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@ -56,7 +56,7 @@ export const Configs: FC = () => {
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<ToolTipButton desc="Manage Models" icon={<DataUsageSettings20Regular/>}/>
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</div>
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}/>
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<div/>
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<ToolTipButton text="Convert" desc="Convert model with these configs"/>
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<Labeled label="Device" content={
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<Dropdown style={{minWidth: 0}} className="grow">
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<Option>CPU</Option>
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@ -58,7 +58,7 @@ export const Home: FC = () => {
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<img className="rounded-xl select-none hidden sm:block" src={Banner}/>
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<div className="flex flex-col gap-2">
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<Text size={600} weight="medium">Introduction</Text>
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<div className="h-40 overflow-y-auto">
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<div className="h-40 overflow-y-auto p-1">
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RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT
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transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to
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compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the
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@ -1,10 +1,10 @@
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import React, {FC, ReactElement} from 'react';
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import {Button, Tooltip} from '@fluentui/react-components';
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export const ToolTipButton: FC<{ desc: string, icon: ReactElement }> = ({desc, icon}) => {
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export const ToolTipButton: FC<{ text?: string, desc: string, icon?: ReactElement }> = ({text, desc, icon}) => {
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return (
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<Tooltip content={desc} showDelay={0} hideDelay={0} relationship="label">
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<Button icon={icon}/>
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<Button icon={icon}>{text}</Button>
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</Tooltip>
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);
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};
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