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104 lines
3.2 KiB
JavaScript
104 lines
3.2 KiB
JavaScript
// the hash can be obtained from command line e.g. via: MODEL=path_to_model; python -c "import json, hashlib, sys; print(hashlib.sha256(json.load(open('"$MODEL"/tokenizer_config.json'))['chat_template'].encode()).hexdigest())"
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// note that chat templates must be trimmed to match the llama.cpp metadata value
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const hash_derivations = {
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// Meta
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'e10ca381b1ccc5cf9db52e371f3b6651576caee0a630b452e2816b2d404d4b65':
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// Meta-Llama-3.1-8B-Instruct
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// Meta-Llama-3.1-70B-Instruct
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'Llama 3 Instruct'
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,
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'5816fce10444e03c2e9ee1ef8a4a1ea61ae7e69e438613f3b17b69d0426223a4':
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// Llama-3.2-1B-Instruct
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// Llama-3.2-3B-Instruct
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'Llama 3 Instruct'
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,
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'73e87b1667d87ab7d7b579107f01151b29ce7f3ccdd1018fdc397e78be76219d':
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// Nemotron 70B
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'Llama 3 Instruct'
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,
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// Mistral
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// Mistral Reference: https://github.com/mistralai/mistral-common
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'e16746b40344d6c5b5265988e0328a0bf7277be86f1c335156eae07e29c82826':
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// Mistral-Small-Instruct-2409
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// Mistral-Large-Instruct-2407
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'Mistral V2 & V3'
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,
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'3c4ad5fa60dd8c7ccdf82fa4225864c903e107728fcaf859fa6052cb80c92ee9':
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// Mistral-Large-Instruct-2411
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'Mistral V7' // https://huggingface.co/mistralai/Mistral-Large-Instruct-2411
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,
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'e4676cb56dffea7782fd3e2b577cfaf1e123537e6ef49b3ec7caa6c095c62272':
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// Mistral-Nemo-Instruct-2407
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'Mistral V3-Tekken'
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,
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'26a59556925c987317ce5291811ba3b7f32ec4c647c400c6cc7e3a9993007ba7':
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// Mistral-7B-Instruct-v0.3
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'Mistral V2 & V3'
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,
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// Gemma
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'ecd6ae513fe103f0eb62e8ab5bfa8d0fe45c1074fa398b089c93a7e70c15cfd6':
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// gemma-2-9b-it
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// gemma-2-27b-it
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'Gemma 2'
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,
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'87fa45af6cdc3d6a9e4dd34a0a6848eceaa73a35dcfe976bd2946a5822a38bf3':
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// gemma-2-2b-it
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'Gemma 2'
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,
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// Cohere
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'3b54f5c219ae1caa5c0bb2cdc7c001863ca6807cf888e4240e8739fa7eb9e02e':
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// command-r-08-2024
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'Command R'
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,
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// Tulu
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'ac7498a36a719da630e99d48e6ebc4409de85a77556c2b6159eeb735bcbd11df':
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// Tulu-3-8B
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// Tulu-3-70B
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'Tulu'
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,
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// DeepSeek V2.5
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'54d400beedcd17f464e10063e0577f6f798fa896266a912d8a366f8a2fcc0bca':
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'DeepSeek-V2.5'
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,
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// DeepSeek R1
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'b6835114b7303ddd78919a82e4d9f7d8c26ed0d7dfc36beeb12d524f6144eab1':
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'DeepSeek-V2.5'
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,
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};
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const substr_derivations = {
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'<|im_start|>': 'ChatML', // qwen2.5, ...
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};
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const parse_derivation = derivation => (typeof derivation === 'string') ? {
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'context': derivation,
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'instruct': derivation,
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} : derivation;
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export async function deriveTemplatesFromChatTemplate(chat_template, hash) {
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if (chat_template.trim() === '') {
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console.log('Missing chat template.');
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return null;
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}
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if (hash in hash_derivations) {
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return parse_derivation(hash_derivations[hash]);
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}
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// heuristics
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for (const [substr, derivation] of Object.entries(substr_derivations) ) {
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if (chat_template.includes(substr)) {
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return parse_derivation(derivation);
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}
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}
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console.warn(`Unknown chat template hash: ${hash} for [${chat_template}]`);
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return null;
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}
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