improve details
This commit is contained in:
josc146
@@ -1,22 +1,23 @@
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import {Dropdown, Input, Label, Option, Select, Switch} from '@fluentui/react-components';
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import {AddCircle20Regular, DataUsageSettings20Regular, Delete20Regular, Save20Regular} from '@fluentui/react-icons';
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import React, {FC} from 'react';
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import {Section} from '../components/Section';
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import {Labeled} from '../components/Labeled';
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import {ToolTipButton} from '../components/ToolTipButton';
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import { Dropdown, Input, Label, Option, Select, Switch } from '@fluentui/react-components';
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import { AddCircle20Regular, DataUsageSettings20Regular, Delete20Regular, Save20Regular } from '@fluentui/react-icons';
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import React, { FC } from 'react';
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import { Section } from '../components/Section';
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import { Labeled } from '../components/Labeled';
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import { ToolTipButton } from '../components/ToolTipButton';
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import commonStore from '../stores/commonStore';
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import {observer} from 'mobx-react-lite';
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import {toast} from 'react-toastify';
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import {ValuedSlider} from '../components/ValuedSlider';
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import {NumberInput} from '../components/NumberInput';
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import {Page} from '../components/Page';
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import {useNavigate} from 'react-router';
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import {RunButton} from '../components/RunButton';
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import {updateConfig} from '../apis';
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import {ConvertModel, FileExists} from '../../wailsjs/go/backend_golang/App';
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import { observer } from 'mobx-react-lite';
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import { toast } from 'react-toastify';
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import { ValuedSlider } from '../components/ValuedSlider';
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import { NumberInput } from '../components/NumberInput';
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import { Page } from '../components/Page';
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import { useNavigate } from 'react-router';
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import { RunButton } from '../components/RunButton';
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import { updateConfig } from '../apis';
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import { ConvertModel, FileExists } from '../../wailsjs/go/backend_golang/App';
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import manifest from '../../../manifest.json';
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import {getStrategy, refreshLocalModels} from '../utils';
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import {useTranslation} from 'react-i18next';
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import { getStrategy, refreshLocalModels } from '../utils';
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import { useTranslation } from 'react-i18next';
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import { WindowShow } from '../../wailsjs/runtime/runtime';
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export type ApiParameters = {
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apiPort: number
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@@ -70,7 +71,7 @@ export const defaultModelConfigs: ModelConfig[] = [
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];
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export const Configs: FC = observer(() => {
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const {t} = useTranslation();
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const { t } = useTranslation();
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const [selectedIndex, setSelectedIndex] = React.useState(commonStore.currentModelConfigIndex);
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const [selectedConfig, setSelectedConfig] = React.useState(commonStore.modelConfigs[selectedIndex]);
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const navigate = useNavigate();
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@@ -85,7 +86,7 @@ export const Configs: FC = observer(() => {
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};
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const setSelectedConfigName = (newName: string) => {
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setSelectedConfig({...selectedConfig, name: newName});
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setSelectedConfig({ ...selectedConfig, name: newName });
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};
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const setSelectedConfigApiParams = (newParams: Partial<ApiParameters>) => {
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@@ -115,39 +116,39 @@ export const Configs: FC = observer(() => {
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presence_penalty: selectedConfig.apiParameters.presencePenalty,
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frequency_penalty: selectedConfig.apiParameters.frequencyPenalty
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});
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toast(t('Config Saved'), {autoClose: 300, type: 'success'});
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toast(t('Config Saved'), { autoClose: 300, type: 'success' });
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};
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return (
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<Page title={t('Configs')} content={
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<div className="flex flex-col gap-2 overflow-hidden">
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<div className="flex gap-2 items-center">
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<Dropdown style={{minWidth: 0}} className="grow" value={commonStore.modelConfigs[selectedIndex].name}
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selectedOptions={[selectedIndex.toString()]}
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onOptionSelect={(_, data) => {
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if (data.optionValue) {
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updateSelectedIndex(Number(data.optionValue));
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}
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}}>
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<Dropdown style={{ minWidth: 0 }} className="grow" value={commonStore.modelConfigs[selectedIndex].name}
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selectedOptions={[selectedIndex.toString()]}
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onOptionSelect={(_, data) => {
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if (data.optionValue) {
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updateSelectedIndex(Number(data.optionValue));
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}
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}}>
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{commonStore.modelConfigs.map((config, index) =>
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<Option key={index} value={index.toString()}>{config.name}</Option>
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)}
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</Dropdown>
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<ToolTipButton desc={t('New Config')} icon={<AddCircle20Regular/>} onClick={() => {
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<ToolTipButton desc={t('New Config')} icon={<AddCircle20Regular />} onClick={() => {
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commonStore.createModelConfig();
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updateSelectedIndex(commonStore.modelConfigs.length - 1);
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}}/>
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<ToolTipButton desc={t('Delete Config')} icon={<Delete20Regular/>} onClick={() => {
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}} />
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<ToolTipButton desc={t('Delete Config')} icon={<Delete20Regular />} onClick={() => {
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commonStore.deleteModelConfig(selectedIndex);
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updateSelectedIndex(Math.min(selectedIndex, commonStore.modelConfigs.length - 1));
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}}/>
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<ToolTipButton desc={t('Save Config')} icon={<Save20Regular/>} onClick={onClickSave}/>
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}} />
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<ToolTipButton desc={t('Save Config')} icon={<Save20Regular />} onClick={onClickSave} />
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</div>
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<div className="flex items-center gap-4">
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<Label>{t('Config Name')}</Label>
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<Input className="grow" value={selectedConfig.name} onChange={(e, data) => {
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setSelectedConfigName(data.value);
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}}/>
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}} />
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</div>
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<div className="flex flex-col gap-2 overflow-y-hidden">
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<Section
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@@ -156,71 +157,71 @@ export const Configs: FC = observer(() => {
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content={
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<div className="grid grid-cols-1 sm:grid-cols-2 gap-2">
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<Labeled label={t('API Port')}
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desc={t('Open the following URL with your browser to view the API documentation') + `: http://127.0.0.1:${port}/docs. ` +
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t('This tool’s API is compatible with OpenAI API. It can be used with any ChatGPT tool you like. Go to the settings of some ChatGPT tool, replace the \'https://api.openai.com\' part in the API address with \'') + `http://127.0.0.1:${port}` + '\'.'}
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content={
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<NumberInput value={port} min={1} max={65535} step={1}
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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apiPort: data.value
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});
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}}/>
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}/>
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desc={t('Open the following URL with your browser to view the API documentation') + `: http://127.0.0.1:${port}/docs. ` +
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t('This tool’s API is compatible with OpenAI API. It can be used with any ChatGPT tool you like. Go to the settings of some ChatGPT tool, replace the \'https://api.openai.com\' part in the API address with \'') + `http://127.0.0.1:${port}` + '\'.'}
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content={
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<NumberInput value={port} min={1} max={65535} step={1}
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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apiPort: data.value
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});
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}} />
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} />
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<Labeled label={t('Max Response Token *')}
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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.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.maxResponseToken} min={100} max={8100}
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step={400}
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input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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maxResponseToken: data.value
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});
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}}/>
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}/>
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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.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.maxResponseToken} min={100} max={8100}
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step={400}
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input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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maxResponseToken: data.value
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});
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}} />
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} />
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<Labeled label={t('Temperature *')}
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desc={t('Sampling temperature, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.temperature} min={0} max={2} step={0.1}
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input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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temperature: data.value
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});
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}}/>
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}/>
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desc={t('Sampling temperature, the higher the stronger the randomness and creativity, while the lower, the more focused and deterministic it will be.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.temperature} min={0} max={2} step={0.1}
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input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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temperature: data.value
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});
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}} />
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} />
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<Labeled label={t('Top_P *')}
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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.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.topP} min={0} max={1} step={0.1} input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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topP: data.value
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});
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}}/>
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}/>
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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.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.topP} min={0} max={1} step={0.1} input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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topP: data.value
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});
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}} />
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} />
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<Labeled label={t('Presence Penalty *')}
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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.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.presencePenalty} min={-2} max={2}
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step={0.1} input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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presencePenalty: data.value
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});
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}}/>
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}/>
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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.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.presencePenalty} min={-2} max={2}
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step={0.1} input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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presencePenalty: data.value
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});
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}} />
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} />
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<Labeled label={t('Frequency Penalty *')}
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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.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.frequencyPenalty} min={-2} max={2}
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step={0.1} input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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frequencyPenalty: data.value
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});
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}}/>
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}/>
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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.')}
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content={
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<ValuedSlider value={selectedConfig.apiParameters.frequencyPenalty} min={-2} max={2}
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step={0.1} input
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onChange={(e, data) => {
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setSelectedConfigApiParams({
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frequencyPenalty: data.value
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});
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}} />
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} />
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</div>
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}
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/>
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@@ -230,99 +231,100 @@ export const Configs: FC = observer(() => {
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<div className="grid grid-cols-1 sm:grid-cols-2 gap-2">
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<Labeled label={t('Model')} content={
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<div className="flex gap-2 grow">
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<Select style={{minWidth: 0}} className="grow"
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value={selectedConfig.modelParameters.modelName}
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onChange={(e, data) => {
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setSelectedConfigModelParams({
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modelName: data.value
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});
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}}>
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<Select style={{ minWidth: 0 }} className="grow"
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value={selectedConfig.modelParameters.modelName}
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onChange={(e, data) => {
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setSelectedConfigModelParams({
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modelName: data.value
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});
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}}>
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{commonStore.modelSourceList.map((modelItem, index) =>
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modelItem.isLocal && <option key={index} value={modelItem.name}>{modelItem.name}</option>
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)}
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</Select>
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<ToolTipButton desc={t('Manage Models')} icon={<DataUsageSettings20Regular/>} onClick={() => {
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navigate({pathname: '/models'});
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}}/>
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<ToolTipButton desc={t('Manage Models')} icon={<DataUsageSettings20Regular />} onClick={() => {
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navigate({ pathname: '/models' });
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}} />
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</div>
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}/>
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} />
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<ToolTipButton text={t('Convert')} desc={t('Convert model with these configs')} onClick={async () => {
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const modelPath = `${manifest.localModelDir}/${selectedConfig.modelParameters.modelName}`;
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if (await FileExists(modelPath)) {
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const strategy = getStrategy(selectedConfig);
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const newModelPath = modelPath + '-' + strategy.replace(/[> *+]/g, '-');
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toast(t('Start Converting'), {autoClose: 1000, type: 'info'});
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toast(t('Start Converting'), { autoClose: 1000, type: 'info' });
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ConvertModel(modelPath, strategy, newModelPath).then(() => {
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toast(`${t('Convert Success')} - ${newModelPath}`, {type: 'success'});
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refreshLocalModels({models: commonStore.modelSourceList}, false);
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toast(`${t('Convert Success')} - ${newModelPath}`, { type: 'success' });
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refreshLocalModels({ models: commonStore.modelSourceList }, false);
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}).catch(e => {
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toast(`${t('Convert Failed')} - ${e.message || e}`, {type: 'error'});
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toast(`${t('Convert Failed')} - ${e.message || e}`, { type: 'error' });
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});
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setTimeout(WindowShow, 1000)
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} else {
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toast(`${t('Model Not Found')} - ${modelPath}`, {type: 'error'});
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toast(`${t('Model Not Found')} - ${modelPath}`, { type: 'error' });
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}
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}}/>
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}} />
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<Labeled label={t('Device')} content={
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<Dropdown style={{minWidth: 0}} className="grow" value={selectedConfig.modelParameters.device}
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selectedOptions={[selectedConfig.modelParameters.device]}
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onOptionSelect={(_, data) => {
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if (data.optionText) {
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setSelectedConfigModelParams({
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device: data.optionText as Device
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});
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}
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}}>
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<Dropdown style={{ minWidth: 0 }} className="grow" value={selectedConfig.modelParameters.device}
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selectedOptions={[selectedConfig.modelParameters.device]}
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onOptionSelect={(_, data) => {
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if (data.optionText) {
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setSelectedConfigModelParams({
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device: data.optionText as Device
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});
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}
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}}>
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<Option>CPU</Option>
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<Option>CUDA</Option>
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</Dropdown>
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}/>
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} />
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<Labeled label={t('Precision')}
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desc={t('int8 uses less VRAM, and is faster, but has slightly lower quality. fp16 has higher quality, and fp32 has the best quality.')}
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content={
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<Dropdown style={{minWidth: 0}} className="grow"
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value={selectedConfig.modelParameters.precision}
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selectedOptions={[selectedConfig.modelParameters.precision]}
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onOptionSelect={(_, data) => {
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if (data.optionText) {
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setSelectedConfigModelParams({
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precision: data.optionText as Precision
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});
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}
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}}>
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<Option>fp16</Option>
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<Option>int8</Option>
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<Option>fp32</Option>
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</Dropdown>
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}/>
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desc={t('int8 uses less VRAM, and is faster, but has slightly lower quality. fp16 has higher quality, and fp32 has the best quality.')}
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content={
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<Dropdown style={{ minWidth: 0 }} className="grow"
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value={selectedConfig.modelParameters.precision}
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selectedOptions={[selectedConfig.modelParameters.precision]}
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onOptionSelect={(_, data) => {
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if (data.optionText) {
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setSelectedConfigModelParams({
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precision: data.optionText as Precision
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});
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}
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}}>
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<Option>fp16</Option>
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<Option>int8</Option>
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<Option>fp32</Option>
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</Dropdown>
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} />
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<Labeled label={t('Stored Layers')}
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desc={t('Number of the neural network layers loaded into VRAM, the more you load, the faster the speed, but it consumes more VRAM.')}
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content={
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<ValuedSlider value={selectedConfig.modelParameters.storedLayers} min={0}
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max={selectedConfig.modelParameters.maxStoredLayers} step={1} input
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onChange={(e, data) => {
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setSelectedConfigModelParams({
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storedLayers: data.value
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});
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}}/>
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}/>
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desc={t('Number of the neural network layers loaded into VRAM, the more you load, the faster the speed, but it consumes more VRAM.')}
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content={
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<ValuedSlider value={selectedConfig.modelParameters.storedLayers} min={0}
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max={selectedConfig.modelParameters.maxStoredLayers} step={1} input
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onChange={(e, data) => {
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setSelectedConfigModelParams({
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storedLayers: data.value
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});
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}} />
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} />
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<Labeled label={t('Enable High Precision For Last Layer')}
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desc={t('Whether to use CPU to calculate the last output layer of the neural network with FP32 precision to obtain better quality.')}
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content={
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<Switch checked={selectedConfig.modelParameters.enableHighPrecisionForLastLayer}
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onChange={(e, data) => {
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setSelectedConfigModelParams({
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enableHighPrecisionForLastLayer: data.checked
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});
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}}/>
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}/>
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desc={t('Whether to use CPU to calculate the last output layer of the neural network with FP32 precision to obtain better quality.')}
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content={
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<Switch checked={selectedConfig.modelParameters.enableHighPrecisionForLastLayer}
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onChange={(e, data) => {
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setSelectedConfigModelParams({
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enableHighPrecisionForLastLayer: data.checked
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});
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}} />
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} />
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</div>
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}
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/>
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</div>
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<div className="flex flex-row-reverse sm:fixed bottom-2 right-2">
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<RunButton onClickRun={onClickSave}/>
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<RunButton onClickRun={onClickSave} />
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</div>
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</div>
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}/>
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} />
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);
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});
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