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<html> |
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<head> |
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<meta content="text/html;charset=utf-8" http-equiv="Content-Type" /> |
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<title>Candle Phi 1.5 / Phi 2.0 Rust/WASM</title> |
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</head> |
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<body></body> |
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</html> |
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|
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<!DOCTYPE html> |
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<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, initial-scale=1.0" /> |
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<link |
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rel="stylesheet" |
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href="https://cdn.jsdelivr.net/gh/highlightjs/cdn-release@11.8.0/build/styles/default.min.css" |
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/> |
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<style> |
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@import url("https://fonts.googleapis.com/css2?family=Source+Code+Pro:wght@200;300;400&family=Source+Sans+3:wght@100;200;300;400;500;600;700;800;900&display=swap"); |
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html, |
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body { |
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font-family: "Source Sans 3", sans-serif; |
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} |
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code, |
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output, |
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select, |
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pre { |
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font-family: "Source Code Pro", monospace; |
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} |
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</style> |
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<style type="text/tailwindcss"> |
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.link { |
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@apply underline hover:text-blue-500 hover:no-underline; |
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} |
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</style> |
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<script src="https://cdn.tailwindcss.com"></script> |
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<script type="module"> |
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import snarkdown from "https://cdn.skypack.dev/snarkdown"; |
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import hljs from "https://cdn.skypack.dev/highlight.js"; |
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|
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const MODELS = { |
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phi_1_5_q4k: { |
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base_url: |
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"https://huggingface.co/lmz/candle-quantized-phi/resolve/main/", |
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model: "model-q4k.gguf", |
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tokenizer: "tokenizer.json", |
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config: "phi-1_5.json", |
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quantized: true, |
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seq_len: 2048, |
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size: "800 MB", |
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}, |
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phi_1_5_q80: { |
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base_url: |
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"https://huggingface.co/lmz/candle-quantized-phi/resolve/main/", |
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model: "model-q80.gguf", |
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tokenizer: "tokenizer.json", |
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config: "phi-1_5.json", |
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quantized: true, |
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seq_len: 2048, |
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size: "1.51 GB", |
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}, |
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phi_2_0_q4k: { |
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base_url: |
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"https://huggingface.co/radames/phi-2-quantized/resolve/main/", |
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model: [ |
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"model-v2-q4k.gguf_aa.part", |
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"model-v2-q4k.gguf_ab.part", |
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"model-v2-q4k.gguf_ac.part", |
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], |
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tokenizer: "tokenizer.json", |
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config: "config.json", |
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quantized: true, |
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seq_len: 2048, |
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size: "1.57GB", |
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}, |
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puffin_phi_v2_q4k: { |
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base_url: |
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"https://huggingface.co/lmz/candle-quantized-phi/resolve/main/", |
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model: "model-puffin-phi-v2-q4k.gguf", |
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tokenizer: "tokenizer-puffin-phi-v2.json", |
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config: "puffin-phi-v2.json", |
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quantized: true, |
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seq_len: 2048, |
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size: "798 MB", |
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}, |
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puffin_phi_v2_q80: { |
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base_url: |
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"https://huggingface.co/lmz/candle-quantized-phi/resolve/main/", |
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model: "model-puffin-phi-v2-q80.gguf", |
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tokenizer: "tokenizer-puffin-phi-v2.json", |
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config: "puffin-phi-v2.json", |
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quantized: true, |
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seq_len: 2048, |
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size: "1.50 GB", |
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}, |
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}; |
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|
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const TEMPLATES = [ |
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{ |
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title: "Simple prompt", |
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prompt: `Sebastien is in London today, it’s the middle of July yet it’s raining, so Sebastien is feeling gloomy. He`, |
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}, |
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{ |
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title: "Think step by step", |
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prompt: `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? |
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Let’s think step by step.`, |
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}, |
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{ |
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title: "Explaing a code snippet", |
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prompt: `What does this script do? |
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\`\`\`python |
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s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) |
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s.bind(('', 0)) |
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s.listen(1) |
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conn, addr = s.accept() |
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print('Connected by', addr) |
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return conn.getsockname()[1] |
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\`\`\` |
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Let’s think step by step.`, |
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}, |
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{ |
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title: "Question answering", |
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prompt: `Instruct: What is the capital of France? |
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Output:`, |
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}, |
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{ |
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title: "Chat mode", |
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prompt: `Alice: Can you tell me how to create a python application to go through all the files |
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in one directory where the file’s name DOES NOT end with '.json'? |
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Bob:`, |
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}, |
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{ |
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title: "Python code completion", |
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prompt: `"""write a python function called batch(function, list) which call function(x) for x in |
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list in parallel""" |
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Solution:`, |
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}, |
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{ |
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title: "Python Sample", |
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prompt: `"""Can you make sure those histograms appear side by side on the same plot: |
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\`\`\`python |
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plt.hist(intreps_retrained[0][1].view(64,-1).norm(dim=1).detach().cpu().numpy(), bins = 20) |
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plt.hist(intreps_pretrained[0][1].view(64,-1).norm(dim=1).detach().cpu().numpy(), bins = 20) |
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\`\`\` |
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"""`, |
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}, |
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{ |
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title: "Write a Twitter post", |
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prompt: `Write a twitter post for the discovery of gravitational wave. |
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Twitter Post:`, |
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}, |
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{ |
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title: "Write a review", |
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prompt: `Write a polite review complaining that the video game 'Random Game' was too badly optimized and it burned my laptop. |
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Very polite review:`, |
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}, |
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]; |
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const phiWorker = new Worker("./phiWorker.js", { |
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type: "module", |
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}); |
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async function generateSequence(controller) { |
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const getValue = (id) => document.querySelector(`#${id}`).value; |
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const modelID = getValue("model"); |
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const model = MODELS[modelID]; |
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const weightsURL = |
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model.model instanceof Array |
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? model.model.map((m) => model.base_url + m) |
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: model.base_url + model.model; |
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const tokenizerURL = model.base_url + model.tokenizer; |
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const configURL = model.base_url + model.config; |
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|
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const prompt = getValue("prompt").trim(); |
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const temperature = getValue("temperature"); |
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const topP = getValue("top-p"); |
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const repeatPenalty = getValue("repeat_penalty"); |
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const seed = getValue("seed"); |
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const maxSeqLen = getValue("max-seq"); |
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|
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function updateStatus(data) { |
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const outStatus = document.querySelector("#output-status"); |
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const outGen = document.querySelector("#output-generation"); |
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const outCounter = document.querySelector("#output-counter"); |
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|
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switch (data.status) { |
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case "loading": |
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outStatus.hidden = false; |
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outStatus.textContent = data.message; |
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outGen.hidden = true; |
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outCounter.hidden = true; |
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break; |
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case "generating": |
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const { message, prompt, sentence, tokensSec, totalTime } = data; |
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outStatus.hidden = true; |
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outCounter.hidden = false; |
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outGen.hidden = false; |
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outGen.innerHTML = snarkdown(prompt + sentence); |
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outCounter.innerHTML = `${(totalTime / 1000).toFixed( |
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2 |
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)}s (${tokensSec.toFixed(2)} tok/s)`; |
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hljs.highlightAll(); |
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break; |
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case "complete": |
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outStatus.hidden = true; |
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outGen.hidden = false; |
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break; |
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} |
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} |
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|
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return new Promise((resolve, reject) => { |
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phiWorker.postMessage({ |
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weightsURL, |
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modelID, |
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tokenizerURL, |
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configURL, |
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quantized: model.quantized, |
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prompt, |
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temp: temperature, |
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top_p: topP, |
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repeatPenalty, |
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seed: seed, |
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maxSeqLen, |
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command: "start", |
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}); |
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|
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const handleAbort = () => { |
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phiWorker.postMessage({ command: "abort" }); |
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}; |
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const handleMessage = (event) => { |
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const { status, error, message, prompt, sentence } = event.data; |
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if (status) updateStatus(event.data); |
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if (error) { |
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phiWorker.removeEventListener("message", handleMessage); |
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reject(new Error(error)); |
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} |
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if (status === "aborted") { |
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phiWorker.removeEventListener("message", handleMessage); |
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resolve(event.data); |
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} |
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if (status === "complete") { |
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phiWorker.removeEventListener("message", handleMessage); |
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resolve(event.data); |
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} |
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}; |
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|
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controller.signal.addEventListener("abort", handleAbort); |
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phiWorker.addEventListener("message", handleMessage); |
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}); |
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} |
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|
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const form = document.querySelector("#form"); |
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const prompt = document.querySelector("#prompt"); |
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const clearBtn = document.querySelector("#clear-btn"); |
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const runBtn = document.querySelector("#run"); |
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const modelSelect = document.querySelector("#model"); |
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const promptTemplates = document.querySelector("#prompt-templates"); |
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let runController = new AbortController(); |
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let isRunning = false; |
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|
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document.addEventListener("DOMContentLoaded", () => { |
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for (const [id, model] of Object.entries(MODELS)) { |
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const option = document.createElement("option"); |
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option.value = id; |
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option.innerText = `${id} (${model.size})`; |
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modelSelect.appendChild(option); |
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} |
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const query = new URLSearchParams(window.location.search); |
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const modelID = query.get("model"); |
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if (modelID) { |
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modelSelect.value = modelID; |
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} else { |
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modelSelect.value = "phi_1_5_q4k"; |
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} |
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|
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for (const [i, { title, prompt }] of TEMPLATES.entries()) { |
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const div = document.createElement("div"); |
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const input = document.createElement("input"); |
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input.type = "radio"; |
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input.name = "task"; |
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input.id = `templates-${i}`; |
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input.classList.add("font-light", "cursor-pointer"); |
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input.value = prompt; |
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const label = document.createElement("label"); |
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label.htmlFor = `templates-${i}`; |
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label.classList.add("cursor-pointer"); |
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label.innerText = title; |
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div.appendChild(input); |
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div.appendChild(label); |
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promptTemplates.appendChild(div); |
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} |
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}); |
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|
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promptTemplates.addEventListener("change", (e) => { |
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const template = e.target.value; |
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prompt.value = template; |
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prompt.style.height = "auto"; |
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prompt.style.height = prompt.scrollHeight + "px"; |
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runBtn.disabled = false; |
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clearBtn.classList.remove("invisible"); |
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}); |
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modelSelect.addEventListener("change", (e) => { |
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const query = new URLSearchParams(window.location.search); |
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query.set("model", e.target.value); |
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window.history.replaceState( |
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{}, |
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"", |
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`${window.location.pathname}?${query}` |
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); |
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window.parent.postMessage({ queryString: "?" + query }, "*"); |
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const model = MODELS[e.target.value]; |
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document.querySelector("#max-seq").max = model.seq_len; |
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document.querySelector("#max-seq").nextElementSibling.value = 200; |
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}); |
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|
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form.addEventListener("submit", async (e) => { |
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e.preventDefault(); |
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if (isRunning) { |
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stopRunning(); |
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} else { |
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startRunning(); |
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await generateSequence(runController); |
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stopRunning(); |
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} |
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}); |
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|
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function startRunning() { |
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isRunning = true; |
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runBtn.textContent = "Stop"; |
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} |
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|
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function stopRunning() { |
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runController.abort(); |
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runController = new AbortController(); |
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runBtn.textContent = "Run"; |
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isRunning = false; |
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} |
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clearBtn.addEventListener("click", (e) => { |
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e.preventDefault(); |
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prompt.value = ""; |
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clearBtn.classList.add("invisible"); |
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runBtn.disabled = true; |
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stopRunning(); |
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}); |
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prompt.addEventListener("input", (e) => { |
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runBtn.disabled = false; |
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if (e.target.value.length > 0) { |
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clearBtn.classList.remove("invisible"); |
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} else { |
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clearBtn.classList.add("invisible"); |
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} |
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}); |
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</script> |
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</head> |
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<body class="container max-w-4xl mx-auto p-4 text-gray-800"> |
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<main class="grid grid-cols-1 gap-8 relative"> |
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<span class="absolute text-5xl -ml-[1em]"> 🕯️ </span> |
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<div> |
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<h1 class="text-5xl font-bold">Candle Phi 1.5 / Phi 2.0</h1> |
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<h2 class="text-2xl font-bold">Rust/WASM Demo</h2> |
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<p class="max-w-lg"> |
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The |
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<a |
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href="https://huggingface.co/microsoft/phi-1_5" |
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class="link" |
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target="_blank" |
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>Phi-1.5</a |
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> |
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and |
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<a |
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href="https://huggingface.co/microsoft/phi-2" |
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class="link" |
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target="_blank" |
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>Phi-2</a |
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> |
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models achieve state-of-the-art performance with only 1.3 billion and |
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2.7 billion parameters, compared to larger models with up to 13 |
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billion parameters. Here you can try the quantized versions. |
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Additional prompt examples are available in the |
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<a |
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href="https://arxiv.org/pdf/2309.05463.pdf#page=8" |
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class="link" |
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target="_blank" |
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> |
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technical report </a |
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>. |
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</p> |
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<p class="max-w-lg"> |
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You can also try |
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<a |
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href="https://huggingface.co/teknium/Puffin-Phi-v2" |
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class="link" |
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target="_blank" |
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>Puffin-Phi V2 |
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</a> |
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quantized version, a fine-tuned version of Phi-1.5 on the |
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<a |
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href="https://huggingface.co/datasets/LDJnr/Puffin" |
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class="link" |
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target="_blank" |
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>Puffin dataset |
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</a> |
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</p> |
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</div> |
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<div> |
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<p class="text-xs italic max-w-lg"> |
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<b>Note:</b> |
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When first run, the app will download and cache the model, which could |
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take a few minutes. The models are <b>~800MB</b> or <b>~1.57GB</b> in |
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size. |
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</p> |
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</div> |
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<div> |
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<label for="model" class="font-medium">Models Options: </label> |
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<select |
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id="model" |
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class="border-2 border-gray-500 rounded-md font-light" |
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></select> |
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</div> |
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<div> |
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<details> |
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<summary class="font-medium cursor-pointer">Prompt Templates</summary> |
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<form |
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id="prompt-templates" |
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class="grid grid-cols-1 sm:grid-cols-2 gap-1 my-2" |
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></form> |
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</details> |
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</div> |
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<form |
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id="form" |
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class="flex text-normal px-1 py-1 border border-gray-700 rounded-md items-center" |
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> |
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<input type="submit" hidden /> |
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<textarea |
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type="text" |
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id="prompt" |
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class="font-light text-lg w-full px-3 py-2 mx-1 resize-none outline-none" |
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oninput="this.style.height = 0;this.style.height = this.scrollHeight + 'px'" |
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placeholder="Add your prompt here..." |
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> |
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Instruct: Write a detailed analogy between mathematics and a lighthouse. |
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Output:</textarea |
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> |
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<button id="clear-btn"> |
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<svg |
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fill="none" |
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xmlns="http://www.w3.org/2000/svg" |
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width="40" |
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viewBox="0 0 70 40" |
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> |
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<path opacity=".5" d="M39 .2v40.2" stroke="#1F2937" /> |
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<path |
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d="M1.5 11.5 19 29.1m0-17.6L1.5 29.1" |
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opacity=".5" |
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stroke="#1F2937" |
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stroke-width="2" |
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/> |
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</svg> |
|
</button> |
|
<button |
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id="run" |
|
class="bg-gray-700 hover:bg-gray-800 text-white font-normal py-2 w-16 rounded disabled:bg-gray-300 disabled:cursor-not-allowed" |
|
> |
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Run |
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</button> |
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</form> |
|
<details> |
|
<summary class="font-medium cursor-pointer">Advanced Options</summary> |
|
|
|
<div class="grid grid-cols-3 max-w-md items-center gap-3 py-3"> |
|
<label class="text-sm font-medium" for="max-seq" |
|
>Maximum length |
|
</label> |
|
<input |
|
type="range" |
|
id="max-seq" |
|
name="max-seq" |
|
min="1" |
|
max="2048" |
|
step="1" |
|
value="200" |
|
oninput="this.nextElementSibling.value = Number(this.value)" |
|
/> |
|
<output |
|
class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md" |
|
> |
|
200</output |
|
> |
|
<label class="text-sm font-medium" for="temperature" |
|
>Temperature</label |
|
> |
|
<input |
|
type="range" |
|
id="temperature" |
|
name="temperature" |
|
min="0" |
|
max="2" |
|
step="0.01" |
|
value="0.00" |
|
oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)" |
|
/> |
|
<output |
|
class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md" |
|
> |
|
0.00</output |
|
> |
|
<label class="text-sm font-medium" for="top-p">Top-p</label> |
|
<input |
|
type="range" |
|
id="top-p" |
|
name="top-p" |
|
min="0" |
|
max="1" |
|
step="0.01" |
|
value="1.00" |
|
oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)" |
|
/> |
|
<output |
|
class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md" |
|
> |
|
1.00</output |
|
> |
|
|
|
<label class="text-sm font-medium" for="repeat_penalty" |
|
>Repeat Penalty</label |
|
> |
|
|
|
<input |
|
type="range" |
|
id="repeat_penalty" |
|
name="repeat_penalty" |
|
min="1" |
|
max="2" |
|
step="0.01" |
|
value="1.10" |
|
oninput="this.nextElementSibling.value = Number(this.value).toFixed(2)" |
|
/> |
|
<output |
|
class="text-xs w-[50px] text-center font-light px-1 py-1 border border-gray-700 rounded-md" |
|
>1.10</output |
|
> |
|
<label class="text-sm font-medium" for="seed">Seed</label> |
|
<input |
|
type="number" |
|
id="seed" |
|
name="seed" |
|
value="299792458" |
|
class="font-light border border-gray-700 text-right rounded-md p-2" |
|
/> |
|
<button |
|
id="run" |
|
onclick="document.querySelector('#seed').value = Math.floor(Math.random() * Number.MAX_SAFE_INTEGER)" |
|
class="bg-gray-700 hover:bg-gray-800 text-white font-normal py-1 w-[50px] rounded disabled:bg-gray-300 disabled:cursor-not-allowed text-sm" |
|
> |
|
Rand |
|
</button> |
|
</div> |
|
</details> |
|
|
|
<div> |
|
<h3 class="font-medium">Generation:</h3> |
|
<div |
|
class="min-h-[250px] bg-slate-100 text-gray-500 p-4 rounded-md flex flex-col gap-2" |
|
> |
|
<div |
|
id="output-counter" |
|
hidden |
|
class="ml-auto font-semibold grid-rows-1" |
|
></div> |
|
<p hidden id="output-generation" class="grid-rows-2 text-lg"></p> |
|
<span id="output-status" class="m-auto font-light" |
|
>No output yet</span |
|
> |
|
</div> |
|
</div> |
|
</main> |
|
</body> |
|
</html> |
|
|
