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improve parameters controllable range

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This commit is contained in:
josc146
2024-03-02 16:52:53 +08:00
parent d91c3c004d
commit 53a5574080
5 changed files with 9 additions and 9 deletions
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4
frontend/src/pages/Chat.tsx
View File

@@ -247,7 +247,7 @@ const SidePanel: FC = observer(() => {
<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}
<ValuedSlider value={params.temperature} min={0} max={3} step={0.1}
input
onChange={(e, data) => {
commonStore.setChatParams({
@@ -258,7 +258,7 @@ const SidePanel: FC = observer(() => {
<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
<ValuedSlider value={params.topP} min={0} max={1} step={0.05} input
onChange={(e, data) => {
commonStore.setChatParams({
topP: data.value

4
frontend/src/pages/Completion.tsx
View File

@@ -188,7 +188,7 @@ const CompletionPanel: FC = observer(() => {
<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}
<ValuedSlider value={params.temperature} min={0} max={3} step={0.1}
input
onChange={(e, data) => {
setParams({
@@ -199,7 +199,7 @@ const CompletionPanel: FC = observer(() => {
<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
<ValuedSlider value={params.topP} min={0} max={1} step={0.05} input
onChange={(e, data) => {
setParams({
topP: data.value

4
frontend/src/pages/Composition.tsx
View File

@@ -275,7 +275,7 @@ const CompositionPanel: FC = observer(() => {
<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}
<ValuedSlider value={params.temperature} min={0} max={3} step={0.1}
input
onChange={(e, data) => {
setParams({
@@ -286,7 +286,7 @@ const CompositionPanel: FC = observer(() => {
<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
<ValuedSlider value={params.topP} min={0} max={1} step={0.05} input
onChange={(e, data) => {
setParams({
topP: data.value

4
frontend/src/pages/Configs.tsx
View File

@@ -176,7 +176,7 @@ const Configs: FC = observer(() => {
<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}
<ValuedSlider value={selectedConfig.apiParameters.temperature} min={0} max={3} step={0.1}
input
onChange={(e, data) => {
setSelectedConfigApiParams({
@@ -187,7 +187,7 @@ const Configs: FC = observer(() => {
<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
<ValuedSlider value={selectedConfig.apiParameters.topP} min={0} max={1} step={0.05} input
onChange={(e, data) => {
setSelectedConfigApiParams({
topP: data.value