Spaces:
Running
Running
Commit
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847e2f0
1
Parent(s):
a297744
feat: switch to qwen-2.5 models
Browse files- README.md +2 -2
- dist/index.js +0 -0
- index.html +16 -5
- package.json +1 -1
- src/index.js +2 -1
- yarn.lock +4 -4
README.md
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@@ -1,5 +1,5 @@
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---
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title: Webllm
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emoji: 💬
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colorFrom: gray
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colorTo: indigo
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license: apache-2.0
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---
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A space to chat with
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title: Webllm Qwen 2.5 Chat
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emoji: 💬
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colorFrom: gray
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colorTo: indigo
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license: apache-2.0
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---
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A space to chat with Qwen 2.5 running locally in your browser, powered by [WebLLM](https://github.com/mlc-ai/web-llm/).
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dist/index.js
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index.html
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width" />
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<title>WebLLM
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<link rel="stylesheet" href="styles/katex.min.css" />
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<link
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rel="stylesheet"
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<body>
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<main>
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<h1>WebLLM
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<p>
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This space enables AI chat with
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browser, empowered by WebLLM.
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</p>
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<h2>Step 1: Configure And Download Model</h2>
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<div class="card vertical">
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<form class="configure-form">
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<!-- Quantization -->
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<div class="form-group">
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<label for="quantization">Quantization:</label>
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<select id="quantization" name="quantization">
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<option value="
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<option value="
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</select>
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</div>
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<head>
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<meta charset="utf-8" />
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<meta name="viewport" content="width=device-width" />
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<title>WebLLM Qwen 2.5 Chat</title>
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<link rel="stylesheet" href="styles/katex.min.css" />
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<link
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rel="stylesheet"
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<body>
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<main>
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<h1>WebLLM Qwen 2.5 Chat</h1>
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<p>
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This space enables AI chat with Qwen 2.5 models directly in your local
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browser, empowered by WebLLM.
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</p>
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<h2>Step 1: Configure And Download Model</h2>
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<div class="card vertical">
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<form class="configure-form">
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<!-- Model Size -->
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<div class="form-group">
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<label for="model_size">Model Size:</label>
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<select id="model_size" name="model_size">
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<option value="0.5B">0.5B</option>
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<option value="1.5B">1.5B</option>
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<option value="3B">3B</option>
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<option value="7B">7B</option>
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</select>
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</div>
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<!-- Quantization -->
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<div class="form-group">
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<label for="quantization">Quantization:</label>
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<select id="quantization" name="quantization">
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<option value="q4f16_1">q4f16</option>
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<option value="q4f32_1">q4f32</option>
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</select>
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</div>
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package.json
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"dependencies": {
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"@babel/core": "^7.13.15",
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"@babel/preset-env": "^7.13.15",
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"@mlc-ai/web-llm": "^0.2.
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"katex": "^0.16.11",
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"rehype-highlight": "^7.0.0",
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"rehype-katex": "^7.0.0",
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"dependencies": {
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"@babel/core": "^7.13.15",
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"@babel/preset-env": "^7.13.15",
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"@mlc-ai/web-llm": "^0.2.63",
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"katex": "^0.16.11",
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"rehype-highlight": "^7.0.0",
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"rehype-katex": "^7.0.0",
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src/index.js
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engine.setInitProgressCallback(updateEngineInitProgressCallback);
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async function initializeWebLLMEngine() {
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const quantization = document.getElementById("quantization").value;
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const context_window_size = parseInt(document.getElementById("context").value);
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const temperature = parseFloat(document.getElementById("temperature").value);
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const frequency_penalty = parseFloat(document.getElementById("frequency_penalty").value);
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document.getElementById("download-status").classList.remove("hidden");
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const selectedModel = `
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const config = {
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temperature,
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top_p,
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engine.setInitProgressCallback(updateEngineInitProgressCallback);
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async function initializeWebLLMEngine() {
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const model_size = document.getElementById("model_size").value;
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const quantization = document.getElementById("quantization").value;
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const context_window_size = parseInt(document.getElementById("context").value);
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const temperature = parseFloat(document.getElementById("temperature").value);
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const frequency_penalty = parseFloat(document.getElementById("frequency_penalty").value);
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document.getElementById("download-status").classList.remove("hidden");
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const selectedModel = `Qwen2.5-${model_size}-Instruct-${quantization}-MLC`;
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const config = {
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temperature,
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top_p,
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yarn.lock
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@@ -984,10 +984,10 @@
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"@jridgewell/resolve-uri" "^3.1.0"
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"@jridgewell/sourcemap-codec" "^1.4.14"
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"@mlc-ai/web-llm@^0.2.
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version "0.2.
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resolved "https://registry.
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integrity sha512-
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dependencies:
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loglevel "^1.9.1"
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"@jridgewell/resolve-uri" "^3.1.0"
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"@jridgewell/sourcemap-codec" "^1.4.14"
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"@mlc-ai/web-llm@^0.2.63":
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version "0.2.63"
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resolved "https://registry.yarnpkg.com/@mlc-ai/web-llm/-/web-llm-0.2.63.tgz#73d2871081fbcf088ce70ec29f08351b9889981e"
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integrity sha512-X4xy3cS9Xh/UR//FU07eqcLdeGyMLTwLNF8pbIgJok8IJvzeigLqFXCGktGHf6HLlFRWE7A6+jVCjq1Iw4cGeA==
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dependencies:
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loglevel "^1.9.1"
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