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machineuser
commited on
Commit
·
5a13705
1
Parent(s):
7a24123
Sync widgets demo
Browse files
packages/widgets/src/lib/components/InferenceWidget/widgets/ConversationalWidget/ConversationalWidget.svelte
CHANGED
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@@ -1,6 +1,7 @@
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<script lang="ts">
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import { onMount, tick } from "svelte";
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import type { WidgetProps, ExampleRunOpts, InferenceRunOpts } from "../../shared/types.js";
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import { Template } from "@huggingface/jinja";
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import type {
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SpecialTokensMap,
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@@ -22,7 +23,7 @@
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import { addInferenceParameters, updateUrl } from "../../shared/helpers.js";
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import { widgetStates, getTgiSupportedModels } from "../../stores.js";
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import type { Writable } from "svelte/store";
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-
import { isChatInput,
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import { isValidOutputText } from "../../shared/outputValidation.js";
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export let apiToken: WidgetProps["apiToken"];
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@@ -41,7 +42,7 @@
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let messages: ChatMessage[] = [];
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let error: string = "";
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let isLoading = false;
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let outputJson: string;
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let text = "";
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@@ -52,9 +53,6 @@
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// Check config and compile template
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onMount(() => {
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(async () => {
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tgiSupportedModels = await getTgiSupportedModels(apiUrl);
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})();
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const config = model.config;
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if (config === undefined) {
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error = "Model config not found";
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@@ -79,7 +77,7 @@
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return;
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}
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inferenceClient = new HfInference();
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});
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async function handleNewMessage(): Promise<void> {
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@@ -108,6 +106,8 @@
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async function getOutput({
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withModelLoading = false,
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exampleOutput = undefined,
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}: InferenceRunOpts<WidgetExampleOutputText> = {}) {
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if (exampleOutput) {
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@@ -151,6 +151,15 @@
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text = "";
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error = "";
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try {
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if ($tgiSupportedModels?.has(model.id)) {
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console.debug("Starting text generation using the TGI streaming API");
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let newMessage = {
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@@ -164,7 +173,7 @@
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model: model.id,
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accessToken: apiToken,
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},
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-
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);
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for await (const newToken of tokenStream) {
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if (newToken.token.special) continue;
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@@ -175,10 +184,7 @@
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} else {
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console.debug("Starting text generation using the synchronous API");
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input.parameters.max_new_tokens = 100;
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const output = await inferenceClient.textGeneration(
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{ ...input, model: model.id, accessToken: apiToken },
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{ includeCredentials, dont_load_model: !withModelLoading, signal: abort?.signal }
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);
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messages = [...messages, { role: "assistant", content: output.generated_text }];
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await tick();
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}
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@@ -222,7 +228,7 @@
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return;
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}
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const exampleOutput = example.output;
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getOutput({ ...opts.inferenceOpts, exampleOutput });
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} finally {
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isLoading = false;
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}
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<script lang="ts">
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import { onMount, tick } from "svelte";
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import type { WidgetProps, ExampleRunOpts, InferenceRunOpts } from "../../shared/types.js";
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+
import type { Options } from "@huggingface/inference";
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import { Template } from "@huggingface/jinja";
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import type {
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SpecialTokensMap,
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import { addInferenceParameters, updateUrl } from "../../shared/helpers.js";
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import { widgetStates, getTgiSupportedModels } from "../../stores.js";
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import type { Writable } from "svelte/store";
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import { isChatInput, isTextInput } from "../../shared/inputValidation.js";
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import { isValidOutputText } from "../../shared/outputValidation.js";
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export let apiToken: WidgetProps["apiToken"];
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let messages: ChatMessage[] = [];
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let error: string = "";
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let isLoading: boolean = false;
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let outputJson: string;
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let text = "";
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// Check config and compile template
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onMount(() => {
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const config = model.config;
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if (config === undefined) {
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error = "Model config not found";
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return;
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}
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inferenceClient = new HfInference(apiToken);
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});
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async function handleNewMessage(): Promise<void> {
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async function getOutput({
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withModelLoading = false,
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isOnLoadCall = false,
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useCache = true,
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exampleOutput = undefined,
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}: InferenceRunOpts<WidgetExampleOutputText> = {}) {
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if (exampleOutput) {
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text = "";
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error = "";
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try {
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const opts = {
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dont_load_model: isOnLoadCall,
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includeCredentials,
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signal: abort?.signal,
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use_cache: useCache,
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wait_for_model: withModelLoading,
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} satisfies Options;
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tgiSupportedModels = await getTgiSupportedModels(apiUrl);
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if ($tgiSupportedModels?.has(model.id)) {
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console.debug("Starting text generation using the TGI streaming API");
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let newMessage = {
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model: model.id,
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accessToken: apiToken,
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},
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opts
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);
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for await (const newToken of tokenStream) {
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if (newToken.token.special) continue;
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} else {
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console.debug("Starting text generation using the synchronous API");
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input.parameters.max_new_tokens = 100;
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const output = await inferenceClient.textGeneration({ ...input, model: model.id, accessToken: apiToken }, opts);
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messages = [...messages, { role: "assistant", content: output.generated_text }];
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await tick();
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}
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return;
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}
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const exampleOutput = example.output;
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await getOutput({ ...opts.inferenceOpts, exampleOutput });
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} finally {
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isLoading = false;
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}
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packages/widgets/src/routes/+page.svelte
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bos_token: "<s>",
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eos_token: "</s>",
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unk_token: "<unk>",
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pad_token:
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},
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},
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widgetData: [
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{ text: "This is a text-only example", example_title: "Text only" },
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{
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messages: [
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{
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content: "You are a helpful assistant replying in very brief and straight-to-the-point answers.",
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role: "system",
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},
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{ content: "Please exlain QCD in very few words", role: "user" },
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],
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example_title: "Chat messages",
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},
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{
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messages: [
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{
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content: "You are a helpful assistant replying in very brief and straight-to-the-point answers.",
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role: "system",
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},
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{ content: "Please exlain QCD in very few words", role: "user" },
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],
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output: {
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text: "QCD is the physics of strong force and small particles.",
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},
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},
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example_title: "Text only with Output",
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},
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],
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},
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{
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bos_token: "<s>",
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eos_token: "</s>",
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unk_token: "<unk>",
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pad_token: null,
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},
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},
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widgetData: [
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{ text: "This is a text-only example", example_title: "Text only" },
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{
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messages: [{ content: "Please exlain QCD in very few words", role: "user" }],
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example_title: "Chat messages",
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},
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{
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messages: [{ content: "Please exlain QCD in very few words", role: "user" }],
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output: {
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text: "QCD is the physics of strong force and small particles.",
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},
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},
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example_title: "Text only with Output",
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},
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{
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example_title: "Invalid example - unsupported role",
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messages: [
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{ role: "system", content: "This will fail because of the chat template" },
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{ role: "user", content: "What's your favorite condiment?" },
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],
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},
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],
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},
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{
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