rename /chat_template to /props, and switch to non-trimmed hashes

c30dde847127ebe0fa4ba3601f7a4566937d4979

Karl-Johan Alm <karljohan-alm@garage.co.jp>

Signed

Parents: 4214c9d8940ac34ee866d87dbb342d39083a8a79

public/script.js+1 -1 Viewed

         const wantsContextDerivation = power_user.context_derived;
         const supportsChatTemplate = response.headers.get('x-supports-chat-template') === 'true';
         if (supportsChatTemplate && (wantsInstructDerivation || wantsContextDerivation)) {
             const response = await fetch('/api/backends/text-completions/chat_templateprops', {
                 method: 'POST',
                 headers: getRequestHeaders(),
                 body: JSON.stringify({

public/scripts/chat-cemplates.js+37 -34 Viewed

 // 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'].strip().encode()).hexdigest())"
 // note that chat templates must be trimmed to match the llama.cpp metadata value
 const derivations = {
     // Meta
     '93c0e9aa3629bbd77e68dbc0f5621f6e6b23aa8d74b932595cdb8d64684526d7e10ca381b1ccc5cf9db52e371f3b6651576caee0a630b452e2816b2d404d4b65': {
         // Meta-Llama-3.1-8B-Instruct
         // Meta-Llama-3.1-70B-Instruct
         context: 'Llama 3 Instruct',
 -        instruct: 'Llama 3 Instruct',
 +    ,
 -    },
 +    '5816fce10444e03c2e9ee1ef8a4a1ea61ae7e69e438613f3b17b69d0426223a4':
 -    'd82792f95932f1c9cef5c4bd992f171225e3bf8c7b609b4557c9e1ec96be819f': {
         // Llama-3.2-1B-Instruct
         // Llama-3.2-3B-Instruct
         context: 'Llama 3 Instruct',
 -        instruct: 'Llama 3 Instruct',
 +    ,
 -    },
 +    '73e87b1667d87ab7d7b579107f01151b29ce7f3ccdd1018fdc397e78be76219d':
 +        // Nemotron 70B
 +        'Llama 3 Instruct'
 +    ,
     // Mistral
     // Mistral Reference: https://github.com/mistralai/mistral-common
     'cafb64e0e9e5fd2503054b3479593fae39cbdfd52338ce8af9bb4664a8eb05bde16746b40344d6c5b5265988e0328a0bf7277be86f1c335156eae07e29c82826': {
         // Mistral-Small-Instruct-2409
         // Mistral-Large-Instruct-2407
         context: 'Mistral V2 & V3',
 -        instruct: 'Mistral V2 & V3',
 +    ,
 -    },
 +    '3c4ad5fa60dd8c7ccdf82fa4225864c903e107728fcaf859fa6052cb80c92ee9':
 -    '3c4ad5fa60dd8c7ccdf82fa4225864c903e107728fcaf859fa6052cb80c92ee9': {
         // Mistral-Large-Instruct-2411
         context: 'Mistral V7', // https://huggingface.co/mistralai/Mistral-Large-Instruct-2411
 -        instruct: 'Mistral V7',
 +    ,
 -    },
 +    'e4676cb56dffea7782fd3e2b577cfaf1e123537e6ef49b3ec7caa6c095c62272':
 -    'e7deee034838db2bfc7487788a3013d8a307ab69f72f3c54a85f06fd76007d4e': {
         // Mistral-Nemo-Instruct-2407
         context: 'Mistral V3-Tekken',
 -        instruct: 'Mistral V3-Tekken',
 +    ,
 -    },
 +    '26a59556925c987317ce5291811ba3b7f32ec4c647c400c6cc7e3a9993007ba7':
 -    '26a59556925c987317ce5291811ba3b7f32ec4c647c400c6cc7e3a9993007ba7': {
         // Mistral-7B-Instruct-v0.3
         context: 'Mistral V2 & V3',
 -        instruct: 'Mistral V2 & V3',
 +    ,
 -    },
     // Gemma
     'ecd6ae513fe103f0eb62e8ab5bfa8d0fe45c1074fa398b089c93a7e70c15cfd6': {
         // gemma-2-9b-it
         // gemma-2-27b-it
         context: 'Gemma 2',
 -        instruct: 'Gemma 2',
 +    ,
 -    },
     // Cohere
     '3b54f5c219ae1caa5c0bb2cdc7c001863ca6807cf888e4240e8739fa7eb9e02e': {
         // command-r-08-2024
         context: 'Command R',
 -        instruct: 'Command R',
 +    ,
 -    },
 };
 export async function deriveTemplatesFromChatTemplate(chat_template, hash) {
     if (hash in derivations) {
         returnconst derivation = derivations[hash];
 +        if (typeof derivation === 'string') {
 +            return {
 +                'context': derivation,
 +                'instruct': derivation,
 +            }
 +        }
 +        return derivation;
+    }
     console.log(`Unknown chat template hash: ${hash} for [${chat_template}]`);
     return null;

src/endpoints/backends/text-completions.js+4 -5 Viewed

+    }
 });
 router.post('/chat_templateprops', jsonParser, async function (request, response) {
     if (!request.body.api_server) return response.sendStatus(400);
     try {

         /** @type {any} */
         const props = await propsReply.json();
         // TEMPORARY: llama.cpp's /props endpoint includeshas a \u0000 at thebug endwhich ofreplaces the chat template,last resultingnewline inwith mismatchinga hashes\0
         if (apiType === TEXTGEN_TYPES.LLAMACPP && props['chat_template'].endsWith('\u0000')) {
             props['chat_template'] = props['chat_template'].slice(0, -1) + '\n';
+        }
 -        props['chat_template'] = props['chat_template'].trim();
         props['chat_template_hash'] = createHash('sha256').update(props['chat_template']).digest('hex');
         console.log(`We have chat template stuffprops: ${JSON.stringify(props)}`);
         return response.send(props);
     } catch (error) {
         console.error(error);