downloadProgramFiles();\n    else {\n      deleteDynamicProgramFiles().then(downloadProgramFiles);\n    }\n  });\n  EventsOn(\'downloadList\', (data) => {\n    if (data)\n      commonStore.setDownloadList(data);\n  });\n\n  initCache().then(initRemoteText);\n\n  await initConfig();\n\n  if (commonStore.settings.autoUpdatesCheck) // depends on config settings\n    checkUpdate();\n\n  getStatus(1000).then(status => { // depends on config api port\n    if (status)\n      commonStore.setStatus(status);\n  });\n}\n\n\"\"\"\nHere\'s what the above code is doing, explained in a concise way:\n',
+//   params: {
+//     maxResponseToken: 500,
+//     temperature: 0.8,
+//     topP: 0.7,
+//     presencePenalty: 0.4,
+//     frequencyPenalty: 0.4,
+//     stop: '\\n\\n',
+//     injectStart: '',
+//     injectEnd: ''
+//   }
+// }, {
+  name: 'Werewolf',
+  prompt: 'There is currently a game of Werewolf with six players, including a Seer (who can check identities at night), two Werewolves (who can choose someone to kill at night), a Bodyguard (who can choose someone to protect at night), two Villagers (with no special abilities), and a game host. Bob will play as Player 1, Alice will play as Players 2-6 and the game host, and they will begin playing together. Every night, the host will ask Bob for his action and simulate the actions of the other players. During the day, the host will oversee the voting process and ask Bob for his vote. \n\nAlice: Next, I will act as the game host and assign everyone their roles, including randomly assigning yours. Then, I will simulate the actions of Players 2-6 and let you know what happens each day. Based on your assigned role, you can tell me your actions and I will let you know the corresponding results each day.\n\nBob: Okay, I understand. Let\'s begin. Please assign me a role. Am I the Seer, Werewolf, Villager, or Bodyguard?\n\nAlice: You are the Seer. Now that night has fallen, please choose a player to check his identity.\n\nBob: Tonight, I want to check Player 2 and find out his role.',
+  params: {
+    maxResponseToken: 500,
+    temperature: 1.2,
+    topP: 0.4,
+    presencePenalty: 0.5,
+    frequencyPenalty: 0.5,
+    stop: '\\n\\nBob',
+    injectStart: '\\n\\nAlice: ',
+    injectEnd: '\\n\\nBob: '
+  }
+}, {
+  name: 'Instruction',
+  prompt: 'Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n# Instruction:\nWrite a story using the following information\n\n# Input:\nA man named Alex chops a tree down\n\n# Response:\n',
+  params: {
+    maxResponseToken: 500,
+    temperature: 1.2,
+    topP: 0.5,
+    presencePenalty: 0.4,
+    frequencyPenalty: 0.4,
+    stop: '',
+    injectStart: '',
+    injectEnd: ''
+  }
+}, {
+  name: 'Blank',
+  prompt: '',
+  params: {
+    maxResponseToken: 500,
+    temperature: 1,
+    topP: 0.5,
+    presencePenalty: 0.4,
+    frequencyPenalty: 0.4,
+    stop: '',
+    injectStart: '',
+    injectEnd: ''
+  }
+}];
+
+let completionSseController: AbortController | null = null;
+
+const CompletionPanel: FC = observer(() => {
+  const { t } = useTranslation();
+  const inputRef = useRef<HTMLTextAreaElement>(null);
+  const port = commonStore.getCurrentModelConfig().apiParameters.apiPort;
+
+  const scrollToBottom = () => {
+    if (inputRef.current)
+      inputRef.current.scrollTop = inputRef.current.scrollHeight;
+  };
+
+  useEffect(() => {
+    if (inputRef.current)
+      inputRef.current.style.height = '100%';
+    scrollToBottom();
+  }, []);
+
+  const setPreset = (preset: CompletionPreset) => {
+    commonStore.setCompletionSubmittedPrompt(t(preset.prompt));
+    commonStore.setCompletionPreset({
+      ...preset,
+      prompt: t(preset.prompt)
+    });
+  };
+
+  if (!commonStore.completionPreset)
+    setPreset(defaultPresets[0]);
+
+  const name = commonStore.completionPreset!.name;
+
+  const prompt = commonStore.completionPreset!.prompt;
+  const setPrompt = (prompt: string) => {
+    commonStore.setCompletionPreset({
+      ...commonStore.completionPreset!,
+      prompt
+    });
+  };
+
+  const params = commonStore.completionPreset!.params;
+  const setParams = (newParams: Partial<CompletionParams>) => {
+    commonStore.setCompletionPreset({
+      ...commonStore.completionPreset!,
+      params: {
+        ...commonStore.completionPreset!.params,
+        ...newParams
+      }
+    });
+  };
+
+  const onSubmit = (prompt: string) => {
+    commonStore.setCompletionSubmittedPrompt(prompt);
+
+    if (commonStore.status.status === ModelStatus.Offline && !commonStore.settings.apiUrl) {
+      toast(t('Please click the button in the top right corner to start the model'), { type: 'warning' });
+      commonStore.setCompletionGenerating(false);
+      return;
+    }
+
+    prompt += params.injectStart.replaceAll('\\n', '\n');
+
+    let answer = '';
+    completionSseController = new AbortController();
+    fetchEventSource( // https://api.openai.com/v1/completions || http://127.0.0.1:${port}/completions
+      commonStore.settings.apiUrl ?
+        commonStore.settings.apiUrl + '/v1/completions' :
+        `http://127.0.0.1:${port}/completions`,
+      {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+          Authorization: `Bearer ${commonStore.settings.apiKey}`
+        },
+        body: JSON.stringify({
+          prompt,
+          stream: true,
+          model: commonStore.settings.apiCompletionModelName, // 'text-davinci-003'
+          max_tokens: params.maxResponseToken,
+          temperature: params.temperature,
+          top_p: params.topP,
+          presence_penalty: params.presencePenalty,
+          frequency_penalty: params.frequencyPenalty,
+          stop: params.stop.replaceAll('\\n', '\n') || undefined
+        }),
+        signal: completionSseController?.signal,
+        onmessage(e) {
+          scrollToBottom();
+          if (e.data === '[DONE]') {
+            commonStore.setCompletionGenerating(false);
+            return;
+          }
+          let data;
+          try {
+            data = JSON.parse(e.data);
+          } catch (error) {
+            console.debug('json error', error);
+            return;
+          }
+          if (data.choices && Array.isArray(data.choices) && data.choices.length > 0) {
+            answer += data.choices[0].text;
+            setPrompt(prompt + answer.trim() + params.injectEnd.replaceAll('\\n', '\n'));
+          }
+        },
+        async onopen(response) {
+          if (response.status !== 200) {
+            toast(response.statusText + '\n' + (await response.text()), {
+              type: 'error'
+            });
+          }
+        },
+        onclose() {
+          console.log('Connection closed');
+        },
+        onerror(err) {
+          err = err.message || err;
+          if (err && !err.includes('ReadableStreamDefaultReader'))
+            toast(err, {
+              type: 'error'
+            });
+          commonStore.setCompletionGenerating(false);
+          throw err;
+        }
+      });
+  };
+
+  return (
+    <div className="flex flex-col sm:flex-row gap-2 overflow-hidden grow">
+      <Textarea
+        ref={inputRef}
+        className="grow"
+        value={prompt}
+        onChange={(e) => {
+          commonStore.setCompletionSubmittedPrompt(e.target.value);
+          setPrompt(e.target.value);
+        }}
+      />
+      <div className="flex flex-col gap-1 max-h-48 sm:max-w-sm sm:max-h-full">
+        <div className="flex gap-2">
+          <Dropdown style={{ minWidth: 0 }}
+            className="grow"
+            value={t(commonStore.completionPreset!.name)!}
+            selectedOptions={[commonStore.completionPreset!.name]}
+            onOptionSelect={(_, data) => {
+              if (data.optionValue) {
+                setPreset(defaultPresets.find((preset) => preset.name === data.optionValue)!);
+              }
+            }}>
+            {
+              defaultPresets.map((preset) =>
+                <Option key={preset.name} value={preset.name}>{t(preset.name)!}</Option>)
+            }
+          </Dropdown>
+          <PresetsButton tab="Completion" />
+        </div>
+        <div className="flex flex-col gap-1 overflow-x-hidden overflow-y-auto p-1">
+          <Labeled flex breakline label={t('Max Response Token')}
+            desc={t('By default, the maximum number of tokens that can be answered in a single response, it can be changed by the user by specifying API parameters.')}
+            content={
+              <ValuedSlider value={params.maxResponseToken} min={100} max={8100}
+                step={400}
+                input
+                onChange={(e, data) => {
+                  setParams({
+                    maxResponseToken: data.value
+                  });
+                }} />
+            } />
+          <Labeled flex breakline label={t('Temperature')}
+            desc={t('Sampling temperature, it\'s like giving alcohol to a model, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.')}
+            content={
+              <ValuedSlider value={params.temperature} min={0} max={2} step={0.1}
+                input
+                onChange={(e, data) => {
+                  setParams({
+                    temperature: data.value
+                  });
+                }} />
+            } />
+          <Labeled flex breakline label={t('Top_P')}
+            desc={t('Just like feeding sedatives to the model. Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.')}
+            content={
+              <ValuedSlider value={params.topP} min={0} max={1} step={0.1} input
+                onChange={(e, data) => {
+                  setParams({
+                    topP: data.value
+                  });
+                }} />
+            } />
+          <Labeled flex breakline label={t('Presence Penalty')}
+            desc={t('Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics.')}
+            content={
+              <ValuedSlider value={params.presencePenalty} min={0} max={2}
+                step={0.1} input
+                onChange={(e, data) => {
+                  setParams({
+                    presencePenalty: data.value
+                  });
+                }} />
+            } />
+          <Labeled flex breakline label={t('Frequency Penalty')}
+            desc={t('Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim.')}
+            content={
+              <ValuedSlider value={params.frequencyPenalty} min={0} max={2}
+                step={0.1} input
+                onChange={(e, data) => {
+                  setParams({
+                    frequencyPenalty: data.value
+                  });
+                }} />
+            } />
+          <Labeled flex breakline label={t('Stop Sequences')}
+            desc={t('When this content appears in the response result, the generation will end.')}
+            content={
+              <Input value={params.stop}
+                onChange={(e, data) => {
+                  setParams({
+                    stop: data.value
+                  });
+                }} />
+            } />
+          <Labeled flex breakline label={t('Inject start text')}
+            desc={t('Before the response starts, inject this content.')}
+            content={
+              <Input value={params.injectStart}
+                onChange={(e, data) => {
+                  setParams({
+                    injectStart: data.value
+                  });
+                }} />
+            } />
+          <Labeled flex breakline label={t('Inject end text')}
+            desc={t('When response finished, inject this content.')}
+            content={
+              <Input value={params.injectEnd}
+                onChange={(e, data) => {
+                  setParams({
+                    injectEnd: data.value
+                  });
+                }} />
+            } />
+        </div>
+        <div className="grow" />
+        <div className="flex justify-between gap-2">
+          <ToolTipButton desc={t('Regenerate')} icon={<ArrowSync20Regular />} onClick={() => {
+            completionSseController?.abort();
+            commonStore.setCompletionGenerating(true);
+            setPrompt(commonStore.completionSubmittedPrompt);
+            onSubmit(commonStore.completionSubmittedPrompt);
+          }} />
+          <DialogButton className="grow" text={t('Reset')} title={t('Reset')}
+            contentText={t('Are you sure you want to reset this page? It cannot be undone.')}
+            onConfirm={() => {
+              setPreset(defaultPresets.find((preset) => preset.name === name)!);
+            }} />
+          <Button className="grow" appearance="primary" onClick={() => {
+            if (commonStore.completionGenerating) {
+              completionSseController?.abort();
+              commonStore.setCompletionGenerating(false);
+            } else {
+              commonStore.setCompletionGenerating(true);
+              onSubmit(prompt);
+            }
+          }}>{!commonStore.completionGenerating ? t('Generate') : t('Stop')}</Button>
+        </div>
+      </div>
+    </div>
+  );
+});
+
+export const Completion: FC = observer(() => {
+  return (
+    <div className="flex flex-col gap-1 p-2 h-full overflow-hidden">
+      <WorkHeader />
+      <CompletionPanel />
+    </div>
+  );
+});

frontend/src/pages/Configs.tsx

@@ -1,4 +1,4 @@
-import { Dropdown, Input, Label, Option, Select, Switch } from '@fluentui/react-components';
+import { Dropdown, Input, Label, Option, Select, Switch, Text } from '@fluentui/react-components';
 import { AddCircle20Regular, DataUsageSettings20Regular, Delete20Regular, Save20Regular } from '@fluentui/react-icons';
 import React, { FC } from 'react';
 import { Section } from '../components/Section';
@@ -14,10 +14,12 @@ import { useNavigate } from 'react-router';
 import { RunButton } from '../components/RunButton';
 import { updateConfig } from '../apis';
 import { ConvertModel, FileExists } from '../../wailsjs/go/backend_golang/App';
-import manifest from '../../../manifest.json';
 import { getStrategy, refreshLocalModels } from '../utils';
 import { useTranslation } from 'react-i18next';
 import { WindowShow } from '../../wailsjs/runtime/runtime';
+import strategyImg from '../assets/images/strategy.jpg';
+import strategyZhImg from '../assets/images/strategy_zh.jpg';
+import { ResetConfigsButton } from '../components/ResetConfigsButton';
 
 export type ApiParameters = {
   apiPort: number
@@ -28,7 +30,7 @@ export type ApiParameters = {
   frequencyPenalty: number;
 }
 
-export type Device = 'CPU' | 'CUDA';
+export type Device = 'CPU' | 'CUDA' | 'MPS' | 'Custom';
 export type Precision = 'fp16' | 'int8' | 'fp32';
 
 export type ModelParameters = {
@@ -38,7 +40,8 @@ export type ModelParameters = {
   precision: Precision;
   storedLayers: number;
   maxStoredLayers: number;
-  enableHighPrecisionForLastLayer: boolean;
+  useCustomCuda?: boolean;
+  customStrategy?: string;
 }
 
 export type ModelConfig = {
@@ -48,507 +51,11 @@ export type ModelConfig = {
   modelParameters: ModelParameters
 }
 
-export const defaultModelConfigs: ModelConfig[] = [
-  {
-    name: 'GPU-2G-1B5-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-1B5-v11-Eng99%-Other1%-20230425-ctx4096.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 4,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: true
-    }
-  },
-  {
-    name: 'GPU-4G-1B5-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-1B5-v11-Eng99%-Other1%-20230425-ctx4096.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-4G-3B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-3B-v11-Eng99%-Other1%-20230425-ctx4096.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 24,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: true
-    }
-  },
-  {
-    name: 'GPU-4G-3B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-3B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230429-ctx4096.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 24,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: true
-    }
-  },
-  {
-    name: 'GPU-4G-7B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11x-Eng99%-Other1%-20230429-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 8,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: true
-    }
-  },
-  {
-    name: 'GPU-4G-7B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230430-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 8,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: true
-    }
-  },
-  {
-    name: 'GPU-6G-1B5-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-1B5-v11-Eng99%-Other1%-20230425-ctx4096.pth',
-      device: 'CUDA',
-      precision: 'fp16',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-6G-3B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-3B-v11-Eng99%-Other1%-20230425-ctx4096.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-6G-3B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-3B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230429-ctx4096.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-6G-7B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11x-Eng99%-Other1%-20230429-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 18,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: true
-    }
-  },
-  {
-    name: 'GPU-6G-7B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230430-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 18,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: true
-    }
-  },
-  {
-    name: 'GPU-8G-3B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-3B-v11-Eng99%-Other1%-20230425-ctx4096.pth',
-      device: 'CUDA',
-      precision: 'fp16',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-8G-3B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-3B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230429-ctx4096.pth',
-      device: 'CUDA',
-      precision: 'fp16',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-10G-7B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11x-Eng99%-Other1%-20230429-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-10G-7B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230430-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-12G-7B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11x-Eng99%-Other1%-20230429-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'fp16',
-      storedLayers: 22,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-12G-7B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230430-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'fp16',
-      storedLayers: 22,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-16G-7B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11x-Eng99%-Other1%-20230429-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'fp16',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-16G-7B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230430-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'fp16',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-18G-14B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-14B-v11x-Eng99%-Other1%-20230501-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'int8',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'GPU-32G-14B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-14B-v11x-Eng99%-Other1%-20230501-ctx8192.pth',
-      device: 'CUDA',
-      precision: 'fp16',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'CPU-6G-1B5-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-1B5-v11-Eng99%-Other1%-20230425-ctx4096.pth',
-      device: 'CPU',
-      precision: 'fp32',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'CPU-12G-3B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-3B-v11-Eng99%-Other1%-20230425-ctx4096.pth',
-      device: 'CPU',
-      precision: 'fp32',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'CPU-12G-3B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-3B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230429-ctx4096.pth',
-      device: 'CPU',
-      precision: 'fp32',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'CPU-28G-7B-EN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11x-Eng99%-Other1%-20230429-ctx8192.pth',
-      device: 'CPU',
-      precision: 'fp32',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  },
-  {
-    name: 'CPU-28G-7B-CN',
-    apiParameters: {
-      apiPort: 8000,
-      maxResponseToken: 4100,
-      temperature: 1.2,
-      topP: 0.5,
-      presencePenalty: 0.4,
-      frequencyPenalty: 0.4
-    },
-    modelParameters: {
-      modelName: 'RWKV-4-Raven-7B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230430-ctx8192.pth',
-      device: 'CPU',
-      precision: 'fp32',
-      storedLayers: 41,
-      maxStoredLayers: 41,
-      enableHighPrecisionForLastLayer: false
-    }
-  }
-];
-
 export const Configs: FC = observer(() => {
   const { t } = useTranslation();
   const [selectedIndex, setSelectedIndex] = React.useState(commonStore.currentModelConfigIndex);
   const [selectedConfig, setSelectedConfig] = React.useState(commonStore.modelConfigs[selectedIndex]);
+  const [displayStrategyImg, setDisplayStrategyImg] = React.useState(false);
   const navigate = useNavigate();
   const port = selectedConfig.apiParameters.apiPort;
 
@@ -617,6 +124,10 @@ export const Configs: FC = observer(() => {
             commonStore.deleteModelConfig(selectedIndex);
             updateSelectedIndex(Math.min(selectedIndex, commonStore.modelConfigs.length - 1));
           }} />
+          <ResetConfigsButton afterConfirm={() => {
+            setSelectedIndex(0);
+            setSelectedConfig(commonStore.modelConfigs[0]);
+          }} />
           <ToolTipButton desc={t('Save Config')} icon={<Save20Regular />} onClick={onClickSave} />
         </div>
         <div className="flex items-center gap-4">
@@ -642,7 +153,7 @@ export const Configs: FC = observer(() => {
                         });
                       }} />
                   } />
-                <Labeled label={t('Max Response Token *')}
+                <Labeled label={t('Max Response Token') + ' *'}
                   desc={t('By default, the maximum number of tokens that can be answered in a single response, it can be changed by the user by specifying API parameters.')}
                   content={
                     <ValuedSlider value={selectedConfig.apiParameters.maxResponseToken} min={100} max={8100}
@@ -654,8 +165,8 @@ export const Configs: FC = observer(() => {
                         });
                       }} />
                   } />
-                <Labeled label={t('Temperature *')}
-                  desc={t('Sampling temperature, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.')}
+                <Labeled label={t('Temperature') + ' *'}
+                  desc={t('Sampling temperature, it\'s like giving alcohol to a model, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.')}
                   content={
                     <ValuedSlider value={selectedConfig.apiParameters.temperature} min={0} max={2} step={0.1}
                       input
@@ -665,8 +176,8 @@ export const Configs: FC = observer(() => {
                         });
                       }} />
                   } />
-                <Labeled label={t('Top_P *')}
-                  desc={t('Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.')}
+                <Labeled label={t('Top_P') + ' *'}
+                  desc={t('Just like feeding sedatives to the model. Consider the results of the top n% probability mass, 0.1 considers the top 10%, with higher quality but more conservative, 1 considers all results, with lower quality but more diverse.')}
                   content={
                     <ValuedSlider value={selectedConfig.apiParameters.topP} min={0} max={1} step={0.1} input
                       onChange={(e, data) => {
@@ -675,7 +186,7 @@ export const Configs: FC = observer(() => {
                         });
                       }} />
                   } />
-                <Labeled label={t('Presence Penalty *')}
+                <Labeled label={t('Presence Penalty') + ' *'}
                   desc={t('Positive values penalize new tokens based on whether they appear in the text so far, increasing the model\'s likelihood to talk about new topics.')}
                   content={
                     <ValuedSlider value={selectedConfig.apiParameters.presencePenalty} min={-2} max={2}
@@ -686,7 +197,7 @@ export const Configs: FC = observer(() => {
                         });
                       }} />
                   } />
-                <Labeled label={t('Frequency Penalty *')}
+                <Labeled label={t('Frequency Penalty') + ' *'}
                   desc={t('Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model\'s likelihood to repeat the same line verbatim.')}
                   content={
                     <ValuedSlider value={selectedConfig.apiParameters.frequencyPenalty} min={-2} max={2}
@@ -713,8 +224,12 @@ export const Configs: FC = observer(() => {
                           modelName: data.value
                         });
                       }}>
+                      {!commonStore.modelSourceList.find(item => item.name === selectedConfig.modelParameters.modelName)?.isComplete
+                        && <option key={-1}
+                          value={selectedConfig.modelParameters.modelName}>{selectedConfig.modelParameters.modelName}
+                        </option>}
                       {commonStore.modelSourceList.map((modelItem, index) =>
-                        modelItem.isLocal && <option key={index} value={modelItem.name}>{modelItem.name}</option>
+                        modelItem.isComplete && <option key={index} value={modelItem.name}>{modelItem.name}</option>
                       )}
                     </Select>
                     <ToolTipButton desc={t('Manage Models')} icon={<DataUsageSettings20Regular />} onClick={() => {
@@ -722,76 +237,131 @@ export const Configs: FC = observer(() => {
                     }} />
                   </div>
                 } />
-                <ToolTipButton text={t('Convert')} desc={t('Convert model with these configs')} onClick={async () => {
-                  const modelPath = `${manifest.localModelDir}/${selectedConfig.modelParameters.modelName}`;
-                  if (await FileExists(modelPath)) {
-                    const strategy = getStrategy(selectedConfig);
-                    const newModelPath = modelPath + '-' + strategy.replace(/[> *+]/g, '-');
-                    toast(t('Start Converting'), { autoClose: 1000, type: 'info' });
-                    ConvertModel(modelPath, strategy, newModelPath).then(() => {
-                      toast(`${t('Convert Success')} - ${newModelPath}`, { type: 'success' });
-                      refreshLocalModels({ models: commonStore.modelSourceList }, false);
-                    }).catch(e => {
-                      toast(`${t('Convert Failed')} - ${e.message || e}`, { type: 'error' });
-                    });
-                    setTimeout(WindowShow, 1000);
-                  } else {
-                    toast(`${t('Model Not Found')} - ${modelPath}`, { type: 'error' });
-                  }
-                }} />
-                <Labeled label={t('Device')} content={
-                  <Dropdown style={{ minWidth: 0 }} className="grow" value={selectedConfig.modelParameters.device}
+                <ToolTipButton text={t('Convert')}
+                  desc={t('Convert model with these configs. Using a converted model will greatly improve the loading speed, but model parameters of the converted model cannot be modified.')}
+                  onClick={async () => {
+                    if (commonStore.platform == 'darwin') {
+                      toast(t('MacOS is not yet supported for performing this operation, please do it manually.'), { type: 'info' });
+                      return;
+                    } else if (commonStore.platform == 'linux') {
+                      toast(t('Linux is not yet supported for performing this operation, please do it manually.'), { type: 'info' });
+                      return;
+                    }
+
+                    const modelPath = `${commonStore.settings.customModelsPath}/${selectedConfig.modelParameters.modelName}`;
+                    if (await FileExists(modelPath)) {
+                      const strategy = getStrategy(selectedConfig);
+                      const newModelPath = modelPath + '-' + strategy.replace(/[:> *+]/g, '-');
+                      toast(t('Start Converting'), { autoClose: 1000, type: 'info' });
+                      ConvertModel(commonStore.settings.customPythonPath, modelPath, strategy, newModelPath).then(() => {
+                        toast(`${t('Convert Success')} - ${newModelPath}`, { type: 'success' });
+                        refreshLocalModels({ models: commonStore.modelSourceList }, false);
+                      }).catch(e => {
+                        const errMsg = e.message || e;
+                        if (errMsg.includes('path contains space'))
+                          toast(`${t('Convert Failed')} - ${t('File Path Cannot Contain Space')}`, { type: 'error' });
+                        else
+                          toast(`${t('Convert Failed')} - ${e.message || e}`, { type: 'error' });
+                      });
+                      setTimeout(WindowShow, 1000);
+                    } else {
+                      toast(`${t('Model Not Found')} - ${modelPath}`, { type: 'error' });
+                    }
+                  }} />
+                <Labeled label={t('Strategy')} content={
+                  <Dropdown style={{ minWidth: 0 }} className="grow" value={t(selectedConfig.modelParameters.device)!}
                     selectedOptions={[selectedConfig.modelParameters.device]}
                     onOptionSelect={(_, data) => {
-                      if (data.optionText) {
+                      if (data.optionValue) {
                         setSelectedConfigModelParams({
-                          device: data.optionText as Device
+                          device: data.optionValue as Device
                         });
                       }
                     }}>
-                    <Option>CPU</Option>
-                    <Option>CUDA</Option>
+                    <Option value="CPU">CPU</Option>
+                    {commonStore.platform === 'darwin' && <Option value="MPS">MPS</Option>}
+                    <Option value="CUDA">CUDA</Option>
+                    <Option value="Custom">{t('Custom')!}</Option>
                   </Dropdown>
                 } />
-                <Labeled label={t('Precision')}
-                  desc={t('int8 uses less VRAM, and is faster, but has slightly lower quality. fp16 has higher quality, and fp32 has the best quality.')}
-                  content={
-                    <Dropdown style={{ minWidth: 0 }} className="grow"
-                      value={selectedConfig.modelParameters.precision}
-                      selectedOptions={[selectedConfig.modelParameters.precision]}
-                      onOptionSelect={(_, data) => {
-                        if (data.optionText) {
+                {
+                  selectedConfig.modelParameters.device != 'Custom' && <Labeled label={t('Precision')}
+                    desc={t('int8 uses less VRAM, but has slightly lower quality. fp16 has higher quality, and fp32 has the best quality.')}
+                    content={
+                      <Dropdown style={{ minWidth: 0 }} className="grow"
+                        value={selectedConfig.modelParameters.precision}
+                        selectedOptions={[selectedConfig.modelParameters.precision]}
+                        onOptionSelect={(_, data) => {
+                          if (data.optionText) {
+                            setSelectedConfigModelParams({
+                              precision: data.optionText as Precision
+                            });
+                          }
+                        }}>
+                        <Option>fp16</Option>
+                        <Option>int8</Option>
+                        <Option>fp32</Option>
+                      </Dropdown>
+                    } />
+                }
+                {
+                  selectedConfig.modelParameters.device == 'CUDA' &&
+                  <Labeled label={t('Current Strategy')}
+                    content={<Text> {getStrategy(selectedConfig)} </Text>} />
+                }
+                {
+                  selectedConfig.modelParameters.device == 'CUDA' &&
+                  <Labeled label={t('Stored Layers')}
+                    desc={t('Number of the neural network layers loaded into VRAM, the more you load, the faster the speed, but it consumes more VRAM. (If your VRAM is not enough, it will fail to load)')}
+                    content={
+                      <ValuedSlider value={selectedConfig.modelParameters.storedLayers} min={0}
+                        max={selectedConfig.modelParameters.maxStoredLayers} step={1} input
+                        onChange={(e, data) => {
                           setSelectedConfigModelParams({
-                            precision: data.optionText as Precision
+                            storedLayers: data.value
                           });
-                        }
-                      }}>
-                      <Option>fp16</Option>
-                      <Option>int8</Option>
-                      <Option>fp32</Option>
-                    </Dropdown>
-                  } />
-                <Labeled label={t('Stored Layers')}
-                  desc={t('Number of the neural network layers loaded into VRAM, the more you load, the faster the speed, but it consumes more VRAM.')}
-                  content={
-                    <ValuedSlider value={selectedConfig.modelParameters.storedLayers} min={0}
-                      max={selectedConfig.modelParameters.maxStoredLayers} step={1} input
-                      onChange={(e, data) => {
-                        setSelectedConfigModelParams({
-                          storedLayers: data.value
-                        });
-                      }} />
-                  } />
-                <Labeled label={t('Enable High Precision For Last Layer')}
-                  desc={t('Whether to use CPU to calculate the last output layer of the neural network with FP32 precision to obtain better quality.')}
-                  content={
-                    <Switch checked={selectedConfig.modelParameters.enableHighPrecisionForLastLayer}
-                      onChange={(e, data) => {
-                        setSelectedConfigModelParams({
-                          enableHighPrecisionForLastLayer: data.checked
-                        });
-                      }} />
-                  } />
+                        }} />
+                    } />
+                }
+                {
+                  selectedConfig.modelParameters.device == 'CUDA' && <div />
+                }
+                {
+                  displayStrategyImg &&
+                  <img style={{ width: '80vh', height: 'auto', zIndex: 100 }}
+                    className="fixed left-0 top-0 rounded-xl select-none"
+                    src={commonStore.settings.language === 'zh' ? strategyZhImg : strategyImg} />
+                }
+                {
+                  selectedConfig.modelParameters.device == 'Custom' &&
+                  <Labeled label="Strategy"
+                    onMouseEnter={() => setDisplayStrategyImg(true)}
+                    onMouseLeave={() => setDisplayStrategyImg(false)}
+                    content={
+                      <Input className="grow"
+                        placeholder={commonStore.platform != 'darwin' ? 'cuda:0 fp16 *20 -> cuda:1 fp16' : 'mps fp32'}
+                        value={selectedConfig.modelParameters.customStrategy}
+                        onChange={(e, data) => {
+                          setSelectedConfigModelParams({
+                            customStrategy: data.value
+                          });
+                        }} />
+                    } />
+                }
+                {selectedConfig.modelParameters.device == 'Custom' && <div />}
+                {
+                  selectedConfig.modelParameters.device != 'CPU' && selectedConfig.modelParameters.device != 'MPS' &&
+                  <Labeled label={t('Use Custom CUDA kernel to Accelerate')}
+                    desc={t('Enabling this option can greatly improve inference speed and save some VRAM, but there may be compatibility issues. If it fails to start, please turn off this option.')}
+                    content={
+                      <Switch checked={selectedConfig.modelParameters.useCustomCuda}
+                        onChange={(e, data) => {
+                          setSelectedConfigModelParams({
+                            useCustomCuda: data.checked
+                          });
+                        }} />
+                    } />
+                }
               </div>
             }
           />

frontend/src/pages/Downloads.tsx

@@ -7,7 +7,7 @@ import { Divider, Field, ProgressBar } from '@fluentui/react-components';
 import { bytesToGb, bytesToKb, bytesToMb, refreshLocalModels } from '../utils';
 import { ToolTipButton } from '../components/ToolTipButton';
 import { Folder20Regular, Pause20Regular, Play20Regular } from '@fluentui/react-icons';
-import { ContinueDownload, OpenFileFolder, PauseDownload } from '../../wailsjs/go/backend_golang/App';
+import { AddToDownloadList, OpenFileFolder, PauseDownload } from '../../wailsjs/go/backend_golang/App';
 
 export type DownloadStatus = {
   name: string;
@@ -30,10 +30,27 @@ export const Downloads: FC = observer(() => {
     console.log('finishedModelsLen:', finishedModelsLen);
   }, [finishedModelsLen]);
 
+  let displayList = commonStore.downloadList.slice();
+  const downloadListNames = displayList.map(s => s.name);
+  commonStore.lastUnfinishedModelDownloads.forEach((status) => {
+    const unfinishedIndex = downloadListNames.indexOf(status.name);
+    if (unfinishedIndex === -1) {
+      displayList.push(status);
+    } else {
+      const unfinishedStatus = displayList[unfinishedIndex];
+      if (unfinishedStatus.transferred < status.transferred) {
+        status.downloading = unfinishedStatus.downloading;
+        delete displayList[unfinishedIndex];
+        displayList.push(status);
+      }
+    }
+  });
+  displayList = displayList.reverse();
+
   return (
     <Page title={t('Downloads')} content={
       <div className="flex flex-col gap-2 overflow-y-auto overflow-x-hidden p-1">
-        {commonStore.downloadList.slice().reverse().map((status, index) => {
+        {displayList.map((status, index) => {
           const downloadProgress = `${status.progress.toFixed(2)}%`;
           const downloadSpeed = `${status.downloading ? bytesToMb(status.speed) : '0'}MB/s`;
           let downloadDetails: string;
@@ -53,16 +70,16 @@ export const Downloads: FC = observer(() => {
               <div className="flex items-center gap-2">
                 <ProgressBar className="grow" value={status.progress} max={100} />
                 {!status.done &&
-                  <ToolTipButton desc={status.downloading ? t('Pause') : t('Continue')}
+                  <ToolTipButton desc={status.downloading ? t('Pause') : t('Resume')}
                     icon={status.downloading ? <Pause20Regular /> : <Play20Regular />}
                     onClick={() => {
                       if (status.downloading)
                         PauseDownload(status.url);
                       else
-                        ContinueDownload(status.url);
+                        AddToDownloadList(status.path, status.url);
                     }} />}
                 <ToolTipButton desc={t('Open Folder')} icon={<Folder20Regular />} onClick={() => {
-                  OpenFileFolder(status.path);
+                  OpenFileFolder(status.path, false);
                 }} />
               </div>
             </Field>

frontend/src/pages/Home.tsx

@@ -3,9 +3,9 @@ import React, { FC, ReactElement } from 'react';
 import banner from '../assets/images/banner.jpg';
 import {
   Chat20Regular,
+  ClipboardEdit20Regular,
   DataUsageSettings20Regular,
-  DocumentSettings20Regular,
-  Storage20Regular
+  DocumentSettings20Regular
 } from '@fluentui/react-icons';
 import { useNavigate } from 'react-router';
 import { observer } from 'mobx-react-lite';
@@ -16,6 +16,8 @@ import { useTranslation } from 'react-i18next';
 import { ConfigSelector } from '../components/ConfigSelector';
 import MarkdownRender from '../components/MarkdownRender';
 import commonStore from '../stores/commonStore';
+import { Completion } from './Completion';
+import { ResetConfigsButton } from '../components/ResetConfigsButton';
 
 export type IntroductionContent = { [lang: string]: string }
 
@@ -33,6 +35,12 @@ const navCards: NavCard[] = [
     path: '/chat',
     icon: <Chat20Regular />
   },
+  {
+    label: 'Completion',
+    desc: 'Writer, Translator, Role-playing',
+    path: '/completion',
+    icon: <ClipboardEdit20Regular />
+  },
   {
     label: 'Configs',
     desc: 'Manage your configs',
@@ -44,12 +52,6 @@ const navCards: NavCard[] = [
     desc: 'Manage models',
     path: '/models',
     icon: <DataUsageSettings20Regular />
-  },
-  {
-    label: 'Train',
-    desc: '',
-    path: '/train',
-    icon: <Storage20Regular />
   }
 ];
 
@@ -64,7 +66,8 @@ export const Home: FC = observer(() => {
 
   return (
     <div className="flex flex-col justify-between h-full">
-      <img className="rounded-xl select-none hidden sm:block" src={banner} />
+      <img className="rounded-xl select-none hidden sm:block"
+        style={{ maxHeight: '40%', margin: '0 auto' }} src={banner} />
       <div className="flex flex-col gap-2">
         <Text size={600} weight="medium">{t('Introduction')}</Text>
         <div className="h-40 overflow-y-auto overflow-x-hidden p-1">
@@ -84,6 +87,7 @@ export const Home: FC = observer(() => {
       <div className="flex flex-col gap-2">
         <div className="flex flex-row-reverse sm:fixed bottom-2 right-2">
           <div className="flex gap-3">
+            <ResetConfigsButton />
             <ConfigSelector />
             <RunButton />
           </div>

frontend/src/pages/Models.tsx

@@ -18,7 +18,6 @@ import { observer } from 'mobx-react-lite';
 import commonStore from '../stores/commonStore';
 import { BrowserOpenURL } from '../../wailsjs/runtime';
 import { AddToDownloadList, OpenFileFolder } from '../../wailsjs/go/backend_golang/App';
-import manifest from '../../../manifest.json';
 import { Page } from '../components/Page';
 import { bytesToGb, refreshModels, saveConfigs, toastWithButton } from '../utils';
 import { useTranslation } from 'react-i18next';
@@ -32,8 +31,11 @@ export type ModelSourceItem = {
   SHA256?: string;
   url?: string;
   downloadUrl?: string;
+  isComplete?: boolean;
   isLocal?: boolean;
+  localSize?: number;
   lastUpdatedMs?: number;
+  hide?: boolean;
 };
 
 const columns: TableColumnDefinition<ModelSourceItem>[] = [
@@ -125,7 +127,7 @@ const columns: TableColumnDefinition<ModelSourceItem>[] = [
   createTableColumn<ModelSourceItem>({
     columnId: 'actions',
     compare: (a, b) => {
-      return a.isLocal ? -1 : 1;
+      return a.isComplete ? -1 : 1;
     },
     renderHeaderCell: () => {
       const { t } = useTranslation();
@@ -140,18 +142,18 @@ const columns: TableColumnDefinition<ModelSourceItem>[] = [
         <TableCellLayout>
           <div className="flex gap-1">
             {
-              item.isLocal &&
+              item.isComplete &&
               <ToolTipButton desc={t('Open Folder')} icon={<Folder20Regular />} onClick={() => {
-                OpenFileFolder(`./${manifest.localModelDir}/${item.name}`);
+                OpenFileFolder(`${commonStore.settings.customModelsPath}/${item.name}`, true);
               }} />
             }
-            {item.downloadUrl && !item.isLocal &&
+            {item.downloadUrl && !item.isComplete &&
               <ToolTipButton desc={t('Download')} icon={<ArrowDownload20Regular />} onClick={() => {
                 toastWithButton(`${t('Downloading')} ${item.name}`, t('Check'), () => {
                     navigate({ pathname: '/downloads' });
                   },
                   { autoClose: 3000 });
-                AddToDownloadList(`./${manifest.localModelDir}/${item.name}`, item.downloadUrl!);
+                AddToDownloadList(`${commonStore.settings.customModelsPath}/${item.name}`, item.downloadUrl!);
               }} />}
             {item.url && <ToolTipButton desc={t('Open Url')} icon={<Open20Regular />} onClick={() => {
               BrowserOpenURL(item.url!);
@@ -203,6 +205,7 @@ export const Models: FC = observer(() => {
             <div className="overflow-y-auto overflow-x-hidden">
               <DataGridBody<ModelSourceItem>>
                 {({ item, rowId }) => (
+                  (!item.hide || item.isComplete) &&
                   <DataGridRow<ModelSourceItem> key={rowId}>
                     {({ renderCell }) => (
                       <DataGridCell>{renderCell(item)}</DataGridCell>

frontend/src/pages/PresetsManager/MessagesEditor.tsx

@@ -0,0 +1,154 @@
+import React, { FC, useState } from 'react';
+import { DragDropContext, Draggable, Droppable, DropResult } from 'react-beautiful-dnd';
+import commonStore from '../../stores/commonStore';
+import { Preset } from './PresetsButton';
+import { observer } from 'mobx-react-lite';
+import { v4 as uuid } from 'uuid';
+import { Button, Card, Dropdown, Option, Textarea } from '@fluentui/react-components';
+import { useTranslation } from 'react-i18next';
+import { ToolTipButton } from '../../components/ToolTipButton';
+import { Delete20Regular, ReOrderDotsVertical20Regular } from '@fluentui/react-icons';
+import { ConversationMessage, Role } from '../Chat';
+
+type Item = {
+  id: string;
+  role: Role;
+  content: string;
+}
+
+const getItems = (messages: ConversationMessage[]) =>
+  messages.map((message, index) => ({
+    id: uuid(),
+    role: message.role,
+    content: message.content
+  })) as Item[];
+
+const reorder = (list: Item[], startIndex: number, endIndex: number) => {
+  const result = Array.from(list);
+  const [removed] = result.splice(startIndex, 1);
+  result.splice(endIndex, 0, removed);
+
+  return result;
+};
+
+export const MessagesEditor: FC = observer(() => {
+  const { t } = useTranslation();
+
+  const editingPreset = commonStore.editingPreset!;
+  const setEditingPreset = (newParams: Partial<Preset>) => {
+    commonStore.setEditingPreset({
+      ...editingPreset,
+      ...newParams
+    });
+  };
+
+  const [items, setItems] = useState(getItems(editingPreset.messages));
+
+  const updateItems = (items: Item[]) => {
+    setEditingPreset({
+      messages: items.map(item => ({
+        role: item.role,
+        content: item.content
+      }))
+    });
+    setItems(items);
+  };
+
+  const onDragEnd = (result: DropResult) => {
+    if (!result.destination) {
+      return;
+    }
+
+    const newItems = reorder(
+      items,
+      result.source.index,
+      result.destination.index
+    );
+
+    updateItems(newItems);
+  };
+
+  const createNewItem = () => {
+    const newItems: Item[] = [...items, {
+      id: uuid(),
+      role: 'assistant',
+      content: ''
+    }];
+    updateItems(newItems);
+  };
+
+  const deleteItem = (id: string) => {
+    const newItems: Item[] = items.filter(item => item.id !== id);
+    updateItems(newItems);
+  };
+
+  return (
+    <div className="grid grid-cols-1 gap-2 overflow-hidden">
+      <Button style={{ width: '100%' }} onClick={createNewItem}>{t('New')}</Button>
+      <div className="overflow-x-hidden overflow-y-auto p-2">
+        <DragDropContext onDragEnd={onDragEnd}>
+          <Droppable droppableId="droppable">
+            {(provided, snapshot) => (
+              <div
+                {...provided.droppableProps}
+                ref={provided.innerRef}
+              >
+                {items.map((item, index) => (
+                  <Draggable key={item.id} draggableId={item.id} index={index}>
+                    {(provided, snapshot) => (
+                      <div
+                        ref={provided.innerRef}
+                        {...provided.draggableProps}
+                        {...provided.dragHandleProps}
+                        style={provided.draggableProps.style}
+                        className="select-none mb-2"
+                      >
+                        <div className="flex">
+                          <Card appearance="outline"
+                            style={{ borderTopRightRadius: 0, borderBottomRightRadius: 0 }}>
+                            <ReOrderDotsVertical20Regular />
+                          </Card>
+                          <Dropdown style={{ minWidth: 0, borderRadius: 0 }} listbox={{ style: { minWidth: 0 } }}
+                            value={t(item.role)!}
+                            selectedOptions={[item.role]}
+                            onOptionSelect={(_, data) => {
+                              if (data.optionValue) {
+                                items[index] = {
+                                  ...item,
+                                  role: data.optionValue as Role
+                                };
+                                updateItems([...items]);
+                              }
+                            }}>
+                            <Option value="user">{t('user')!}</Option>
+                            <Option value="assistant">{t('assistant')!}</Option>
+                            {/* TODO <Option value="system">{t('system')!}</Option>*/}
+                          </Dropdown>
+                          <Textarea resize="vertical" className="grow" value={item.content}
+                            style={{ minWidth: 0, borderRadius: 0 }}
+                            onChange={(e, data) => {
+                              items[index] = {
+                                ...item,
+                                content: data.value
+                              };
+                              updateItems([...items]);
+                            }}></Textarea>
+                          <ToolTipButton
+                            style={{ borderTopLeftRadius: 0, borderBottomLeftRadius: 0 }} desc={t('Delete')}
+                            icon={<Delete20Regular />} onClick={() => {
+                            deleteItem(item.id);
+                          }} />
+                        </div>
+                      </div>
+                    )}
+                  </Draggable>
+                ))}
+                {provided.placeholder}
+              </div>
+            )}
+          </Droppable>
+        </DragDropContext>
+      </div>
+    </div>
+  );
+});

frontend/src/pages/PresetsManager/PresetsButton.tsx

@@ -0,0 +1,431 @@
+// TODO refactor
+
+import React, { FC, PropsWithChildren, ReactElement, useState } from 'react';
+import {
+  Button,
+  Dialog,
+  DialogBody,
+  DialogContent,
+  DialogSurface,
+  DialogTrigger,
+  Input,
+  Switch,
+  Tab,
+  TabList,
+  Text
+} from '@fluentui/react-components';
+import {
+  Accessibility28Regular,
+  Chat20Regular,
+  ClipboardEdit20Regular,
+  Delete20Regular,
+  Dismiss20Regular,
+  Edit20Regular,
+  Globe20Regular
+} from '@fluentui/react-icons';
+import { ToolTipButton } from '../../components/ToolTipButton';
+import { useTranslation } from 'react-i18next';
+import { botName, Conversation, ConversationMessage, MessageType, userName } from '../Chat';
+import { SelectTabEventHandler } from '@fluentui/react-tabs';
+import { Labeled } from '../../components/Labeled';
+import commonStore from '../../stores/commonStore';
+import logo from '../../assets/images/logo.jpg';
+import { observer } from 'mobx-react-lite';
+import { MessagesEditor } from './MessagesEditor';
+import { ClipboardGetText, ClipboardSetText } from '../../../wailsjs/runtime';
+import { toast } from 'react-toastify';
+import { CustomToastContainer } from '../../components/CustomToastContainer';
+import { v4 as uuid } from 'uuid';
+
+export type PresetType = 'chat' | 'completion' | 'chatInCompletion'
+
+export type Preset = {
+  name: string,
+  tag: string,
+  // if name and sourceUrl are same, it will be overridden when importing
+  sourceUrl: string,
+  desc: string,
+  avatarImg: string,
+  type: PresetType,
+  // chat
+  welcomeMessage: string,
+  messages: ConversationMessage[],
+  displayPresetMessages: boolean,
+  // completion
+  prompt: string,
+  stop: string,
+  injectStart: string,
+  injectEnd: string,
+}
+
+export const defaultPreset: Preset = {
+  name: 'RWKV',
+  tag: 'default',
+  sourceUrl: '',
+  desc: '',
+  avatarImg: logo,
+  type: 'chat',
+  welcomeMessage: '',
+  displayPresetMessages: true,
+  messages: [],
+  prompt: '',
+  stop: '',
+  injectStart: '',
+  injectEnd: ''
+};
+
+const setActivePreset = (preset: Preset) => {
+  commonStore.setActivePreset(preset);
+  //TODO if (preset.displayPresetMessages) {
+  const conversation: Conversation = {};
+  const conversationOrder: string[] = [];
+  for (const message of preset.messages) {
+    const newUuid = uuid();
+    conversationOrder.push(newUuid);
+    conversation[newUuid] = {
+      sender: message.role === 'user' ? userName : botName,
+      type: MessageType.Normal,
+      color: message.role === 'user' ? 'brand' : 'colorful',
+      time: new Date().toISOString(),
+      content: message.content,
+      side: message.role === 'user' ? 'right' : 'left',
+      done: true
+    };
+  }
+  commonStore.setConversation(conversation);
+  commonStore.setConversationOrder(conversationOrder);
+  //}
+};
+
+export const PresetCardFrame: FC<PropsWithChildren & { onClick?: () => void }> = (props) => {
+  return <Button
+    className="flex flex-col gap-1 w-32 h-56 break-all"
+    style={{ minWidth: 0, borderRadius: '0.75rem', justifyContent: 'unset' }}
+    onClick={props.onClick}
+  >
+    {props.children}
+  </Button>;
+};
+
+export const PresetCard: FC<{
+  avatarImg: string,
+  name: string,
+  desc: string,
+  tag: string,
+  editable: boolean,
+  presetIndex: number,
+  onClick?: () => void
+}> = observer(({
+  avatarImg, name, desc, tag, editable, presetIndex, onClick
+}) => {
+  const { t } = useTranslation();
+
+  return <PresetCardFrame onClick={onClick}>
+    <img src={avatarImg} className="rounded-xl select-none ml-auto mr-auto h-28" />
+    <Text size={400}>{name}</Text>
+    <Text size={200} style={{
+      overflow: 'hidden', textOverflow: 'ellipsis',
+      display: '-webkit-box', WebkitLineClamp: 3, WebkitBoxOrient: 'vertical'
+    }}>{desc}</Text>
+    <div className="grow" />
+    <div className="flex justify-between w-full items-end">
+      <div className="text-xs font-thin text-gray-500">{t(tag)}</div>
+      {editable ?
+        <ChatPresetEditor presetIndex={presetIndex} triggerButton={
+          <ToolTipButton size="small" appearance="transparent" desc={t('Edit')} icon={<Edit20Regular />}
+            onClick={() => {
+              commonStore.setEditingPreset({ ...commonStore.presets[presetIndex] });
+            }} />
+        } />
+        : <div />
+      }
+    </div>
+  </PresetCardFrame>;
+});
+
+export const ChatPresetEditor: FC<{
+  triggerButton: ReactElement,
+  presetIndex: number
+}> = observer(({ triggerButton, presetIndex }) => {
+  const { t } = useTranslation();
+  const [editingMessages, setEditingMessages] = useState(false);
+
+  if (!commonStore.editingPreset)
+    commonStore.setEditingPreset({ ...defaultPreset });
+  const editingPreset = commonStore.editingPreset!;
+
+  const setEditingPreset = (newParams: Partial<Preset>) => {
+    commonStore.setEditingPreset({
+      ...editingPreset,
+      ...newParams
+    });
+  };
+
+  const importPreset = () => {
+    ClipboardGetText().then((text) => {
+      try {
+        const preset = JSON.parse(text);
+        setEditingPreset(preset);
+        toast(t('Imported successfully'), {
+          type: 'success',
+          autoClose: 1000
+        });
+      } catch (e) {
+        toast(t('Failed to import. Please copy a preset to the clipboard.'), {
+          type: 'error',
+          autoClose: 2500
+        });
+      }
+    }).catch(() => {
+      toast(t('Clipboard is empty.'), {
+        type: 'info',
+        autoClose: 1000
+      });
+    });
+  };
+
+  const copyPreset = () => {
+    ClipboardSetText(JSON.stringify(editingPreset)).then((success) => {
+      if (success)
+        toast(t('Successfully copied to clipboard.'), {
+          type: 'success',
+          autoClose: 1000
+        });
+    });
+  };
+
+  const savePreset = () => {
+    if (presetIndex === -1) {
+      commonStore.setPresets([...commonStore.presets, { ...editingPreset }]);
+      setEditingPreset(defaultPreset);
+    } else {
+      commonStore.presets[presetIndex] = editingPreset;
+      commonStore.setPresets(commonStore.presets);
+    }
+  };
+
+  const activatePreset = () => {
+    savePreset();
+    setActivePreset(editingPreset);
+  };
+
+  const deletePreset = () => {
+    commonStore.presets.splice(presetIndex, 1);
+    commonStore.setPresets(commonStore.presets);
+  };
+
+  return <Dialog>
+    <DialogTrigger disableButtonEnhancement>
+      {triggerButton}
+    </DialogTrigger>
+    <DialogSurface style={{
+      paddingTop: 0,
+      maxWidth: '80vw',
+      maxHeight: '80vh',
+      width: '500px',
+      height: '100%'
+    }}>
+      <DialogBody style={{ height: '100%', overflow: 'hidden' }}>
+        <DialogContent className="flex flex-col gap-1 overflow-hidden">
+          <CustomToastContainer />
+          <div className="flex justify-between">{
+            presetIndex === -1
+              ? <div />
+              : <DialogTrigger disableButtonEnhancement>
+                <Button appearance="subtle" icon={<Delete20Regular />} onClick={deletePreset} />
+              </DialogTrigger>
+          }
+            <DialogTrigger disableButtonEnhancement>
+              <Button appearance="subtle" icon={<Dismiss20Regular />} />
+            </DialogTrigger>
+          </div>
+          <img src={editingPreset.avatarImg} className="rounded-xl select-none ml-auto mr-auto h-28" />
+          <Labeled flex breakline label={t('Name')}
+            content={
+              <div className="flex gap-2">
+                <Input className="grow" value={editingPreset.name} onChange={(e, data) => {
+                  setEditingPreset({
+                    name: data.value
+                  });
+                }} />
+                <Button onClick={() => {
+                  setEditingMessages(!editingMessages);
+                }}>{!editingMessages ? t('Edit Messages') : t('Go Back')}</Button>
+              </div>
+            } />
+          {
+            editingMessages ?
+              <MessagesEditor /> :
+              <div className="flex flex-col gap-1 p-2 overflow-x-hidden overflow-y-auto">
+                <Labeled flex breakline label={t('Description')}
+                  content={
+                    <Input value={editingPreset.desc} onChange={(e, data) => {
+                      setEditingPreset({
+                        desc: data.value
+                      });
+                    }} />
+                  } />
+                <Labeled flex breakline label={t('Avatar Url')}
+                  content={
+                    <Input value={editingPreset.avatarImg} onChange={(e, data) => {
+                      setEditingPreset({
+                        avatarImg: data.value
+                      });
+                    }} />
+                  } />
+                <Labeled flex breakline label={t('Welcome Message')}
+                  content={
+                    <Input disabled value={editingPreset.welcomeMessage} onChange={(e, data) => {
+                      setEditingPreset({
+                        welcomeMessage: data.value
+                      });
+                    }} />
+                  } />
+                <Labeled flex spaceBetween label={t('Display Preset Messages')}
+                  content={
+                    <Switch disabled checked={editingPreset.displayPresetMessages}
+                      onChange={(e, data) => {
+                        setEditingPreset({
+                          displayPresetMessages: data.checked
+                        });
+                      }} />
+                  } />
+                <Labeled flex breakline label={t('Tag')}
+                  content={
+                    <Input value={editingPreset.tag} onChange={(e, data) => {
+                      setEditingPreset({
+                        tag: data.value
+                      });
+                    }} />
+                  } />
+              </div>
+          }
+          <div className="grow" />
+          <div className="flex justify-between">
+            <Button onClick={importPreset}>{t('Import')}</Button>
+            <Button onClick={copyPreset}>{t('Copy')}</Button>
+          </div>
+          <div className="flex justify-between">
+            <DialogTrigger disableButtonEnhancement>
+              <Button appearance="primary" onClick={savePreset}>{t('Save')}</Button>
+            </DialogTrigger>
+            <DialogTrigger disableButtonEnhancement>
+              <Button appearance="primary" onClick={activatePreset}>{t('Activate')}</Button>
+            </DialogTrigger>
+          </div>
+        </DialogContent>
+      </DialogBody>
+    </DialogSurface>
+  </Dialog>;
+});
+
+export const ChatPresets: FC = observer(() => {
+  const { t } = useTranslation();
+
+  return <div className="flex flex-wrap gap-2">
+    <ChatPresetEditor presetIndex={-1} triggerButton={
+      <PresetCardFrame>
+        <div className="h-full flex items-center">
+          {t('New Preset')}
+        </div>
+      </PresetCardFrame>}
+    />
+    {/*TODO <PresetCardFrame>*/}
+    {/*  <div className="h-full flex items-center">*/}
+    {/*    {t('Import')}*/}
+    {/*  </div>*/}
+    {/*</PresetCardFrame>*/}
+    <PresetCard
+      presetIndex={-1}
+      editable={false}
+      onClick={() => {
+        setActivePreset(defaultPreset);
+      }} avatarImg={defaultPreset.avatarImg} name={defaultPreset.name} desc={defaultPreset.desc} tag={defaultPreset.tag}
+    />
+    {commonStore.presets.map((preset, index) => {
+      return <PresetCard
+        presetIndex={index}
+        editable={true}
+        onClick={() => {
+          setActivePreset(preset);
+        }}
+        key={index} avatarImg={preset.avatarImg} name={preset.name} desc={preset.desc} tag={preset.tag}
+      />;
+    })}
+  </div>;
+});
+
+type PresetsNavigationItem = {
+  icon: ReactElement;
+  element: ReactElement;
+};
+
+const pages: { [label: string]: PresetsNavigationItem } = {
+  Chat: {
+    icon: <Chat20Regular />,
+    element: <ChatPresets />
+  },
+  Completion: {
+    icon: <ClipboardEdit20Regular />,
+    element: <div>In Development</div>
+  },
+  Online: {
+    icon: <Globe20Regular />,
+    element: <div>In Development</div>
+  }
+};
+
+export const PresetsManager: FC<{ initTab: string }> = ({ initTab }) => {
+  const { t } = useTranslation();
+  const [tab, setTab] = useState(initTab);
+
+  const selectTab: SelectTabEventHandler = (e, data) =>
+    typeof data.value === 'string' ? setTab(data.value) : null;
+
+  return <div className="flex flex-col gap-2 w-full h-full">
+    <div className="flex justify-between">
+      <TabList
+        size="small"
+        appearance="subtle"
+        selectedValue={tab}
+        onTabSelect={selectTab}
+      >
+        {Object.entries(pages).map(([label, { icon }]) => (
+          <Tab icon={icon} key={label} value={label}>
+            {t(label)}
+          </Tab>
+        ))}
+      </TabList>
+      <DialogTrigger disableButtonEnhancement>
+        <Button appearance="subtle" icon={<Dismiss20Regular />} />
+      </DialogTrigger>
+    </div>
+    <div className="grow overflow-x-hidden overflow-y-auto">
+      {pages[tab].element}
+    </div>
+  </div>;
+};
+
+export const PresetsButton: FC<{
+  tab: string,
+  size?: 'small' | 'medium' | 'large',
+  shape?: 'rounded' | 'circular' | 'square';
+  appearance?: 'secondary' | 'primary' | 'outline' | 'subtle' | 'transparent';
+}> = ({ tab, size, shape, appearance }) => {
+  const { t } = useTranslation();
+
+  return <Dialog>
+    <DialogTrigger disableButtonEnhancement>
+      <ToolTipButton desc={t('Presets')} size={size} shape={shape} appearance={appearance}
+        icon={<Accessibility28Regular />} />
+    </DialogTrigger>
+    <DialogSurface style={{ paddingTop: 0, maxWidth: '90vw', width: 'fit-content' }}>
+      <DialogBody>
+        <DialogContent>
+          <CustomToastContainer />
+          <PresetsManager initTab={tab} />
+        </DialogContent>
+      </DialogBody>
+    </DialogSurface>
+  </Dialog>;
+};

frontend/src/pages/Settings.tsx

@@ -1,11 +1,21 @@
-import React, { FC } from 'react';
+import React, { FC, useEffect, useRef } from 'react';
 import { Page } from '../components/Page';
-import { Dropdown, Option, Switch } from '@fluentui/react-components';
+import {
+  Accordion,
+  AccordionHeader,
+  AccordionItem,
+  AccordionPanel,
+  Dropdown,
+  Input,
+  Option,
+  Switch
+} from '@fluentui/react-components';
 import { Labeled } from '../components/Labeled';
 import commonStore from '../stores/commonStore';
 import { observer } from 'mobx-react-lite';
 import { useTranslation } from 'react-i18next';
-import { checkUpdate } from '../utils';
+import { checkUpdate, toastWithButton } from '../utils';
+import { RestartApp } from '../../wailsjs/go/backend_golang/App';
 
 export const Languages = {
   dev: 'English', // i18n default
@@ -15,19 +25,33 @@ export const Languages = {
 export type Language = keyof typeof Languages;
 
 export type SettingsType = {
-  language: Language,
+  language: Language
   darkMode: boolean
   autoUpdatesCheck: boolean
   giteeUpdatesSource: boolean
   cnMirror: boolean
+  host: string
+  dpiScaling: number
+  customModelsPath: string
+  customPythonPath: string
+  apiUrl: string
+  apiKey: string
+  apiChatModelName: string
+  apiCompletionModelName: string
 }
 
 export const Settings: FC = observer(() => {
   const { t, i18n } = useTranslation();
+  const advancedHeaderRef = useRef<HTMLDivElement>(null);
+
+  useEffect(() => {
+    if (advancedHeaderRef.current)
+      (advancedHeaderRef.current.firstElementChild as HTMLElement).style.padding = '0';
+  }, []);
 
   return (
     <Page title={t('Settings')} content={
-      <div className="flex flex-col gap-2 overflow-hidden">
+      <div className="flex flex-col gap-2 overflow-y-auto overflow-x-hidden p-1">
         <Labeled label={t('Language')} flex spaceBetween content={
           <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
             value={Languages[commonStore.settings.language]}
@@ -38,7 +62,6 @@ export const Settings: FC = observer(() => {
                 commonStore.setSettings({
                   language: lang
                 });
-                i18n.changeLanguage(lang);
               }
             }}>
             {
@@ -47,6 +70,31 @@ export const Settings: FC = observer(() => {
             }
           </Dropdown>
         } />
+        {
+          commonStore.platform === 'windows' &&
+          <Labeled label={t('DPI Scaling')} flex spaceBetween content={
+            <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
+              value={commonStore.settings.dpiScaling + '%'}
+              selectedOptions={[commonStore.settings.dpiScaling.toString()]}
+              onOptionSelect={(_, data) => {
+                if (data.optionValue) {
+                  commonStore.setSettings({
+                    dpiScaling: Number(data.optionValue)
+                  });
+                  toastWithButton(t('Restart the app to apply DPI Scaling.'), t('Restart'), () => {
+                    RestartApp();
+                  }, {
+                    autoClose: 5000
+                  });
+                }
+              }}>
+              {
+                Array.from({ length: 7 }, (_, i) => (i + 2) * 25).map((v, i) =>
+                  <Option key={i} value={v.toString()}>{v + '%'}</Option>)
+              }
+            </Dropdown>
+          } />
+        }
         <Labeled label={t('Dark Mode')} flex spaceBetween content={
           <Switch checked={commonStore.settings.darkMode}
             onChange={(e, data) => {
@@ -77,7 +125,7 @@ export const Settings: FC = observer(() => {
           } />
         }
         {
-          commonStore.settings.language === 'zh' &&
+          commonStore.settings.language === 'zh' && commonStore.platform != 'linux' &&
           <Labeled label={t('Use Tsinghua Pip Mirrors')} flex spaceBetween content={
             <Switch checked={commonStore.settings.cnMirror}
               onChange={(e, data) => {
@@ -87,6 +135,142 @@ export const Settings: FC = observer(() => {
               }} />
           } />
         }
+        <Labeled label={t('Allow external access to the API (service must be restarted)')} flex spaceBetween content={
+          <Switch checked={commonStore.settings.host !== '127.0.0.1'}
+            onChange={(e, data) => {
+              commonStore.setSettings({
+                host: data.checked ? '0.0.0.0' : '127.0.0.1'
+              });
+            }} />
+        } />
+        <Accordion collapsible openItems={!commonStore.advancedCollapsed && 'advanced'} onToggle={(e, data) => {
+          if (data.value === 'advanced')
+            commonStore.setAdvancedCollapsed(!commonStore.advancedCollapsed);
+        }}>
+          <AccordionItem value="advanced">
+            <AccordionHeader ref={advancedHeaderRef} size="large">{t('Advanced')}</AccordionHeader>
+            <AccordionPanel>
+              <div className="flex flex-col gap-2 overflow-hidden">
+                {commonStore.platform !== 'darwin' &&
+                  <Labeled label={t('Custom Models Path')}
+                    content={
+                      <Input className="grow" placeholder="./models" value={commonStore.settings.customModelsPath}
+                        onChange={(e, data) => {
+                          commonStore.setSettings({
+                            customModelsPath: data.value
+                          });
+                        }} />
+                    } />
+                }
+                <Labeled label={t('Custom Python Path')} // if set, will not use precompiled cuda kernel
+                  content={
+                    <Input className="grow" placeholder="./py310/python" value={commonStore.settings.customPythonPath}
+                      onChange={(e, data) => {
+                        commonStore.setSettings({
+                          customPythonPath: data.value
+                        });
+                      }} />
+                  } />
+                <Labeled label={'API URL'}
+                  content={
+                    <div className="flex gap-2">
+                      <Input style={{ minWidth: 0 }} className="grow" value={commonStore.settings.apiUrl}
+                        onChange={(e, data) => {
+                          commonStore.setSettings({
+                            apiUrl: data.value
+                          });
+                        }} />
+                      <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
+                        value="..." selectedOptions={[]} expandIcon={null}
+                        onOptionSelect={(_, data) => {
+                          commonStore.setSettings({
+                            apiUrl: data.optionValue
+                          });
+                          if (data.optionText === 'OpenAI') {
+                            if (commonStore.settings.apiChatModelName === 'rwkv')
+                              commonStore.setSettings({
+                                apiChatModelName: 'gpt-3.5-turbo'
+                              });
+                            if (commonStore.settings.apiCompletionModelName === 'rwkv')
+                              commonStore.setSettings({
+                                apiCompletionModelName: 'text-davinci-003'
+                              });
+                          }
+                        }}>
+                        <Option value="">{t('Localhost')!}</Option>
+                        <Option value="https://api.openai.com">OpenAI</Option>
+                      </Dropdown>
+                    </div>
+                  } />
+                <Labeled label={'API Key'}
+                  content={
+                    <Input className="grow" placeholder="sk-" value={commonStore.settings.apiKey}
+                      onChange={(e, data) => {
+                        commonStore.setSettings({
+                          apiKey: data.value
+                        });
+                      }} />
+                  } />
+                <Labeled label={t('API Chat Model Name')}
+                  content={
+                    <div className="flex gap-2">
+                      <Input style={{ minWidth: 0 }} className="grow" placeholder="rwkv"
+                        value={commonStore.settings.apiChatModelName}
+                        onChange={(e, data) => {
+                          commonStore.setSettings({
+                            apiChatModelName: data.value
+                          });
+                        }} />
+                      <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
+                        value="..." selectedOptions={[]} expandIcon={null}
+                        onOptionSelect={(_, data) => {
+                          if (data.optionValue) {
+                            commonStore.setSettings({
+                              apiChatModelName: data.optionValue
+                            });
+                          }
+                        }}>
+                        {
+                          ['rwkv', 'gpt-4', 'gpt-4-0613', 'gpt-4-32k', 'gpt-4-32k-0613', 'gpt-3.5-turbo', 'gpt-3.5-turbo-0613', 'gpt-3.5-turbo-16k', 'gpt-3.5-turbo-16k-0613']
+                          .map((v, i) =>
+                            <Option key={i} value={v}>{v}</Option>
+                          )
+                        }
+                      </Dropdown>
+                    </div>
+                  } />
+                <Labeled label={t('API Completion Model Name')}
+                  content={
+                    <div className="flex gap-2">
+                      <Input style={{ minWidth: 0 }} className="grow" placeholder="rwkv"
+                        value={commonStore.settings.apiCompletionModelName}
+                        onChange={(e, data) => {
+                          commonStore.setSettings({
+                            apiCompletionModelName: data.value
+                          });
+                        }} />
+                      <Dropdown style={{ minWidth: 0 }} listbox={{ style: { minWidth: 0 } }}
+                        value="..." selectedOptions={[]} expandIcon={null}
+                        onOptionSelect={(_, data) => {
+                          if (data.optionValue) {
+                            commonStore.setSettings({
+                              apiCompletionModelName: data.optionValue
+                            });
+                          }
+                        }}>
+                        {
+                          ['rwkv', 'text-davinci-003', 'text-davinci-002', 'text-curie-001', 'text-babbage-001', 'text-ada-001']
+                          .map((v, i) =>
+                            <Option key={i} value={v}>{v}</Option>
+                          )
+                        }
+                      </Dropdown>
+                    </div>
+                  } />
+              </div>
+            </AccordionPanel>
+          </AccordionItem>
+        </Accordion>
       </div>
     } />
   );

frontend/src/pages/index.tsx

@@ -3,6 +3,7 @@ import { Configs } from './Configs';
 import {
   ArrowDownload20Regular,
   Chat20Regular,
+  ClipboardEdit20Regular,
   DataUsageSettings20Regular,
   DocumentSettings20Regular,
   Home20Regular,
@@ -17,6 +18,7 @@ import { Train } from './Train';
 import { Settings } from './Settings';
 import { About } from './About';
 import { Downloads } from './Downloads';
+import { Completion } from './Completion';
 
 type NavigationItem = {
   label: string;
@@ -41,6 +43,13 @@ export const pages: NavigationItem[] = [
     element: <Chat />,
     top: true
   },
+  {
+    label: 'Completion',
+    path: '/completion',
+    icon: <ClipboardEdit20Regular />,
+    element: <Completion />,
+    top: true
+  },
   {
     label: 'Configs',
     path: '/configs',

frontend/src/startup.ts

@@ -1,9 +1,11 @@
-import commonStore from './stores/commonStore';
-import { ReadJson } from '../wailsjs/go/backend_golang/App';
-import { Cache, checkUpdate, downloadProgramFiles, LocalConfig, refreshModels, saveCache } from './utils';
+import commonStore, { Platform } from './stores/commonStore';
+import { GetPlatform, ReadJson } from '../wailsjs/go/backend_golang/App';
+import { Cache, checkUpdate, downloadProgramFiles, LocalConfig, refreshModels } from './utils';
 import { getStatus } from './apis';
 import { EventsOn } from '../wailsjs/runtime';
-import { defaultModelConfigs } from './pages/Configs';
+import manifest from '../../manifest.json';
+import { defaultModelConfigs, defaultModelConfigsMac } from './pages/defaultModelConfigs';
+import { Preset } from './pages/PresetsManager/PresetsButton';
 
 export async function startup() {
   downloadProgramFiles();
@@ -12,27 +14,32 @@ export async function startup() {
       commonStore.setDownloadList(data);
   });
 
-  initCache().then(initRemoteText);
-
+  initPresets();
+  
+  await GetPlatform().then(p => commonStore.setPlatform(p as Platform));
   await initConfig();
 
+  initCache(true).then(initRemoteText); // depends on config customModelsPath
+
   if (commonStore.settings.autoUpdatesCheck) // depends on config settings
     checkUpdate();
 
-  getStatus(500).then(status => { // depends on config api port
+  getStatus(1000).then(status => { // depends on config api port
     if (status)
-      commonStore.setModelStatus(status);
+      commonStore.setStatus(status);
   });
 }
 
 async function initRemoteText() {
-  await fetch('https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/manifest.json', { cache: 'no-cache' })
+  await fetch('https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner@master/manifest.json', { cache: 'no-cache' })
   .then(r => r.json()).then((data) => {
-    if (data.introduction)
-      commonStore.setIntroduction(data.introduction);
-    if (data.about)
-      commonStore.setAbout(data.about);
-  }).then(saveCache);
+    if (data.version > manifest.version) {
+      if (data.introduction)
+        commonStore.setIntroduction(data.introduction);
+      if (data.about)
+        commonStore.setAbout(data.about);
+    }
+  });
 }
 
 async function initConfig() {
@@ -50,19 +57,22 @@ async function initConfig() {
       configData.currentModelConfigIndex >= 0 && configData.currentModelConfigIndex < configData.modelConfigs.length)
       commonStore.setCurrentConfigIndex(configData.currentModelConfigIndex, false);
   }).catch(() => {
-    commonStore.setModelConfigs(defaultModelConfigs, true);
+    commonStore.setModelConfigs(commonStore.platform != 'darwin' ? defaultModelConfigs : defaultModelConfigsMac, true);
   });
 }
 
-async function initCache() {
+async function initCache(initUnfinishedModels: boolean) {
   await ReadJson('cache.json').then((cacheData: Cache) => {
-    if (cacheData.introduction)
-      commonStore.setIntroduction(cacheData.introduction);
-    if (cacheData.about)
-      commonStore.setAbout(cacheData.about);
     if (cacheData.depComplete)
       commonStore.setDepComplete(cacheData.depComplete);
   }).catch(() => {
   });
-  await refreshModels(false);
-}
+  await refreshModels(false, initUnfinishedModels);
+}
+
+async function initPresets() {
+  await ReadJson('presets.json').then((presets: Preset[]) => {
+    commonStore.setPresets(presets, false);
+  }).catch(() => {
+  });
+}

frontend/src/stores/commonStore.ts

@@ -1,15 +1,19 @@
 import { makeAutoObservable } from 'mobx';
-import { getUserLanguage, isSystemLightMode, saveConfigs } from '../utils';
+import { getUserLanguage, isSystemLightMode, saveConfigs, savePresets } from '../utils';
 import { WindowSetDarkTheme, WindowSetLightTheme } from '../../wailsjs/runtime';
 import manifest from '../../../manifest.json';
-import { defaultModelConfigs, ModelConfig } from '../pages/Configs';
-import { Conversations } from '../pages/Chat';
+import { ModelConfig } from '../pages/Configs';
+import { Conversation } from '../pages/Chat';
 import { ModelSourceItem } from '../pages/Models';
 import { DownloadStatus } from '../pages/Downloads';
 import { SettingsType } from '../pages/Settings';
 import { IntroductionContent } from '../pages/Home';
 import { AboutContent } from '../pages/About';
 import i18n from 'i18next';
+import { CompletionPreset } from '../pages/Completion';
+import { defaultModelConfigs, defaultModelConfigsMac } from '../pages/defaultModelConfigs';
+import commonStore from './commonStore';
+import { Preset } from '../pages/PresetsManager/PresetsButton';
 
 export enum ModelStatus {
   Offline,
@@ -18,30 +22,62 @@ export enum ModelStatus {
   Working,
 }
 
+export type Status = {
+  status: ModelStatus;
+  pid: number;
+  device_name: string;
+}
+
+export type Platform = 'windows' | 'darwin' | 'linux';
+
 class CommonStore {
   // global
-  modelStatus: ModelStatus = ModelStatus.Offline;
+  status: Status = {
+    status: ModelStatus.Offline,
+    pid: 0,
+    device_name: 'CPU'
+  };
   depComplete: boolean = false;
+  platform: Platform = 'windows';
+  // presets manager
+  editingPreset: Preset | null = null;
+  presets: Preset[] = [];
   // home
   introduction: IntroductionContent = manifest.introduction;
   // chat
-  conversations: Conversations = {};
-  conversationsOrder: string[] = [];
+  currentInput: string = '';
+  conversation: Conversation = {};
+  conversationOrder: string[] = [];
+  activePreset: Preset | null = null;
+  // completion
+  completionPreset: CompletionPreset | null = null;
+  completionGenerating: boolean = false;
+  completionSubmittedPrompt: string = '';
   // configs
   currentModelConfigIndex: number = 0;
   modelConfigs: ModelConfig[] = [];
   // models
-  modelSourceManifestList: string = 'https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/manifest.json;';
+  modelSourceManifestList: string = 'https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner@master/manifest.json;';
   modelSourceList: ModelSourceItem[] = [];
   // downloads
   downloadList: DownloadStatus[] = [];
+  lastUnfinishedModelDownloads: DownloadStatus[] = [];
   // settings
+  advancedCollapsed: boolean = true;
   settings: SettingsType = {
     language: getUserLanguage(),
     darkMode: !isSystemLightMode(),
     autoUpdatesCheck: true,
     giteeUpdatesSource: getUserLanguage() === 'zh',
-    cnMirror: getUserLanguage() === 'zh'
+    cnMirror: getUserLanguage() === 'zh',
+    host: '127.0.0.1',
+    dpiScaling: 100,
+    customModelsPath: './models',
+    customPythonPath: '',
+    apiUrl: '',
+    apiKey: 'sk-',
+    apiChatModelName: 'rwkv',
+    apiCompletionModelName: 'rwkv'
   };
   // about
   about: AboutContent = manifest.about;
@@ -54,8 +90,8 @@ class CommonStore {
     return this.modelConfigs[this.currentModelConfigIndex];
   };
 
-  setModelStatus = (status: ModelStatus) => {
-    this.modelStatus = status;
+  setStatus = (status: Partial<Status>) => {
+    this.status = { ...this.status, ...status };
   };
 
   setCurrentConfigIndex = (index: number, saveConfig: boolean = true) => {
@@ -71,14 +107,17 @@ class CommonStore {
   };
 
   setModelConfigs = (configs: ModelConfig[], saveConfig: boolean = true) => {
-    this.modelConfigs = configs;
+    this.modelConfigs = JSON.parse(JSON.stringify(configs)); // deep copy
     if (saveConfig)
       saveConfigs();
   };
 
   createModelConfig = (config: ModelConfig = defaultModelConfigs[0], saveConfig: boolean = true) => {
-    if (config.name === defaultModelConfigs[0].name)
+    if (config.name === defaultModelConfigs[0].name) {
+      // deep copy
+      config = JSON.parse(JSON.stringify(commonStore.platform != 'darwin' ? defaultModelConfigs[0] : defaultModelConfigsMac[0]));
       config.name = new Date().toLocaleString();
+    }
     this.modelConfigs.push(config);
     if (saveConfig)
       saveConfigs();
@@ -138,13 +177,55 @@ class CommonStore {
     this.downloadList = value;
   };
 
-  setConversations = (value: Conversations) => {
-    this.conversations = value;
+  setConversation = (value: Conversation) => {
+    this.conversation = value;
   };
 
-  setConversationsOrder = (value: string[]) => {
-    this.conversationsOrder = value;
+  setConversationOrder = (value: string[]) => {
+    this.conversationOrder = value;
   };
+
+  setCompletionPreset(value: CompletionPreset) {
+    this.completionPreset = value;
+  }
+
+  setCompletionGenerating(value: boolean) {
+    this.completionGenerating = value;
+  }
+
+  setPlatform(value: Platform) {
+    this.platform = value;
+  }
+
+  setCurrentInput(value: string) {
+    this.currentInput = value;
+  }
+
+  setAdvancedCollapsed(value: boolean) {
+    this.advancedCollapsed = value;
+  }
+
+  setLastUnfinishedModelDownloads(value: DownloadStatus[]) {
+    this.lastUnfinishedModelDownloads = value;
+  }
+
+  setEditingPreset(value: Preset) {
+    this.editingPreset = value;
+  }
+
+  setPresets(value: Preset[], savePreset: boolean = true) {
+    this.presets = value;
+    if (savePreset)
+      savePresets();
+  }
+
+  setActivePreset(value: Preset) {
+    this.activePreset = value;
+  }
+
+  setCompletionSubmittedPrompt(value: string) {
+    this.completionSubmittedPrompt = value;
+  }
 }
 
 export default new CommonStore();

frontend/src/utils/get-conversation-pairs.ts

@@ -1,27 +0,0 @@
-export type Record = {
-  question: string;
-  answer: string;
-}
-
-export type ConversationPair = {
-  role: string;
-  content: string;
-}
-
-export function getConversationPairs(records: Record[], isCompletion: boolean): string | ConversationPair[] {
-  let pairs;
-  if (isCompletion) {
-    pairs = '';
-    for (const record of records) {
-      pairs += 'Human: ' + record.question + '\nAI: ' + record.answer + '\n';
-    }
-  } else {
-    pairs = [];
-    for (const record of records) {
-      pairs.push({ role: 'user', content: record.question });
-      pairs.push({ role: 'assistant', content: record.answer });
-    }
-  }
-
-  return pairs;
-}

frontend/src/utils/index.tsx

@@ -1,9 +1,8 @@
 import {
   AddToDownloadList,
   DeleteFile,
-  DownloadFile,
-  FileExists,
   ListDirFiles,
+  ReadFileInfo,
   ReadJson,
   SaveJson,
   UpdateApp
@@ -17,13 +16,10 @@ import { Button } from '@fluentui/react-components';
 import { Language, Languages, SettingsType } from '../pages/Settings';
 import { ModelSourceItem } from '../pages/Models';
 import { ModelConfig, ModelParameters } from '../pages/Configs';
-import { IntroductionContent } from '../pages/Home';
-import { AboutContent } from '../pages/About';
+import { DownloadStatus } from '../pages/Downloads';
 
 export type Cache = {
   models: ModelSourceItem[]
-  introduction: IntroductionContent,
-  about: AboutContent
   depComplete: boolean
 }
 
@@ -52,19 +48,22 @@ export async function refreshBuiltInModels(readCache: boolean = false) {
   return cache;
 }
 
-export async function refreshLocalModels(cache: { models: ModelSourceItem[] }, filter: boolean = true) {
+export async function refreshLocalModels(cache: {
+  models: ModelSourceItem[]
+}, filter: boolean = true, initUnfinishedModels: boolean = false) {
   if (filter)
-    cache.models = cache.models.filter(m => !m.isLocal); //TODO BUG cause local but in manifest files to be removed, so currently cache is disabled
+    cache.models = cache.models.filter(m => !m.isComplete); //TODO BUG cause local but in manifest files to be removed, so currently cache is disabled
 
-  await ListDirFiles(manifest.localModelDir).then((data) => {
+  await ListDirFiles(commonStore.settings.customModelsPath).then((data) => {
     cache.models.push(...data.flatMap(d => {
       if (!d.isDir && d.name.endsWith('.pth'))
         return [{
           name: d.name,
           size: d.size,
           lastUpdated: d.modTime,
+          isComplete: true,
           isLocal: true
-        }];
+        }] as ModelSourceItem[];
       return [];
     }));
   }).catch(() => {
@@ -85,17 +84,43 @@ export async function refreshLocalModels(cache: { models: ModelSourceItem[] }, f
           } else {
             cache.models[i] = Object.assign({}, cache.models[j], cache.models[i]);
           }
-        } // else is bad local file
+        } // else is not complete local file
+        cache.models[i].isLocal = true;
+        cache.models[i].localSize = cache.models[j].size;
         cache.models.splice(j, 1);
         j--;
       }
     }
   }
   commonStore.setModelSourceList(cache.models);
+  if (initUnfinishedModels)
+    initLastUnfinishedModelDownloads();
   await saveCache().catch(() => {
   });
 }
 
+function initLastUnfinishedModelDownloads() {
+  const list: DownloadStatus[] = [];
+  commonStore.modelSourceList.forEach((item) => {
+    if (item.isLocal && !item.isComplete) {
+      list.push(
+        {
+          name: item.name,
+          path: `${commonStore.settings.customModelsPath}/${item.name}`,
+          url: item.downloadUrl!,
+          transferred: item.localSize!,
+          size: item.size,
+          speed: 0,
+          progress: item.localSize! / item.size * 100,
+          downloading: false,
+          done: false
+        }
+      );
+    }
+  });
+  commonStore.setLastUnfinishedModelDownloads(list);
+}
+
 export async function refreshRemoteModels(cache: { models: ModelSourceItem[] }) {
   const manifestUrls = commonStore.modelSourceManifestList.split(/[,，;；\n]/);
   const requests = manifestUrls.filter(url => url.endsWith('.json')).map(
@@ -114,16 +139,16 @@ export async function refreshRemoteModels(cache: { models: ModelSourceItem[] })
   cache.models = cache.models.filter((model, index, self) => {
     return model.name.endsWith('.pth')
       && index === self.findIndex(
-        m => m.name === model.name || (m.SHA256 === model.SHA256 && m.size === model.size));
+        m => m.name === model.name || (m.SHA256 && m.SHA256 === model.SHA256 && m.size === model.size));
   });
   commonStore.setModelSourceList(cache.models);
   await saveCache().catch(() => {
   });
 }
 
-export const refreshModels = async (readCache: boolean = false) => {
+export const refreshModels = async (readCache: boolean = false, initUnfinishedModels: boolean = false) => {
   const cache = await refreshBuiltInModels(readCache);
-  await refreshLocalModels(cache);
+  await refreshLocalModels(cache, false, initUnfinishedModels);
   await refreshRemoteModels(cache);
 };
 
@@ -131,13 +156,35 @@ export const getStrategy = (modelConfig: ModelConfig | undefined = undefined) =>
   let params: ModelParameters;
   if (modelConfig) params = modelConfig.modelParameters;
   else params = commonStore.getCurrentModelConfig().modelParameters;
+  const modelName = params.modelName.toLowerCase();
+  const avoidOverflow = params.precision !== 'fp32' && modelName.includes('world') && (modelName.includes('0.1b') || modelName.includes('0.4b') ||
+    modelName.includes('1.5b') || modelName.includes('1b5'));
   let strategy = '';
-  strategy += (params.device === 'CPU' ? 'cpu' : 'cuda') + ' ';
-  strategy += params.device === 'CPU' ? 'fp32' : (params.precision === 'fp16' ? 'fp16' : params.precision === 'int8' ? 'fp16i8' : 'fp32');
-  if (params.storedLayers < params.maxStoredLayers)
-    strategy += ` *${params.storedLayers}+`;
-  if (params.enableHighPrecisionForLastLayer)
-    strategy += ' -> cpu fp32 *1';
+  switch (params.device) {
+    case 'CPU':
+      if (avoidOverflow)
+        strategy = 'cpu fp32 *1 -> ';
+      strategy += 'cpu ';
+      strategy += params.precision === 'int8' ? 'fp32i8' : 'fp32';
+      break;
+    case 'CUDA':
+      if (avoidOverflow)
+        strategy = 'cuda fp32 *1 -> ';
+      strategy += 'cuda ';
+      strategy += params.precision === 'fp16' ? 'fp16' : params.precision === 'int8' ? 'fp16i8' : 'fp32';
+      if (params.storedLayers < params.maxStoredLayers)
+        strategy += ` *${params.storedLayers}+`;
+      break;
+    case 'MPS':
+      if (avoidOverflow)
+        strategy = 'mps fp32 *1 -> ';
+      strategy += 'mps ';
+      strategy += params.precision === 'fp16' ? 'fp16' : params.precision === 'int8' ? 'fp16i8' : 'fp32';
+      break;
+    case 'Custom':
+      strategy = params.customStrategy || '';
+      break;
+  }
   return strategy;
 };
 
@@ -154,13 +201,15 @@ export const saveConfigs = async () => {
 export const saveCache = async () => {
   const data: Cache = {
     models: commonStore.modelSourceList,
-    introduction: commonStore.introduction,
-    about: commonStore.about,
     depComplete: commonStore.depComplete
   };
   return SaveJson('cache.json', data);
 };
 
+export const savePresets = async () => {
+  return SaveJson('presets.json', commonStore.presets);
+};
+
 export function getUserLanguage(): Language {
   // const l = navigator.language.toLowerCase();
   // if (['zh-hk', 'zh-mo', 'zh-tw', 'zh-cht', 'zh-hant'].includes(l)) return 'zhHant'
@@ -176,23 +225,31 @@ export function isSystemLightMode() {
 
 export function downloadProgramFiles() {
   manifest.programFiles.forEach(({ url, path }) => {
-    FileExists(path).then(exists => {
-      if (!exists)
-        AddToDownloadList(path, url);
-    });
+    if (path)
+      ReadFileInfo(path).then(info => {
+        if (info.size == 0 && url)
+          AddToDownloadList(path, url.replace('@master', '@v' + manifest.version));
+      }).catch(() => {
+        if (url)
+          AddToDownloadList(path, url.replace('@master', '@v' + manifest.version));
+      });
   });
 }
 
 export function forceDownloadProgramFiles() {
   manifest.programFiles.forEach(({ url, path }) => {
-    DownloadFile(path, url);
+    if (path && url)
+      AddToDownloadList(path, url.replace('@master', '@v' + manifest.version));
   });
 }
 
-export function deletePythonProgramFiles() {
+export async function deleteDynamicProgramFiles() {
+  let promises: Promise<void>[] = [];
   manifest.programFiles.forEach(({ path }) => {
-    if (path.endsWith('.py') && !path.includes('get-pip.py'))
-      DeleteFile(path);
+    if ((path.endsWith('.py') && !path.includes('get-pip.py')) || path.includes('requirements') || path.endsWith('.pyd'))
+      promises.push(DeleteFile(path));
+  });
+  return await Promise.allSettled(promises).catch(() => {
   });
 }
 
@@ -209,8 +266,7 @@ export function bytesToKb(size: number) {
 }
 
 export async function checkUpdate(notifyEvenLatest: boolean = false) {
-  let updateUrl = '';
-  await fetch(!commonStore.settings.giteeUpdatesSource ?
+  fetch(!commonStore.settings.giteeUpdatesSource ?
     'https://api.github.com/repos/josstorer/RWKV-Runner/releases/latest' :
     'https://gitee.com/api/v5/repos/josc146/RWKV-Runner/releases/latest'
   ).then((r) => {
@@ -219,23 +275,52 @@ export async function checkUpdate(notifyEvenLatest: boolean = false) {
           if (data.tag_name) {
             const versionTag = data.tag_name;
             if (versionTag.replace('v', '') > manifest.version) {
-              updateUrl = !commonStore.settings.giteeUpdatesSource ?
-                `https://github.com/josStorer/RWKV-Runner/releases/download/${versionTag}/RWKV-Runner_windows_x64.exe` :
-                `https://gitee.com/josc146/RWKV-Runner/releases/download/${versionTag}/RWKV-Runner_windows_x64.exe`;
-              toastWithButton(t('New Version Available') + ': ' + versionTag, t('Update'), () => {
-                deletePythonProgramFiles();
-                setTimeout(() => {
-                  UpdateApp(updateUrl).catch((e) => {
-                    toast(t('Update Error, Please restart this program') + ' - ' + e.message || e, {
-                      type: 'error',
-                      position: 'bottom-left',
-                      autoClose: false
-                    });
+              const verifyUrl = !commonStore.settings.giteeUpdatesSource ?
+                `https://api.github.com/repos/josstorer/RWKV-Runner/releases/tags/${versionTag}` :
+                `https://gitee.com/api/v5/repos/josc146/RWKV-Runner/releases/tags/${versionTag}`;
+
+              fetch(verifyUrl).then((r) => {
+                if (r.ok) {
+                  r.json().then((data) => {
+                    if (data.assets && data.assets.length > 0) {
+                      const asset = data.assets.find((a: any) => a.name.toLowerCase().includes(commonStore.platform.toLowerCase()));
+                      if (asset) {
+                        const updateUrl = !commonStore.settings.giteeUpdatesSource ?
+                          `https://github.com/josStorer/RWKV-Runner/releases/download/${versionTag}/${asset.name}` :
+                          `https://gitee.com/josc146/RWKV-Runner/releases/download/${versionTag}/${asset.name}`;
+                        toastWithButton(t('New Version Available') + ': ' + versionTag, t('Update'), () => {
+                          DeleteFile('cache.json');
+                          toast(t('Downloading update, please wait. If it is not completed, please manually download the program from GitHub and replace the original program.'), {
+                            type: 'info',
+                            position: 'bottom-left',
+                            autoClose: false
+                          });
+                          setTimeout(() => {
+                            UpdateApp(updateUrl).then(() => {
+                              toast(t('Update completed, please restart the program.'), {
+                                  type: 'success',
+                                  position: 'bottom-left',
+                                  autoClose: false
+                                }
+                              );
+                            }).catch((e) => {
+                              toast(t('Update Error') + ' - ' + (e.message || e), {
+                                type: 'error',
+                                position: 'bottom-left',
+                                autoClose: false
+                              });
+                            });
+                          }, 500);
+                        }, {
+                          autoClose: false,
+                          position: 'bottom-left'
+                        });
+                      }
+                    }
                   });
-                }, 500);
-              }, {
-                autoClose: false,
-                position: 'bottom-left'
+                } else {
+                  throw new Error('Verify response was not ok.');
+                }
               });
             } else {
               if (notifyEvenLatest) {
@@ -251,19 +336,36 @@ export async function checkUpdate(notifyEvenLatest: boolean = false) {
       }
     }
   ).catch((e) => {
-    toast(t('Updates Check Error') + ' - ' + e.message || e, { type: 'error', position: 'bottom-left' });
+    toast(t('Updates Check Error') + ' - ' + (e.message || e), { type: 'error', position: 'bottom-left' });
   });
-  return updateUrl;
 }
 
 export function toastWithButton(text: string, buttonText: string, onClickButton: () => void, options?: ToastOptions) {
-  return toast(
+  let triggered = false;
+  const id = toast(
     <div className="flex flex-row items-center justify-between">
       <div>{text}</div>
-      <Button appearance="primary" onClick={onClickButton}>{buttonText}</Button>
+      <Button appearance="primary" onClick={() => {
+        if (!triggered) {
+          triggered = true;
+          toast.dismiss(id);
+          onClickButton();
+        }
+      }}>{buttonText}</Button>
     </div>,
     {
       type: 'info',
       ...options
     });
+  return id;
+}
+
+export function getSupportedCustomCudaFile() {
+  if ([' 10', ' 16', ' 20', ' 30', 'MX', 'Tesla P', 'Quadro P', 'NVIDIA P', 'TITAN X', 'TITAN RTX', 'RTX A',
+    'Quadro RTX 4000', 'Quadro RTX 5000', 'Tesla T4', 'NVIDIA A10', 'NVIDIA A40'].some(v => commonStore.status.device_name.includes(v)))
+    return './backend-python/wkv_cuda_utils/wkv_cuda10_30.pyd';
+  else if ([' 40', 'RTX 5000 Ada', 'RTX 6000 Ada', 'RTX TITAN Ada', 'NVIDIA L40'].some(v => commonStore.status.device_name.includes(v)))
+    return './backend-python/wkv_cuda_utils/wkv_cuda40.pyd';
+  else
+    return '';
 }

frontend/wailsjs/go/backend_golang/App.d.ts

@@ -6,11 +6,13 @@ export function AddToDownloadList(arg1:string,arg2:string):Promise<void>;
 
 export function ContinueDownload(arg1:string):Promise<void>;
 
-export function ConvertModel(arg1:string,arg2:string,arg3:string):Promise<string>;
+export function ConvertModel(arg1:string,arg2:string,arg3:string,arg4:string):Promise<string>;
+
+export function CopyFile(arg1:string,arg2:string):Promise<void>;
 
 export function DeleteFile(arg1:string):Promise<void>;
 
-export function DepCheck():Promise<void>;
+export function DepCheck(arg1:string):Promise<void>;
 
 export function DownloadFile(arg1:string,arg2:string):Promise<void>;
 
@@ -18,11 +20,13 @@ export function FileExists(arg1:string):Promise<boolean>;
 
 export function GetPlatform():Promise<string>;
 
-export function InstallPyDep(arg1:boolean):Promise<string>;
+export function InstallPyDep(arg1:string,arg2:boolean):Promise<string>;
 
 export function ListDirFiles(arg1:string):Promise<Array<backend_golang.FileInfo>>;
 
-export function OpenFileFolder(arg1:string):Promise<void>;
+export function OpenFileFolder(arg1:string,arg2:boolean):Promise<void>;
+
+export function OpenSaveFileDialog(arg1:string,arg2:string,arg3:string):Promise<string>;
 
 export function PauseDownload(arg1:string):Promise<void>;
 
@@ -30,8 +34,10 @@ export function ReadFileInfo(arg1:string):Promise<backend_golang.FileInfo>;
 
 export function ReadJson(arg1:string):Promise<any>;
 
+export function RestartApp():Promise<void>;
+
 export function SaveJson(arg1:string,arg2:any):Promise<void>;
 
-export function StartServer(arg1:number):Promise<string>;
+export function StartServer(arg1:string,arg2:number,arg3:string):Promise<string>;
 
 export function UpdateApp(arg1:string):Promise<boolean>;

frontend/wailsjs/go/backend_golang/App.js

@@ -10,16 +10,20 @@ export function ContinueDownload(arg1) {
   return window['go']['backend_golang']['App']['ContinueDownload'](arg1);
 }
 
-export function ConvertModel(arg1, arg2, arg3) {
-  return window['go']['backend_golang']['App']['ConvertModel'](arg1, arg2, arg3);
+export function ConvertModel(arg1, arg2, arg3, arg4) {
+  return window['go']['backend_golang']['App']['ConvertModel'](arg1, arg2, arg3, arg4);
+}
+
+export function CopyFile(arg1, arg2) {
+  return window['go']['backend_golang']['App']['CopyFile'](arg1, arg2);
 }
 
 export function DeleteFile(arg1) {
   return window['go']['backend_golang']['App']['DeleteFile'](arg1);
 }
 
-export function DepCheck() {
-  return window['go']['backend_golang']['App']['DepCheck']();
+export function DepCheck(arg1) {
+  return window['go']['backend_golang']['App']['DepCheck'](arg1);
 }
 
 export function DownloadFile(arg1, arg2) {
@@ -34,16 +38,20 @@ export function GetPlatform() {
   return window['go']['backend_golang']['App']['GetPlatform']();
 }
 
-export function InstallPyDep(arg1) {
-  return window['go']['backend_golang']['App']['InstallPyDep'](arg1);
+export function InstallPyDep(arg1, arg2) {
+  return window['go']['backend_golang']['App']['InstallPyDep'](arg1, arg2);
 }
 
 export function ListDirFiles(arg1) {
   return window['go']['backend_golang']['App']['ListDirFiles'](arg1);
 }
 
-export function OpenFileFolder(arg1) {
-  return window['go']['backend_golang']['App']['OpenFileFolder'](arg1);
+export function OpenFileFolder(arg1, arg2) {
+  return window['go']['backend_golang']['App']['OpenFileFolder'](arg1, arg2);
+}
+
+export function OpenSaveFileDialog(arg1, arg2, arg3) {
+  return window['go']['backend_golang']['App']['OpenSaveFileDialog'](arg1, arg2, arg3);
 }
 
 export function PauseDownload(arg1) {
@@ -58,12 +66,16 @@ export function ReadJson(arg1) {
   return window['go']['backend_golang']['App']['ReadJson'](arg1);
 }
 
+export function RestartApp() {
+  return window['go']['backend_golang']['App']['RestartApp']();
+}
+
 export function SaveJson(arg1, arg2) {
   return window['go']['backend_golang']['App']['SaveJson'](arg1, arg2);
 }
 
-export function StartServer(arg1) {
-  return window['go']['backend_golang']['App']['StartServer'](arg1);
+export function StartServer(arg1, arg2, arg3) {
+  return window['go']['backend_golang']['App']['StartServer'](arg1, arg2, arg3);
 }
 
 export function UpdateApp(arg1) {

main.go

@@ -2,28 +2,64 @@ package main
 
 import (
 	"embed"
+	"os"
+	"runtime/debug"
+	"strings"
 
 	backend "rwkv-runner/backend-golang"
 
 	"github.com/wailsapp/wails/v2"
 	"github.com/wailsapp/wails/v2/pkg/options"
 	"github.com/wailsapp/wails/v2/pkg/options/assetserver"
+	"github.com/wailsapp/wails/v2/pkg/options/windows"
 )
 
 //go:embed all:frontend/dist
 var assets embed.FS
 
+//go:embed all:py310/Lib/site-packages/cyac
+var cyac embed.FS
+
+//go:embed all:py310/Lib/site-packages/cyac-1.7.dist-info
+var cyacInfo embed.FS
+
+//go:embed backend-python
+var py embed.FS
+
 func main() {
+	if buildInfo, ok := debug.ReadBuildInfo(); !ok || strings.Contains(buildInfo.String(), "-ldflags") {
+		backend.CopyEmbed(cyac)
+		backend.CopyEmbed(cyacInfo)
+		backend.CopyEmbed(py)
+		os.Mkdir("models", os.ModePerm)
+	}
+
 	// Create an instance of the app structure
 	app := backend.NewApp()
 
+	var zoomFactor float64 = 1.0
+	data, err := app.ReadJson("config.json")
+	if err == nil {
+		app.HasConfigData = true
+		app.ConfigData = data.(map[string]any)
+		if dpiScaling, ok := app.ConfigData["settings"].(map[string]any)["dpiScaling"]; ok {
+			zoomFactor = dpiScaling.(float64) / 100
+		}
+	} else {
+		app.HasConfigData = false
+	}
+
 	// Create application with options
-	err := wails.Run(&options.App{
+	err = wails.Run(&options.App{
 		Title:     "RWKV-Runner",
 		Width:     1024,
-		Height:    640,
+		Height:    680,
 		MinWidth:  375,
 		MinHeight: 640,
+		Windows: &windows.Options{
+			ZoomFactor:           zoomFactor,
+			IsZoomControlEnabled: true,
+		},
 		AssetServer: &assetserver.Options{
 			Assets: assets,
 		},

manifest.json

@@ -1,116 +1,356 @@
 {
-  "version": "1.0.0",
+  "version": "1.2.9",
   "introduction": {
     "en": "RWKV is an open-source, commercially usable large language model with high flexibility and great potential for development.\n### About This Tool\nThis tool aims to lower the barrier of entry for using large language models, making it accessible to everyone. It provides fully automated dependency and model management. You simply need to click and run, following the instructions, to deploy a local large language model. The tool itself is very compact and only requires a single executable file for one-click deployment.\nAdditionally, this tool offers an interface that is fully compatible with the OpenAI API. This means you can use any ChatGPT client as a client for RWKV, enabling capability expansion beyond just chat functionality.\n### Preset Configuration Rules at the Bottom\nThis tool comes with a series of preset configurations to reduce complexity. The naming rules for each configuration represent the following in order: device - required VRAM/memory - model size - model language.\nFor example, \"GPU-8G-3B-EN\" indicates that this configuration is for a graphics card with 8GB of VRAM, a model size of 3 billion parameters, and it uses an English language model.\nLarger model sizes have higher performance and VRAM requirements. Among configurations with the same model size, those with higher VRAM usage will have faster runtime.\nFor example, if you have 12GB of VRAM but running the \"GPU-12G-7B-EN\" configuration is slow, you can downgrade to \"GPU-8G-3B-EN\" for a significant speed improvement.\n### About RWKV\nRWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the \"GPT\" mode to quickly compute the hidden state for the \"RNN\" mode.<br/>So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, \"infinite\" ctx_len, and free sentence embedding (using the final hidden state).",
     "zh": "RWKV是一个开源且允许商用的大语言模型，灵活性很高且极具发展潜力。\n### 关于本工具\n本工具旨在降低大语言模型的使用门槛，做到人人可用，本工具提供了全自动化的依赖和模型管理，你只需要直接点击运行，跟随引导，即可完成本地大语言模型的部署，工具本身体积极小，只需要一个exe即可完成一键部署。\n此外，本工具提供了与OpenAI API完全兼容的接口，这意味着你可以把任意ChatGPT客户端用作RWKV的客户端，实现能力拓展，而不局限于聊天。\n### 底部的预设配置规则\n本工具内置了一系列预设配置，以降低使用难度，每个配置名的规则，依次代表着：设备-所需显存/内存-模型规模-模型语言。\n例如，GPU-8G-3B-CN，表示该配置用于显卡，需要8G显存，模型规模为30亿参数，使用的是中文模型。\n模型规模越大，性能要求越高，显存要求也越高，而同样模型规模的配置中，显存占用越高的，运行速度越快。\n例如当你有12G显存，但运行GPU-12G-7B-CN配置速度比较慢，可降级成GPU-8G-3B-CN，将会大幅提速。\n### 关于RWKV\nRWKV是具有Transformer级别LLM性能的RNN，也可以像GPT Transformer一样直接进行训练（可并行化）。而且它是100% attention-free的。你只需在位置t处获得隐藏状态即可计算位置t + 1处的状态。你可以使用“GPT”模式快速计算用于“RNN”模式的隐藏状态。\n因此，它将RNN和Transformer的优点结合起来 - 高性能、快速推理、节省显存、快速训练、“无限”上下文长度以及免费的语句嵌入（使用最终隐藏状态）。"
   },
   "about": {
-    "en": "<div align=\"center\">\n\nProject Source Code:\nhttps://github.com/josStorer/RWKV-Runner\nAuthor: [@josStorer](https://github.com/josStorer)\n\nRelated Repositories:\nRWKV-4-Raven: https://huggingface.co/BlinkDL/rwkv-4-raven/tree/main\nChatRWKV: https://github.com/BlinkDL/ChatRWKV\nRWKV-LM: https://github.com/BlinkDL/RWKV-LM\n\n</div>",
-    "zh": "<div align=\"center\">\n\n本项目源码:\nhttps://github.com/josStorer/RWKV-Runner\n作者: [@josStorer](https://github.com/josStorer)\n\n相关仓库:\nRWKV-4-Raven: https://huggingface.co/BlinkDL/rwkv-4-raven/tree/main\nChatRWKV: https://github.com/BlinkDL/ChatRWKV\nRWKV-LM: https://github.com/BlinkDL/RWKV-LM\n\n</div>"
+    "en": "<div align=\"center\">\n\nProject Source Code:\nhttps://github.com/josStorer/RWKV-Runner\nAuthor: [@josStorer](https://github.com/josStorer)\nFAQs: https://github.com/josStorer/RWKV-Runner/wiki/FAQs\n\nRelated Repositories:\nRWKV-4-Raven: https://huggingface.co/BlinkDL/rwkv-4-raven/tree/main\nChatRWKV: https://github.com/BlinkDL/ChatRWKV\nRWKV-LM: https://github.com/BlinkDL/RWKV-LM\n\n</div>",
+    "zh": "<div align=\"center\">\n\n本项目源码:\nhttps://github.com/josStorer/RWKV-Runner\n作者: [@josStorer](https://github.com/josStorer)\n演示与常见问题说明视频: https://www.bilibili.com/video/BV1hM4y1v76R\n疑难解答: https://www.bilibili.com/read/cv23921171\n\n相关仓库:\nRWKV-4-Raven: https://huggingface.co/BlinkDL/rwkv-4-raven/tree/main\nChatRWKV: https://github.com/BlinkDL/ChatRWKV\nRWKV-LM: https://github.com/BlinkDL/RWKV-LM\n\n</div>"
   },
-  "localModelDir": "models",
   "programFiles": [
     {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/requirements.txt",
-      "path": "backend-python/requirements.txt"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/requirements_versions.txt",
-      "path": "backend-python/requirements_versions.txt"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/main.py",
-      "path": "backend-python/main.py"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/global_var.py",
-      "path": "backend-python/global_var.py"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/convert_model.py",
-      "path": "backend-python/convert_model.py"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/dep_check.py",
-      "path": "backend-python/dep_check.py"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/routes/completion.py",
-      "path": "backend-python/routes/completion.py"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/routes/config.py",
-      "path": "backend-python/routes/config.py"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/utils/ngrok.py",
-      "path": "backend-python/utils/ngrok.py"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/utils/rwkv.py",
-      "path": "backend-python/utils/rwkv.py"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/utils/torch.py",
-      "path": "backend-python/utils/torch.py"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/josstorer/RWKV-Runner/backend-python/20B_tokenizer.json",
-      "path": "backend-python/20B_tokenizer.json"
-    },
-    {
-      "url": "https://cdn.jsdelivr.net/gh/pypa/get-pip/public/get-pip.py",
-      "path": "backend-python/get-pip.py"
+      "url": "",
+      "path": ""
     }
   ],
   "models": [
     {
-      "name": "RWKV-4-Raven-3B-v11-Eng99%-Other1%-20230425-ctx4096.pth",
+      "name": "RWKV-4-World-CHNtuned-0.1B-v1-20230617-ctx4096.pth",
       "desc": {
-        "en": "English 3B v11",
-        "zh": "英文 3B v11"
+        "en": "Global Languages 0.1B v1 Enhanced Chinese",
+        "zh": "全球语言 0.1B v1 中文增强"
       },
-      "size": 5969345074,
-      "SHA256": "982ad3d794efe58992db23c6d694c57a9e62d54718264ec6d6acfae5eb0eea12",
-      "lastUpdated": "2023-04-26T14:27:55",
-      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-3B-v11-Eng99%25-Other1%25-20230425-ctx4096.pth",
-      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-3B-v11-Eng99%25-Other1%25-20230425-ctx4096.pth"
+      "size": 385594610,
+      "SHA256": "a3888f9958d378ee6d4976ae1c02edb698f4382e426086febafb4a69417b9080",
+      "lastUpdated": "2023-06-17T18:35:26",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-CHNtuned-0.1B-v1-20230617-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-CHNtuned-0.1B-v1-20230617-ctx4096.pth"
     },
     {
-      "name": "RWKV-4-Raven-7B-v10x-Eng49%-Chn50%-Other1%-20230423-ctx4096.pth",
+      "name": "RWKV-4-World-0.1B-v1-20230520-ctx4096.pth",
       "desc": {
-        "en": "Chinese 7B v10x",
-        "zh": "中文 7B v10x"
+        "en": "Global Languages 0.1B v1",
+        "zh": "全球语言 0.1B v1"
       },
-      "size": 14785389874,
-      "SHA256": "7aaf40bb3d440a949db3a146b0a5bbb3e925942b496775b51f5630a582fc236d",
-      "lastUpdated": "2023-04-24T07:48:55",
-      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-7B-v10x-Eng49%25-Chn50%25-Other1%25-20230423-ctx4096.pth",
-      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-7B-v10x-Eng49%25-Chn50%25-Other1%25-20230423-ctx4096.pth"
+      "size": 385594610,
+      "SHA256": "a10ef99df2a8f8a6801edf4fc92a9c49bedd63dcb900d3e5667a2136b3d671e7",
+      "lastUpdated": "2023-05-25T09:21:27",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-0.1B-v1-20230520-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-0.1B-v1-20230520-ctx4096.pth"
     },
     {
-      "name": "RWKV-4-Raven-7B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230430-ctx8192.pth",
+      "name": "RWKV-4-World-CHNtuned-0.4B-v1-20230618-ctx4096.pth",
       "desc": {
-        "en": "Chinese 7B v11",
-        "zh": "中文 7B v11"
+        "en": "Global Languages 0.4B v1 Enhanced Chinese",
+        "zh": "全球语言 0.4B v1 中文增强"
       },
-      "size": 14785389874,
-      "SHA256": "9e67a74964abcb4463711e447ddf47735561d7b40592d2d02b29d2e796a4fd14",
-      "lastUpdated": "2023-04-30T14:35:59",
-      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-7B-v11-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230430-ctx8192.pth",
-      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-7B-v11-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230430-ctx8192.pth"
+      "size": 923362866,
+      "SHA256": "dbd5302cbee596bbc900f97eb10b2af3001a7f2c7e4d8643bf8683b2cdbdd324",
+      "lastUpdated": "2023-06-18T10:46:50",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-CHNtuned-0.4B-v1-20230618-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-CHNtuned-0.4B-v1-20230618-ctx4096.pth"
     },
     {
-      "name": "RWKV-4-Raven-7B-v11x-Eng99%-Other1%-20230429-ctx8192.pth",
+      "name": "RWKV-4-World-0.4B-v1-20230529-ctx4096.pth",
       "desc": {
-        "en": "English 7B v11x",
-        "zh": "英文 7B v11x"
+        "en": "Global Languages 0.4B v1",
+        "zh": "全球语言 0.4B v1"
       },
-      "size": 14785389874,
-      "SHA256": "f00d5c75b453f2b20ad875fb5a324564c34024eea25a015f5eb441e4f364c3fe",
-      "lastUpdated": "2023-04-29T11:44:32",
-      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-7B-v11x-Eng99%25-Other1%25-20230429-ctx8192.pth",
-      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-7B-v11x-Eng99%25-Other1%25-20230429-ctx8192.pth"
+      "size": 923362866,
+      "SHA256": "4b4a2733cf5e5dc97dd62106f391d99895d16b11c5ccd10c89f28c52067a4919",
+      "lastUpdated": "2023-05-29T13:25:53",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-0.4B-v1-20230529-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-0.4B-v1-20230529-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-World-CHNtuned-1.5B-v1-20230620-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 1.5B v1 Enhanced Chinese",
+        "zh": "全球语言 1.5B v1 中文增强"
+      },
+      "size": 3155281586,
+      "SHA256": "9f31f2ed5fe52dcf2d50208eb2efd764b9674dba2adb1baeff61997b4390a26b",
+      "lastUpdated": "2023-06-20T06:35:37",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-CHNtuned-1.5B-v1-20230620-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-CHNtuned-1.5B-v1-20230620-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-World-1.5B-v1-OnlyForTest_57%_trained-20230529-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 1.5B v1 Test",
+        "zh": "全球语言 1.5B v1 测试"
+      },
+      "size": 3155281581,
+      "SHA256": "ac36770931776c5aa179690918c9a3b0b5f4ebe3301ea3574a7e182209778788",
+      "lastUpdated": "2023-05-29T13:25:53",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-1.5B-v1-OnlyForTest_57%25_trained-20230529-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-1.5B-v1-OnlyForTest_57%25_trained-20230529-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-1.5B-v1-OnlyForTest_81%_trained-20230603-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 1.5B v1 Test",
+        "zh": "全球语言 1.5B v1 测试"
+      },
+      "size": 3155281581,
+      "SHA256": "044fb10daa71f4c012493ac8ef455c8c3301095b5f009dae58f0f6382a53e23c",
+      "lastUpdated": "2023-06-03T13:57:20",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-1.5B-v1-OnlyForTest_81%25_trained-20230603-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-1.5B-v1-OnlyForTest_81%25_trained-20230603-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-1.5B-v1-20230607-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 1.5B v1",
+        "zh": "全球语言 1.5B v1"
+      },
+      "size": 3155281586,
+      "SHA256": "05bad4ab0ce41250064153d5352587b83215a82eb50134489675129bd4ad1087",
+      "lastUpdated": "2023-06-07T09:33:32",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-1.5B-v1-20230607-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-1.5B-v1-20230607-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 1.5B v1 fixed",
+        "zh": "全球语言 1.5B v1 修复"
+      },
+      "size": 3155281586,
+      "SHA256": "71f0c3229f9227cbcb8ae5fee6461197129a57e26366c4d23a49058417b046c9",
+      "lastUpdated": "2023-06-12T06:31:32",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-1.5B-v1-fixed-20230612-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-World-3B-v1-OnlyForTest_35%_trained-20230529-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 3B v1 Test",
+        "zh": "全球语言 3B v1 测试"
+      },
+      "size": 6125597613,
+      "SHA256": "e4ee6e91a80d56de43bc79841f3a8be3b7b215d7d9788f79c467b9b1f7f03cb8",
+      "lastUpdated": "2023-05-29T13:25:53",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-3B-v1-OnlyForTest_35%25_trained-20230529-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-3B-v1-OnlyForTest_35%25_trained-20230529-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-3B-v1-OnlyForTest_52%_trained-20230603-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 3B v1 Test",
+        "zh": "全球语言 3B v1 测试"
+      },
+      "size": 6125597613,
+      "SHA256": "aad3671078a0c686368add4f4b695a76c2ba1ddd505a64c0949bb003beeee9a3",
+      "lastUpdated": "2023-06-03T13:57:20",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-3B-v1-OnlyForTest_52%25_trained-20230603-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-3B-v1-OnlyForTest_52%25_trained-20230603-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-3B-v1-OnlyForTest_64%_trained-20230607-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 3B v1 Test",
+        "zh": "全球语言 3B v1 测试"
+      },
+      "size": 6125597613,
+      "SHA256": "49e8675e09e0786ca12a554442c37b9e809ed93e9211af937cd149968a6b81e9",
+      "lastUpdated": "2023-06-07T09:33:32",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-3B-v1-OnlyForTest_64%25_trained-20230607-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-3B-v1-OnlyForTest_64%25_trained-20230607-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-3B-v1-OnlyForTest_80%_trained-20230612-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 3B v1 Test",
+        "zh": "全球语言 3B v1 测试"
+      },
+      "size": 6125597613,
+      "SHA256": "3bb10caf3017871435d83f39facc8a729fd774020390153470f004eb3ef645bd",
+      "lastUpdated": "2023-06-12T06:31:32",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-3B-v1-OnlyForTest_80%25_trained-20230612-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-3B-v1-OnlyForTest_80%25_trained-20230612-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-3B-v1-20230619-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 3B v1",
+        "zh": "全球语言 3B v1"
+      },
+      "size": 6125597618,
+      "SHA256": "1b227af317fa25b6939ab3c7cd321226ca48b8fe4bbbd2df3db669f1482c54ba",
+      "lastUpdated": "2023-06-20T03:00:51",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-3B-v1-20230619-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-3B-v1-20230619-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-World-CHNtuned-3B-v1-20230625-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 3B v1 Enhanced Chinese",
+        "zh": "全球语言 3B v1 中文增强"
+      },
+      "size": 6125597618,
+      "SHA256": "7d3b5a4d0e9780a3e3d9ae7c2defbe8564d240bc9a238db4ba70cfb66dc33888",
+      "lastUpdated": "2023-06-25T14:53:27",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-CHNtuned-3B-v1-20230625-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-CHNtuned-3B-v1-20230625-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-World-7B-v1-OnlyForTest_30%_trained-20230529-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 7B v1 Test",
+        "zh": "全球语言 7B v1 测试"
+      },
+      "size": 15035393581,
+      "SHA256": "05f91562b2ae8b025226e40b3fb536d6f8eb3c142ac899c0808ee1c9dc189ec4",
+      "lastUpdated": "2023-05-29T13:25:53",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-7B-v1-OnlyForTest_30%25_trained-20230529-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-7B-v1-OnlyForTest_30%25_trained-20230529-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-7B-v1-OnlyForTest_40%_trained-20230601-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 7B v1 Test",
+        "zh": "全球语言 7B v1 测试"
+      },
+      "size": 15035393581,
+      "SHA256": "63c060c472e45b6c3af2baaaee448ffd95f9b46e3cc6e1ef70ce7ecb1d01bcfa",
+      "lastUpdated": "2023-06-02T00:09:39",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-7B-v1-OnlyForTest_40%25_trained-20230601-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-7B-v1-OnlyForTest_40%25_trained-20230601-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-7B-v1-OnlyForTest_52%_trained-20230606-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 7B v1 Test",
+        "zh": "全球语言 7B v1 测试"
+      },
+      "size": 15035393581,
+      "SHA256": "636405626eadbab230e1a7dc2855bb6244e09b5850547dda7103f650b4849de7",
+      "lastUpdated": "2023-06-06T14:21:31",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-7B-v1-OnlyForTest_52%25_trained-20230606-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-7B-v1-OnlyForTest_52%25_trained-20230606-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-7B-v1-OnlyForTest_64%_trained-20230610-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 7B v1 Test",
+        "zh": "全球语言 7B v1 测试"
+      },
+      "size": 15035393581,
+      "SHA256": "8039be276f555318a5b2e9ad82b9d70001c12bd2e3e668048615fc7b09d5d9a4",
+      "lastUpdated": "2023-06-11T01:58:29",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-7B-v1-OnlyForTest_64%25_trained-20230610-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-7B-v1-OnlyForTest_64%25_trained-20230610-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-7B-v1-OnlyForTest_75%_trained-20230615-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 7B v1 Test",
+        "zh": "全球语言 7B v1 测试"
+      },
+      "size": 15035393581,
+      "SHA256": "a5f4246a18698a350a49988de7a8a01cbd765f8d11ee6427cabb93bf659f2d0d",
+      "lastUpdated": "2023-06-15T15:09:11",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-7B-v1-OnlyForTest_75%25_trained-20230615-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-7B-v1-OnlyForTest_75%25_trained-20230615-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-7B-v1-OnlyForTest_84%_trained-20230618-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 7B v1 Test",
+        "zh": "全球语言 7B v1 测试"
+      },
+      "size": 15035393581,
+      "SHA256": "dfb56e8ba32907cb47df83c8d702e7f350d9ad50a59b71b031da4681637588b3",
+      "lastUpdated": "2023-06-19T01:28:17",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-7B-v1-OnlyForTest_84%25_trained-20230618-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-7B-v1-OnlyForTest_84%25_trained-20230618-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-World-7B-v1-20230626-ctx4096.pth",
+      "desc": {
+        "en": "Global Languages 7B v1",
+        "zh": "全球语言 7B v1"
+      },
+      "size": 15035393586,
+      "SHA256": "db7b011247a0fe4389e1d76e3d6a904185f85d509c8a44ad18bf401094efc293",
+      "lastUpdated": "2023-06-26T16:40:04",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-world/blob/main/RWKV-4-World-7B-v1-20230626-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-world/resolve/main/RWKV-4-World-7B-v1-20230626-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-Novel-7B-v1-ChnEng-ChnPro-20230410-ctx4096.pth",
+      "desc": {
+        "en": "Professional Writer 7B v1",
+        "zh": "专业写作 7B v1"
+      },
+      "size": 14785389618,
+      "SHA256": "cd40b661930dea46c0f930c51d99cef6b484fe3d641388981dee5a0c68e2b1c7",
+      "lastUpdated": "2023-04-10T13:55:52",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-novel/blob/main/RWKV-4-Novel-7B-v1-ChnEng-ChnPro-20230410-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-novel/resolve/main/RWKV-4-Novel-7B-v1-ChnEng-ChnPro-20230410-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-Novel-3B-v1-ChnEng-20230412-ctx4096.pth",
+      "desc": {
+        "en": "Balanced Writer 3B v1",
+        "zh": "均衡写作 3B v1"
+      },
+      "size": 5969345064,
+      "SHA256": "283c6e6fa10c52a93e9a01d9630f288473267ea152a49c6579b5c0427bdc9c61",
+      "lastUpdated": "2023-04-12T13:18:29",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-novel/blob/main/RWKV-4-Novel-3B-v1-ChnEng-20230412-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-novel/resolve/main/RWKV-4-Novel-3B-v1-ChnEng-20230412-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-Novel-7B-v1-ChnEng-20230426-ctx8192.pth",
+      "desc": {
+        "en": "Balanced Writer 7B v1",
+        "zh": "均衡写作 7B v1"
+      },
+      "size": 14785389864,
+      "SHA256": "bd08c75a296bd193dcfadb993fe06d7f9dd91ca3385231f24c592c89d25cd596",
+      "lastUpdated": "2023-04-26T18:57:01",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-novel/blob/main/RWKV-4-Novel-7B-v1-ChnEng-20230426-ctx8192.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-novel/resolve/main/RWKV-4-Novel-7B-v1-ChnEng-20230426-ctx8192.pth"
+    },
+    {
+      "name": "RWKV-4-Novel-3B-v1-Chn-20230412-ctx4096.pth",
+      "desc": {
+        "en": "Popular Writer 3B v1",
+        "zh": "通俗写作 3B v1"
+      },
+      "size": 5969345064,
+      "SHA256": "c41e0af2cbc66e94121377680e8224a1504fac6c9ea620c395f0a79281db26e7",
+      "lastUpdated": "2023-04-12T13:18:29",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-novel/blob/main/RWKV-4-Novel-3B-v1-Chn-20230412-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-novel/resolve/main/RWKV-4-Novel-3B-v1-Chn-20230412-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-Novel-7B-v1-Chn-20230426-ctx8192.pth",
+      "desc": {
+        "en": "Popular Writer 7B v1",
+        "zh": "通俗写作 7B v1"
+      },
+      "size": 14785389864,
+      "SHA256": "5fced44febdf80d303250eef9c020f087abded43aaecc8caaea8a9e7f1fb771e",
+      "lastUpdated": "2023-04-26T18:57:01",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-novel/blob/main/RWKV-4-Novel-7B-v1-Chn-20230426-ctx8192.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-novel/resolve/main/RWKV-4-Novel-7B-v1-Chn-20230426-ctx8192.pth"
     },
     {
       "name": "RWKV-4-Raven-1B5-v11-Eng99%-Other1%-20230425-ctx4096.pth",
@@ -122,7 +362,45 @@
       "SHA256": "4ac715aecc5b1c90e8e37eebb8163392699066ec23b18144416e91cb4e78675a",
       "lastUpdated": "2023-04-26T14:27:55",
       "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-1B5-v11-Eng99%25-Other1%25-20230425-ctx4096.pth",
-      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%25-Other1%25-20230425-ctx4096.pth"
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%25-Other1%25-20230425-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-Raven-1B5-v12-Eng98%-Other2%-20230520-ctx4096.pth",
+      "desc": {
+        "en": "English 1B5 v12",
+        "zh": "英文 1B5 v12"
+      },
+      "size": 3030279730,
+      "SHA256": "6bbbffb3ee2372dfa9ef49c599e9a2bc0a01b94b6a264ba9bf5bd524fc38f723",
+      "lastUpdated": "2023-05-21T07:08:56",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-1B5-v12-Eng98%25-Other2%25-20230520-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-1B5-v12-Eng98%25-Other2%25-20230520-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-Raven-3B-v11-Eng99%-Other1%-20230425-ctx4096.pth",
+      "desc": {
+        "en": "English 3B v11",
+        "zh": "英文 3B v11"
+      },
+      "size": 5969345074,
+      "SHA256": "982ad3d794efe58992db23c6d694c57a9e62d54718264ec6d6acfae5eb0eea12",
+      "lastUpdated": "2023-04-26T14:27:55",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-3B-v11-Eng99%25-Other1%25-20230425-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-3B-v11-Eng99%25-Other1%25-20230425-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-Raven-3B-v12-Eng98%-Other2%-20230520-ctx4096.pth",
+      "desc": {
+        "en": "English 3B v12",
+        "zh": "英文 3B v12"
+      },
+      "size": 5969345074,
+      "SHA256": "1eea1845acfe9729dfdaec66a8d1aeb91a1287d94bebbca5529c13c050540b33",
+      "lastUpdated": "2023-05-21T07:13:25",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-3B-v12-Eng98%25-Other2%25-20230520-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-3B-v12-Eng98%25-Other2%25-20230520-ctx4096.pth"
     },
     {
       "name": "RWKV-4-Raven-3B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230429-ctx4096.pth",
@@ -134,7 +412,83 @@
       "SHA256": "af12300d9875e0e166c23d6e9b20928db435073060bf1d36f874060de92ada98",
       "lastUpdated": "2023-04-29T11:51:51",
       "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-3B-v11-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230429-ctx4096.pth",
-      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-3B-v11-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230429-ctx4096.pth"
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-3B-v11-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230429-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-Raven-3B-v12-Eng49%-Chn49%-Jpn1%-Other1%-20230527-ctx4096.pth",
+      "desc": {
+        "en": "Chinese 3B v12",
+        "zh": "中文 3B v12"
+      },
+      "size": 5969345330,
+      "SHA256": "c0abb4b745ba3523b9d8b3e1293110867ee55b1ef3dc8c122212f78396755721",
+      "lastUpdated": "2023-05-28T11:51:12",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-3B-v12-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230527-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-3B-v12-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230527-ctx4096.pth"
+    },
+    {
+      "name": "RWKV-4-Raven-7B-v11x-Eng99%-Other1%-20230429-ctx8192.pth",
+      "desc": {
+        "en": "English 7B v11x",
+        "zh": "英文 7B v11x"
+      },
+      "size": 14785389874,
+      "SHA256": "f00d5c75b453f2b20ad875fb5a324564c34024eea25a015f5eb441e4f364c3fe",
+      "lastUpdated": "2023-04-29T11:44:32",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-7B-v11x-Eng99%25-Other1%25-20230429-ctx8192.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-7B-v11x-Eng99%25-Other1%25-20230429-ctx8192.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-Raven-7B-v12-Eng98%-Other2%-20230521-ctx8192.pth",
+      "desc": {
+        "en": "English 7B v12",
+        "zh": "英文 7B v12"
+      },
+      "size": 14785389618,
+      "SHA256": "5a725eaeb9e09b724de6c97e6845dd0283097c7920acd05b46852ab7afa9ec32",
+      "lastUpdated": "2023-05-22T10:32:17",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-7B-v12-Eng98%25-Other2%25-20230521-ctx8192.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-7B-v12-Eng98%25-Other2%25-20230521-ctx8192.pth"
+    },
+    {
+      "name": "RWKV-4-Raven-7B-v10x-Eng49%-Chn50%-Other1%-20230423-ctx4096.pth",
+      "desc": {
+        "en": "Chinese 7B v10x",
+        "zh": "中文 7B v10x"
+      },
+      "size": 14785389874,
+      "SHA256": "7aaf40bb3d440a949db3a146b0a5bbb3e925942b496775b51f5630a582fc236d",
+      "lastUpdated": "2023-04-24T07:48:55",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-7B-v10x-Eng49%25-Chn50%25-Other1%25-20230423-ctx4096.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-7B-v10x-Eng49%25-Chn50%25-Other1%25-20230423-ctx4096.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-Raven-7B-v11-Eng49%-Chn49%-Jpn1%-Other1%-20230430-ctx8192.pth",
+      "desc": {
+        "en": "Chinese 7B v11",
+        "zh": "中文 7B v11"
+      },
+      "size": 14785389874,
+      "SHA256": "9e67a74964abcb4463711e447ddf47735561d7b40592d2d02b29d2e796a4fd14",
+      "lastUpdated": "2023-04-30T14:35:59",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-7B-v11-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230430-ctx8192.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-7B-v11-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230430-ctx8192.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-Raven-7B-v12-Eng49%-Chn49%-Jpn1%-Other1%-20230530-ctx8192.pth",
+      "desc": {
+        "en": "Chinese 7B v12",
+        "zh": "中文 7B v12"
+      },
+      "size": 14785389874,
+      "SHA256": "6d4a089ff36d5d9d96b669d425fc5e4e3959cab426535b52e2364df08f58b407",
+      "lastUpdated": "2023-05-30T23:16:12",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-7B-v12-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230530-ctx8192.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-7B-v12-Eng49%25-Chn49%25-Jpn1%25-Other1%25-20230530-ctx8192.pth"
     },
     {
       "name": "RWKV-4-Raven-14B-v11x-Eng99%-Other1%-20230501-ctx8192.pth",
@@ -146,7 +500,20 @@
       "SHA256": "c4bc72406c3c62613e8e2592e8d07ac045f8a88381c728f8eb60af890e299f4d",
       "lastUpdated": "2023-05-02T09:43:33",
       "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-14B-v11x-Eng99%25-Other1%25-20230501-ctx8192.pth",
-      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-14B-v11x-Eng99%25-Other1%25-20230501-ctx8192.pth"
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-14B-v11x-Eng99%25-Other1%25-20230501-ctx8192.pth",
+      "hide": true
+    },
+    {
+      "name": "RWKV-4-Raven-14B-v12-Eng98%-Other2%-20230523-ctx8192.pth",
+      "desc": {
+        "en": "English 14B v12",
+        "zh": "英文 14B v12"
+      },
+      "size": 28297309490,
+      "SHA256": "1193b5a9ceab572e4dbb9ed1d798eab7bf4793d18904d08bd4bf183579338ae7",
+      "lastUpdated": "2023-05-23T11:22:41",
+      "url": "https://huggingface.co/BlinkDL/rwkv-4-raven/blob/main/RWKV-4-Raven-14B-v12-Eng98%25-Other2%25-20230523-ctx8192.pth",
+      "downloadUrl": "https://huggingface.co/BlinkDL/rwkv-4-raven/resolve/main/RWKV-4-Raven-14B-v12-Eng98%25-Other2%25-20230523-ctx8192.pth"
     }
   ]
 }

vendor.yml

@@ -0,0 +1,6 @@
+- ^backend-python/rwkv_pip/
+- ^backend-python/wkv_cuda_utils/
+- ^backend-python/get-pip\.py
+- ^backend-python/convert_model\.py
+- ^build/
+- ^frontend/wailsjs/