release v1.3.4

.github/workflows/release.yml

@@ -83,6 +83,8 @@ jobs:
           go install github.com/wailsapp/wails/v2/cmd/wails@latest
           rm -rf ./backend-python/wkv_cuda_utils
           rm ./backend-python/get-pip.py
+          sed -i '1,2d' ./backend-golang/wsl_not_windows.go
+          rm ./backend-golang/wsl.go
           make
           mv build/bin/RWKV-Runner build/bin/RWKV-Runner_linux_x64
 
@@ -102,6 +104,8 @@ jobs:
           go install github.com/wailsapp/wails/v2/cmd/wails@latest
           rm -rf ./backend-python/wkv_cuda_utils
           rm ./backend-python/get-pip.py
+          sed -i '1,2d' ./backend-golang/wsl_not_windows.go
+          rm ./backend-golang/wsl.go
           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

CURRENT_CHANGE.md

@@ -1,7 +1,7 @@
 ## Changes
 
-- lora finetune (need to be refactored)
-- reduce package size for linux and macos
+- improve finetune compatibility
+- fix build for macos and linux
 
 ## Install
 

backend-golang/wsl.go

@@ -1,3 +1,5 @@
+//go:build windows
+
 package backend_golang
 
 import (
@@ -8,7 +10,6 @@ import (
 	"os"
 	"os/exec"
 	"path/filepath"
-	"runtime"
 	"strings"
 	"time"
 
@@ -37,10 +38,6 @@ func isWslRunning() (bool, error) {
 }
 
 func (a *App) WslStart() error {
-	if runtime.GOOS != "windows" {
-		return errors.New("wsl not supported")
-	}
-
 	running, err := isWslRunning()
 	if err != nil {
 		return err
@@ -100,10 +97,6 @@ func (a *App) WslStart() error {
 }
 
 func (a *App) WslCommand(command string) error {
-	if runtime.GOOS != "windows" {
-		return errors.New("wsl not supported")
-	}
-
 	running, err := isWslRunning()
 	if err != nil {
 		return err
@@ -119,10 +112,6 @@ func (a *App) WslCommand(command string) error {
 }
 
 func (a *App) WslStop() error {
-	if runtime.GOOS != "windows" {
-		return errors.New("wsl not supported")
-	}
-
 	running, err := isWslRunning()
 	if err != nil {
 		return err
@@ -142,10 +131,6 @@ func (a *App) WslStop() error {
 }
 
 func (a *App) WslIsEnabled() error {
-	if runtime.GOOS != "windows" {
-		return errors.New("wsl not supported")
-	}
-
 	ex, err := os.Executable()
 	if err != nil {
 		return err
@@ -177,10 +162,6 @@ func (a *App) WslIsEnabled() error {
 }
 
 func (a *App) WslEnable(forceMode bool) error {
-	if runtime.GOOS != "windows" {
-		return errors.New("wsl not supported")
-	}
-
 	cmd := `/online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux`
 	_, err := su.ShellExecute(su.RUNAS, "dism", cmd, `C:\`)
 	if err != nil {
@@ -193,10 +174,6 @@ func (a *App) WslEnable(forceMode bool) error {
 }
 
 func (a *App) WslInstallUbuntu() error {
-	if runtime.GOOS != "windows" {
-		return errors.New("wsl not supported")
-	}
-
-	exec.Command("start", "ms-windows-store://pdp/?ProductId=9PN20MSR04DW").Start()
-	return nil
+	_, err := Cmd("ms-windows-store://pdp/?ProductId=9PN20MSR04DW")
+	return err
 }

backend-golang/wsl_not_windows.go

@@ -0,0 +1,31 @@
+//go:build darwin || linux
+
+package backend_golang
+
+import (
+	"errors"
+)
+
+func (a *App) WslStart() error {
+	return errors.New("wsl not supported")
+}
+
+func (a *App) WslCommand(command string) error {
+	return errors.New("wsl not supported")
+}
+
+func (a *App) WslStop() error {
+	return errors.New("wsl not supported")
+}
+
+func (a *App) WslIsEnabled() error {
+	return errors.New("wsl not supported")
+}
+
+func (a *App) WslEnable(forceMode bool) error {
+	return errors.New("wsl not supported")
+}
+
+func (a *App) WslInstallUbuntu() error {
+	return errors.New("wsl not supported")
+}

finetune/install-wsl-dep-and-train.sh

@@ -11,13 +11,13 @@ fi
 if dpkg -s "python3-pip" >/dev/null 2>&1; then
   echo "pip installed"
 else
-  sudo apt install python3-pip
+  sudo apt -y install python3-pip
 fi
 
 if dpkg -s "ninja-build" >/dev/null 2>&1; then
   echo "ninja installed"
 else
-  sudo apt install ninja-build
+  sudo apt -y install ninja-build
 fi
 
 if dpkg -s "cuda" >/dev/null 2>&1; then

finetune/json2binidx_tool/tools/preprocess_data.py

@@ -17,11 +17,14 @@
 
 """Processing data for pretraining."""
 
-import argparse
-import multiprocessing
 import os
 import sys
 
+sys.path.append(os.path.dirname(os.path.realpath(__file__)))
+
+import argparse
+import multiprocessing
+
 import lm_dataformat as lmd
 import numpy as np
 

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

@@ -195,7 +195,7 @@
   "Please convert data first.": "请先转换数据",
   "Ubuntu is not installed, do you want to install it?": "Ubuntu未安装，是否安装？",
   "Install Ubuntu": "安装Ubuntu",
-  "Please install Ubuntu using Microsoft Store": "请用Microsoft Store安装Ubuntu",
+  "Please install Ubuntu using Microsoft Store, after installation click the Open button in Microsoft Store and then click the Train button": "请用Microsoft Store安装Ubuntu，安装完成后，点击Microsoft Store界面的“打开”按钮，然后点击“训练”按钮",
   "WSL is not enabled, do you want to enable it?": "WSL未启用，是否启用？",
   "Enable WSL": "启用WSL",
   "After installation, please restart your computer to enable WSL": "安装完成后，请重启电脑以启用WSL",
@@ -221,5 +221,7 @@
   "Pre-FFN": "前馈网络预处理",
   "None": "空",
   "Merge model successfully": "合并模型成功",
-  "Convert Data successfully": "数据转换成功"
+  "Convert Data successfully": "数据转换成功",
+  "Please select a LoRA model": "请选择一个LoRA模型",
+  "You are using sample data for training. For formal training, please make sure to create your own jsonl file.": "你正在使用示例数据训练，对于正式训练场合，请务必创建你自己的jsonl训练数据"
 }

frontend/src/components/RunButton.tsx

@@ -1,23 +1,16 @@
 import React, { FC, MouseEventHandler, ReactElement } from 'react';
 import commonStore, { ModelStatus } from '../stores/commonStore';
-import {
-  AddToDownloadList,
-  CopyFile,
-  DepCheck,
-  FileExists,
-  InstallPyDep,
-  StartServer
-} from '../../wailsjs/go/backend_golang/App';
+import { AddToDownloadList, CopyFile, FileExists, StartServer } from '../../wailsjs/go/backend_golang/App';
 import { Button } from '@fluentui/react-components';
 import { observer } from 'mobx-react-lite';
 import { exit, getStatus, readRoot, switchModel, updateConfig } from '../apis';
 import { toast } from 'react-toastify';
-import { getStrategy, getSupportedCustomCudaFile, toastWithButton } from '../utils';
+import { checkDependencies, getStrategy, getSupportedCustomCudaFile, 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 { BrowserOpenURL, WindowShow } from '../../wailsjs/runtime/runtime';
+import { WindowShow } from '../../wailsjs/runtime/runtime';
 
 const mainButtonText = {
   [ModelStatus.Offline]: 'Run',
@@ -57,52 +50,9 @@ export const RunButton: FC<{ onClickRun?: MouseEventHandler, iconMode?: boolean
         return;
       }
 
-      if (!commonStore.depComplete) {
-        let depErrorMsg = '';
-        await DepCheck(commonStore.settings.customPythonPath).catch((e) => {
-          depErrorMsg = e.message || e;
-          WindowShow();
-          if (depErrorMsg === 'python zip not found') {
-            toastWithButton(t('Python target not found, would you like to download it?'), t('Download'), () => {
-              toastWithButton(`${t('Downloading')} Python`, t('Check'), () => {
-                navigate({ pathname: '/downloads' });
-              }, { autoClose: 3000 });
-              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')) {
-            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.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');
-      }
+      const ok = await checkDependencies(navigate);
+      if (!ok)
+        return;
 
       const currentModelSource = commonStore.modelSourceList.find(item => item.name === modelName);
 

frontend/src/pages/Train.tsx

@@ -17,7 +17,7 @@ import { toast } from 'react-toastify';
 import commonStore from '../stores/commonStore';
 import { observer } from 'mobx-react-lite';
 import { SelectTabEventHandler } from '@fluentui/react-tabs';
-import { refreshLocalModels, toastWithButton } from '../utils';
+import { checkDependencies, refreshLocalModels, toastWithButton } from '../utils';
 import { Section } from '../components/Section';
 import { Labeled } from '../components/Labeled';
 import { ToolTipButton } from '../components/ToolTipButton';
@@ -36,6 +36,7 @@ import {
 } from 'chart.js';
 import { Line } from 'react-chartjs-2';
 import { ChartJSOrUndefined } from 'react-chartjs-2/dist/types';
+import { WindowShow } from '../../wailsjs/runtime';
 
 ChartJS.register(
   CategoryScale,
@@ -187,10 +188,10 @@ const Terminal: FC = observer(() => {
       WslStart().then(() => {
         addWslMessage('WSL> ' + input);
         setInput('');
-        WslCommand(input).catch((e) => {
+        WslCommand(input).catch((e: any) => {
           toast((e.message || e), { type: 'error' });
         });
-      }).catch((e) => {
+      }).catch((e: any) => {
         toast((e.message || e), { type: 'error' });
       });
     }
@@ -207,7 +208,7 @@ const Terminal: FC = observer(() => {
         <Button onClick={() => {
           WslStop().then(() => {
             toast(t('Command Stopped'), { type: 'success' });
-          }).catch((e) => {
+          }).catch((e: any) => {
             toast((e.message || e), { type: 'error' });
           });
         }}>
@@ -250,13 +251,28 @@ const LoraFinetune: FC = observer(() => {
       });
   }, []);
 
-  const StartLoraFinetune = () => {
+  const StartLoraFinetune = async () => {
+    const ok = await checkDependencies(navigate);
+    if (!ok)
+      return;
+
+    const convertedDataPath = `./finetune/json2binidx_tool/data/${dataParams.dataPath.split('/').pop()!.split('.')[0]}_text_document`;
+    if (!await FileExists(convertedDataPath + '.idx')) {
+      toast(t('Please convert data first.'), { type: 'error' });
+      return;
+    }
+
     WslIsEnabled().then(() => {
-      WslStart().then(async () => {
-        const convertedDataPath = `./finetune/json2binidx_tool/data/${dataParams.dataPath.split('/').pop()!.split('.')[0]}_text_document`;
-        if (!await FileExists(convertedDataPath + '.idx')) {
-          toast(t('Please convert data first.'), { type: 'error' });
-          return;
+      WslStart().then(() => {
+        setTimeout(WindowShow, 1000);
+
+        let ctxLen = loraParams.ctxLen;
+        if (dataParams.dataPath === 'finetune/data/sample.jsonl') {
+          ctxLen = 150;
+          toast(t('You are using sample data for training. For formal training, please make sure to create your own jsonl file.'), {
+            type: 'info',
+            autoClose: 6000
+          });
         }
 
         commonStore.setChartData({
@@ -272,12 +288,13 @@ const LoraFinetune: FC = observer(() => {
         });
         WslCommand(`export cnMirror=${commonStore.settings.cnMirror ? '1' : '0'} ` +
           `&& export loadModel=models/${loraParams.baseModel} ` +
+          `&& sed -i 's/\\r$//' finetune/install-wsl-dep-and-train.sh ` +
           `&& chmod +x finetune/install-wsl-dep-and-train.sh && ./finetune/install-wsl-dep-and-train.sh ` +
           (loraParams.baseModel ? `--load_model models/${loraParams.baseModel} ` : '') +
           (loraParams.loraLoad ? `--lora_load lora-models/${loraParams.loraLoad} ` : '') +
           `--data_file ${convertedDataPath} ` +
           `--vocab_size ${loraParams.baseModel.toLowerCase().includes('world') ? '65536' : '50277'} ` +
-          `--ctx_len ${loraParams.ctxLen} --epoch_steps ${loraParams.epochSteps} --epoch_count ${loraParams.epochCount} ` +
+          `--ctx_len ${ctxLen} --epoch_steps ${loraParams.epochSteps} --epoch_count ${loraParams.epochCount} ` +
           `--epoch_begin ${loraParams.epochBegin} --epoch_save ${loraParams.epochSave} ` +
           `--micro_bsz ${loraParams.microBsz} --accumulate_grad_batches ${loraParams.accumGradBatches} ` +
           `--pre_ffn ${loraParams.preFfn ? '1' : '0'} --head_qk ${loraParams.headQk ? '1' : '0'} --lr_init ${loraParams.lrInit} --lr_final ${loraParams.lrFinal} ` +
@@ -285,15 +302,20 @@ const LoraFinetune: FC = observer(() => {
           `--beta1 ${loraParams.beta1} --beta2 ${loraParams.beta2} --adam_eps ${loraParams.adamEps} ` +
           `--devices ${loraParams.devices} --precision ${loraParams.precision} ` +
           `--grad_cp ${loraParams.gradCp ? '1' : '0'} ` +
-          `--lora_r ${loraParams.loraR} --lora_alpha ${loraParams.loraAlpha} --lora_dropout ${loraParams.loraDropout}`).catch((e) => {
+          `--lora_r ${loraParams.loraR} --lora_alpha ${loraParams.loraAlpha} --lora_dropout ${loraParams.loraDropout}`).catch((e: any) => {
           toast((e.message || e), { type: 'error' });
         });
       }).catch(e => {
         const msg = e.message || e;
         if (msg === 'ubuntu not found') {
+          WindowShow();
           toastWithButton(t('Ubuntu is not installed, do you want to install it?'), t('Install Ubuntu'), () => {
             WslInstallUbuntu().then(() => {
-              toast(t('Please install Ubuntu using Microsoft Store'), { type: 'info', autoClose: 6000 });
+              WindowShow();
+              toast(t('Please install Ubuntu using Microsoft Store, after installation click the Open button in Microsoft Store and then click the Train button'), {
+                type: 'info',
+                autoClose: 10000
+              });
             });
           });
         }
@@ -302,8 +324,10 @@ const LoraFinetune: FC = observer(() => {
       const msg = e.message || e;
 
       const enableWsl = (forceMode: boolean) => {
+        WindowShow();
         toastWithButton(t('WSL is not enabled, do you want to enable it?'), t('Enable WSL'), () => {
           WslEnable(forceMode).then(() => {
+            WindowShow();
             toast(t('After installation, please restart your computer to enable WSL'), {
               type: 'info',
               autoClose: false
@@ -380,7 +404,7 @@ const LoraFinetune: FC = observer(() => {
                     './finetune/json2binidx_tool/data/' + dataParams.dataPath.split('/').pop()!.split('.')[0],
                     dataParams.vocabPath).then(() => {
                     toast(t('Convert Data successfully'), { type: 'success' });
-                  }).catch((e) => {
+                  }).catch((e: any) => {
                     toast((e.message || e), { type: 'error' });
                   });
                 }}>{t('Convert')}</Button>
@@ -424,15 +448,22 @@ const LoraFinetune: FC = observer(() => {
                   <option key={index} value={name}>{name}</option>
                 )}
               </Select>
-              <Button onClick={() => {
-                MergeLora(commonStore.settings.customPythonPath, true, loraParams.loraAlpha,
-                  'models/' + loraParams.baseModel, 'lora-models/' + loraParams.loraLoad,
-                  `models/${loraParams.baseModel}-LoRA-${loraParams.loraLoad}`).then(() => {
-                  toast(t('Merge model successfully'), { type: 'success' });
-                  refreshLocalModels({ models: commonStore.modelSourceList }, false);
-                }).catch((e) => {
-                  toast((e.message || e), { type: 'error' });
-                });
+              <Button onClick={async () => {
+                const ok = await checkDependencies(navigate);
+                if (!ok)
+                  return;
+                if (loraParams.loraLoad) {
+                  MergeLora(commonStore.settings.customPythonPath, true, loraParams.loraAlpha,
+                    'models/' + loraParams.baseModel, 'lora-models/' + loraParams.loraLoad,
+                    `models/${loraParams.baseModel}-LoRA-${loraParams.loraLoad}`).then(() => {
+                    toast(t('Merge model successfully'), { type: 'success' });
+                    refreshLocalModels({ models: commonStore.modelSourceList }, false);
+                  }).catch((e: any) => {
+                    toast((e.message || e), { type: 'error' });
+                  });
+                } else {
+                  toast(t('Please select a LoRA model'), { type: 'info' });
+                }
               }}>{t('Merge Model')}</Button>
             </div>
             {
@@ -491,7 +522,7 @@ const LoraFinetune: FC = observer(() => {
         <Button appearance="secondary" size="large" onClick={() => {
           WslStop().then(() => {
             toast(t('Command Stopped'), { type: 'success' });
-          }).catch((e) => {
+          }).catch((e: any) => {
             toast((e.message || e), { type: 'error' });
           });
         }}>{t('Stop')}</Button>

frontend/src/startup.ts

@@ -59,6 +59,9 @@ async function initConfig() {
     if (configData.dataProcessParams)
       commonStore.setDataProcessParams(configData.dataProcessParams, false);
 
+    if (configData.loraFinetuneParams)
+      commonStore.setLoraFinetuneParameters(configData.loraFinetuneParams, false);
+
     if (configData.modelConfigs && Array.isArray(configData.modelConfigs))
       commonStore.setModelConfigs(configData.modelConfigs, false);
     else throw new Error('Invalid config.json');

frontend/src/utils/index.tsx

@@ -1,6 +1,9 @@
 import {
   AddToDownloadList,
+  CopyFile,
   DeleteFile,
+  DepCheck,
+  InstallPyDep,
   ListDirFiles,
   ReadFileInfo,
   ReadJson,
@@ -8,7 +11,7 @@ import {
   UpdateApp
 } from '../../wailsjs/go/backend_golang/App';
 import manifest from '../../../manifest.json';
-import commonStore from '../stores/commonStore';
+import commonStore, { ModelStatus } from '../stores/commonStore';
 import { toast } from 'react-toastify';
 import { t } from 'i18next';
 import { ToastOptions } from 'react-toastify/dist/types';
@@ -18,6 +21,8 @@ import { ModelSourceItem } from '../pages/Models';
 import { ModelConfig, ModelParameters } from '../pages/Configs';
 import { DownloadStatus } from '../pages/Downloads';
 import { DataProcessParameters, LoraFinetuneParameters } from '../pages/Train';
+import { BrowserOpenURL, WindowShow } from '../../wailsjs/runtime';
+import { NavigateFunction } from 'react-router';
 
 export type Cache = {
   version: string
@@ -347,6 +352,56 @@ export async function checkUpdate(notifyEvenLatest: boolean = false) {
   });
 }
 
+export const checkDependencies = async (navigate: NavigateFunction) => {
+  if (!commonStore.depComplete) {
+    let depErrorMsg = '';
+    await DepCheck(commonStore.settings.customPythonPath).catch((e) => {
+      depErrorMsg = e.message || e;
+      WindowShow();
+      if (depErrorMsg === 'python zip not found') {
+        toastWithButton(t('Python target not found, would you like to download it?'), t('Download'), () => {
+          toastWithButton(`${t('Downloading')} Python`, t('Check'), () => {
+            navigate({ pathname: '/downloads' });
+          }, { autoClose: 3000 });
+          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')) {
+        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.setStatus({ status: ModelStatus.Offline });
+      return false;
+    }
+    commonStore.setDepComplete(true);
+    if (commonStore.platform === 'windows')
+      CopyFile('./backend-python/wkv_cuda_utils/wkv_cuda_model.py', './py310/Lib/site-packages/rwkv/model.py');
+  }
+  return true;
+};
+
 export function toastWithButton(text: string, buttonText: string, onClickButton: () => void, options?: ToastOptions) {
   let triggered = false;
   const id = toast(

main.go

@@ -37,6 +37,7 @@ func main() {
 		backend.CopyEmbed(finetune)
 		os.Mkdir("models", os.ModePerm)
 		os.Mkdir("lora-models", os.ModePerm)
+		os.Mkdir("finetune/json2binidx_tool/data", os.ModePerm)
 	}
 
 	f, err := os.Create("lora-models/train_log.txt")

manifest.json

@@ -1,5 +1,5 @@
 {
-  "version": "1.3.1",
+  "version": "1.3.3",
   "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）。"