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  1. index.html +4 -16
index.html CHANGED
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  <head>
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  <meta charset="utf-8">
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  <meta name="viewport" content="width=device-width, initial-scale=1">
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- <title>llama-cpp-wasm single thread</title>
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  <link rel="icon" type="image/png" href="favicon.png" />
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  <!-- picocss -->
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  <body>
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  <header class="container">
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  <hgroup>
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- <h1><a href="/">llama-cpp-wasm</a> &nbsp; &#128034; <mark>single thread</mark> wasm32 </h2>
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- <br />
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- <p> WebAssembly (Wasm) Build and Bindings for <a href="https://github.com/ggerganov/llama.cpp" target="_blank">llama.cpp</a>. </p>
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- <br />
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- <p> This demonstration enables you to run LLM models directly in your browser utilizing JavaScript, WebAssembly, and llama.cpp. </p>
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- <br />
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- <p> Repository: <a href="https://github.com/tangledgroup/llama-cpp-wasm"> https://github.com/tangledgroup/llama-cpp-wasm </a></p>
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- <br />
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-
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  <p> When you click <b>Run</b>, model will be first downloaded and cached in browser. </p>
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  </hgroup>
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  </header>
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  <main class="container">
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  <section>
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- <h2> Demo </h2>
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  <label> Model: </label>
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  <select id="model" name="model" aria-label="Select model" required>
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- <!-- <option value="https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat-GGUF/resolve/main/qwen1_5-0_5b-chat-q3_k_m.gguf" selected>Qwen/Qwen1.5-0.5B-Chat Q3_K_M (350 MB)</option> -->
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  <option value="https://huggingface.co/afrideva/TinyMistral-248M-SFT-v4-GGUF/resolve/main/tinymistral-248m-sft-v4.q8_0.gguf">tinymistral-248m-sft-v4 q8_0 (265.26 MB)</option>
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  <option value="https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf">TinyLlama/TinyLlama-1.1B-Chat-v1.0 Q4_K_M (669 MB)</option>
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  <option value="https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat-GGUF/resolve/main/qwen1_5-1_8b-chat-q3_k_m.gguf">Qwen/Qwen1.5-1.8B-Chat Q3_K_M (1.02 GB)</option>
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  <label> Prompt: </label>
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- <textarea id="prompt" name="prompt" rows="5">Suppose Alice originally had 3 apples, then Bob gave Alice 7 apples, then Alice gave Cook 5 apples, and then Tim gave Alice 3x the amount of apples Alice had. How many apples does Alice have now? Let’s think step by step.</textarea>
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  <label> Result: </label>
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  <head>
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  <meta charset="utf-8">
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  <meta name="viewport" content="width=device-width, initial-scale=1">
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+ <title>Edge LLM v1</title>
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  <link rel="icon" type="image/png" href="favicon.png" />
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  <!-- picocss -->
 
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  <body>
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  <header class="container">
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  <hgroup>
 
 
 
 
 
 
 
 
 
 
 
 
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  <p> When you click <b>Run</b>, model will be first downloaded and cached in browser. </p>
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  </hgroup>
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  </header>
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  <main class="container">
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  <section>
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+ <h2> Single Thread </h2>
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  <label> Model: </label>
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  <select id="model" name="model" aria-label="Select model" required>
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+ <option value="https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat-GGUF/resolve/main/qwen1_5-0_5b-chat-q3_k_m.gguf" selected>Qwen/Qwen1.5-0.5B-Chat Q3_K_M (350 MB)</option>
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  <option value="https://huggingface.co/afrideva/TinyMistral-248M-SFT-v4-GGUF/resolve/main/tinymistral-248m-sft-v4.q8_0.gguf">tinymistral-248m-sft-v4 q8_0 (265.26 MB)</option>
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  <option value="https://huggingface.co/TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF/resolve/main/tinyllama-1.1b-chat-v1.0.Q4_K_M.gguf">TinyLlama/TinyLlama-1.1B-Chat-v1.0 Q4_K_M (669 MB)</option>
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  <option value="https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat-GGUF/resolve/main/qwen1_5-1_8b-chat-q3_k_m.gguf">Qwen/Qwen1.5-1.8B-Chat Q3_K_M (1.02 GB)</option>
 
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  <label> Prompt: </label>
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+ <textarea id="prompt" name="prompt" rows="5">Good morning how are you doing</textarea>
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  <label> Result: </label>
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