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[Examples] Update model link to reflect prebuilt changes #360

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Merged
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Apr 5, 2024
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[Examples] Update model link to reflect prebuilt changes #360

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12 changes: 2 additions & 10 deletions examples/chrome-extension-webgpu-service-worker/src/popup.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
import './popup.css';

import { ChatModule, AppConfig, InitProgressReport } from "@mlc-ai/web-llm";
import { prebuiltAppConfig } from '@mlc-ai/web-llm';
import { ProgressBar, Line } from "progressbar.js";

// Whether or not to use the content from the active tab as the context
Expand Down Expand Up @@ -35,16 +36,7 @@ var progressBar: ProgressBar = new Line('#loadingContainer', {
svgStyle: { width: '100%', height: '100%' }
});

const appConfig: AppConfig = {
model_list: [
{
"model_url": "https://huggingface.co/mlc-ai/Mistral-7B-Instruct-v0.2-q4f16_1-MLC/resolve/main/",
"model_id": "Mistral-7B-Instruct-v0.2-q4f16_1",
"model_lib_url": "https://raw.githubusercontent.com/mlc-ai/binary-mlc-llm-libs/main/Mistral-7B-Instruct-v0.2/Mistral-7B-Instruct-v0.2-q4f16_1-sw4k_cs1k-webgpu.wasm",
"required_features": ["shader-f16"],
}
]
}
const appConfig: AppConfig = prebuiltAppConfig;

chrome.runtime.sendMessage({ reload: appConfig });
chrome.runtime.onMessage.addListener(function (request) {
Expand Down
13 changes: 1 addition & 12 deletions examples/chrome-extension/src/popup.ts
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Expand Up @@ -41,17 +41,6 @@ if (useWebGPU) {
svgStyle: { width: '100%', height: '100%' }
});

const appConfig: AppConfig = {
model_list: [
{
"model_url": "https://huggingface.co/mlc-ai/Mistral-7B-Instruct-v0.2-q4f16_1-MLC/resolve/main/",
"model_id": "Mistral-7B-Instruct-v0.2-q4f16_1",
"model_lib_url": "https://raw.githubusercontent.com/mlc-ai/binary-mlc-llm-libs/main/Mistral-7B-Instruct-v0.2/Mistral-7B-Instruct-v0.2-q4f16_1-sw4k_cs1k-webgpu.wasm",
"required_features": ["shader-f16"],
}
]
}

cm.setInitProgressCallback((report: InitProgressReport) => {
console.log(report.text, report.progress);
progressBar.animate(report.progress, {
Expand All @@ -62,7 +51,7 @@ if (useWebGPU) {
}
});

await cm.reload("Mistral-7B-Instruct-v0.2-q4f16_1", undefined, appConfig);
await cm.reload("Mistral-7B-Instruct-v0.2-q4f16_1");

isLoadingParams = true;
} else {
Expand Down
18 changes: 1 addition & 17 deletions examples/get-started/src/get_started.ts
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Expand Up @@ -16,25 +16,9 @@ async function main() {
});

// Option 1: Specify appConfig to decide what models to include
const myAppConfig: webllm.AppConfig = {
model_list: [
{
"model_url": "https://huggingface.co/mlc-ai/Llama-2-7b-chat-hf-q4f32_1-MLC/resolve/main/",
"model_id": "Llama-2-7b-chat-hf-q4f32_1",
"model_lib_url": "https://raw.githubusercontent.com/mlc-ai/binary-mlc-llm-libs/main/Llama-2-7b-chat-hf/Llama-2-7b-chat-hf-q4f32_1-ctx4k_cs1k-webgpu.wasm",
},
{
"model_url": "https://huggingface.co/mlc-ai/Mistral-7B-Instruct-v0.2-q4f16_1-MLC/resolve/main/",
"model_id": "Mistral-7B-Instruct-v0.2-q4f16_1",
"model_lib_url": "https://raw.githubusercontent.com/mlc-ai/binary-mlc-llm-libs/main/Mistral-7B-Instruct-v0.2/Mistral-7B-Instruct-v0.2-q4f16_1-sw4k_cs1k-webgpu.wasm",
"required_features": ["shader-f16"],
},
// Add your own models here...
]
}
const selectedModel = "Llama-2-7b-chat-hf-q4f32_1"
// const selectedModel = "Mistral-7B-Instruct-v0.2-q4f16_1"
await chat.reload(selectedModel, undefined, myAppConfig);
await chat.reload(selectedModel);

// Option 2: If we do not specify appConfig, we use `prebuiltAppConfig` defined in `config.ts`
// await chat.reload("Llama-2-7b-chat-hf-q4f32_1");
Expand Down
13 changes: 1 addition & 12 deletions examples/logit-processor/src/logit_processor.ts
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Expand Up @@ -13,17 +13,6 @@ function setLabel(id: string, text: string) {
}

async function main() {
// Define modelRecord
const myAppConfig: webllm.AppConfig = {
model_list: [
{
"model_url": "https://huggingface.co/mlc-ai/phi-2-q4f32_1-MLC/resolve/main/",
"model_id": "Phi2-q4f32_1",
"model_lib_url": "https://raw.githubusercontent.com/mlc-ai/binary-mlc-llm-libs/main/phi-2/phi-2-q4f32_1-ctx2k-webgpu.wasm",
},
]
}

// Instantiate myLogitProcessor, registering in the logitProcessorRegistry
const myLogitProcessor = new MyLogitProcessor();
const logitProcessorRegistry = new Map<string, webllm.LogitProcessor>();
Expand All @@ -47,7 +36,7 @@ async function main() {
});

// Reload chat module with a logit processor
await chat.reload("Phi2-q4f32_1", undefined, myAppConfig);
await chat.reload("Phi2-q4f32_1");

// Below we demonstrate the usage of a low-level API `forwardTokensAndSample()`
const prompt: Array<number> = [42];
Expand Down
18 changes: 9 additions & 9 deletions tests/function_calling.test.ts
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Expand Up @@ -11,7 +11,7 @@ describe('Test conversation template', () => {
const conv = getConversation("gorilla");
conv.appendMessage(Role.user, "Call me an Uber ride type \"Plus\" in Berkeley at zipcode 94704 in 10 minutes", "Tom");
const prompt_array = conv.getPromptArray();

expect(prompt_array).toEqual([
"A chat between a curious user and an artificial intelligence assistant. " +
"The assistant gives helpful, detailed, and polite answers to the user's questions.\n",
Expand All @@ -26,14 +26,14 @@ describe('Test conversation template', () => {
"name": "Uber Carpool",
"api_name": "uber.ride",
"description": "Find suitable ride for customers given the location, type of ride, and the amount of time the customer is willing to wait as parameters",
"parameters": [
{"name": "loc", "description": "Location of the starting place of the Uber ride"},
{"name": "type", "enum": ["plus", "comfort", "black"], "description": "Types of Uber ride user is ordering"},
{"name": "time", "description": "The amount of time in minutes the customer is willing to wait"}
"parameters": [
{ "name": "loc", "description": "Location of the starting place of the Uber ride" },
{ "name": "type", "enum": ["plus", "comfort", "black"], "description": "Types of Uber ride user is ordering" },
{ "name": "time", "description": "The amount of time in minutes the customer is willing to wait" }
]
}]);
const prompt_array = conv.getPromptArray();

expect(prompt_array).toEqual([
"A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n",
"USER: <<question>> Call me an Uber ride type \"Plus\" in Berkeley at zipcode 94704 in 10 minutes <<function>> [{\"name\":\"Uber Carpool\",\"api_name\":\"uber.ride\",\"description\":\"Find suitable ride for customers given the location, type of ride, and the amount of time the customer is willing to wait as parameters\",\"parameters\":[{\"name\":\"loc\",\"description\":\"Location of the starting place of the Uber ride\"},{\"name\":\"type\",\"enum\":[\"plus\",\"comfort\",\"black\"],\"description\":\"Types of Uber ride user is ordering\"},{\"name\":\"time\",\"description\":\"The amount of time in minutes the customer is willing to wait\"}]}]\n"
Expand All @@ -53,9 +53,9 @@ describe('Test ChatModule', () => {
],
tool_choice: 'none',
tools: [
{ type: 'function', function: { description: 'A', name: 'fn_A', parameters: { foo: 'bar' } } },
{ type: 'function', function: { description: 'B', name: 'fn_B', parameters: { foo: 'bar' } } },
{ type: 'function', function: { description: 'C', name: 'fn_C', parameters: { foo: 'bar' } } },
{ type: 'function', function: { description: 'A', name: 'fn_A', parameters: { foo: 'bar' } } },
{ type: 'function', function: { description: 'B', name: 'fn_B', parameters: { foo: 'bar' } } },
{ type: 'function', function: { description: 'C', name: 'fn_C', parameters: { foo: 'bar' } } },
],
};

Expand Down