Merge pull request #2873 from SillyTavern/nemo-tokenizer
Add Mistral Nemo downloadable tokenizer
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commit
83c3f6d1bf
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@ -3339,7 +3339,8 @@
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<option value="16">Command-R</option>
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<option value="4">NerdStash (NovelAI Clio)</option>
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<option value="5">NerdStash v2 (NovelAI Kayra)</option>
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<option value="7">Mistral</option>
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<option value="7">Mistral V1</option>
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<option value="17">Mistral Nemo</option>
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<option value="8">Yi</option>
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<option value="11">Claude 1/2</option>
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<option value="6">API (WebUI / koboldcpp)</option>
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@ -30,6 +30,7 @@ export const tokenizers = {
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JAMBA: 14,
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QWEN2: 15,
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COMMAND_R: 16,
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NEMO: 17,
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BEST_MATCH: 99,
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};
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@ -43,6 +44,7 @@ export const ENCODE_TOKENIZERS = [
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tokenizers.JAMBA,
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tokenizers.QWEN2,
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tokenizers.COMMAND_R,
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tokenizers.NEMO,
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// uncomment when NovelAI releases Kayra and Clio weights, lol
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//tokenizers.NERD,
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//tokenizers.NERD2,
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@ -121,6 +123,11 @@ const TOKENIZER_URLS = {
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decode: '/api/tokenizers/command-r/decode',
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count: '/api/tokenizers/command-r/encode',
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},
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[tokenizers.NEMO]: {
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encode: '/api/tokenizers/nemo/encode',
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decode: '/api/tokenizers/nemo/decode',
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count: '/api/tokenizers/nemo/encode',
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},
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[tokenizers.API_TEXTGENERATIONWEBUI]: {
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encode: '/api/tokenizers/remote/textgenerationwebui/encode',
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count: '/api/tokenizers/remote/textgenerationwebui/encode',
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@ -535,6 +542,7 @@ export function getTokenizerModel() {
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const jambaTokenizer = 'jamba';
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const qwen2Tokenizer = 'qwen2';
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const commandRTokenizer = 'command-r';
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const nemoTokenizer = 'nemo';
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// Assuming no one would use it for different models.. right?
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if (oai_settings.chat_completion_source == chat_completion_sources.SCALE) {
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@ -628,6 +636,9 @@ export function getTokenizerModel() {
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}
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if (oai_settings.chat_completion_source == chat_completion_sources.MISTRALAI) {
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if (oai_settings.mistralai_model.includes('nemo') || oai_settings.mistralai_model.includes('pixtral')) {
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return nemoTokenizer;
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}
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return mistralTokenizer;
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}
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@ -221,6 +221,7 @@ const claude_tokenizer = new WebTokenizer('src/tokenizers/claude.json');
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const llama3_tokenizer = new WebTokenizer('src/tokenizers/llama3.json');
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const commandTokenizer = new WebTokenizer('https://github.com/SillyTavern/SillyTavern-Tokenizers/raw/main/command-r.json', 'src/tokenizers/llama3.json');
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const qwen2Tokenizer = new WebTokenizer('https://github.com/SillyTavern/SillyTavern-Tokenizers/raw/main/qwen2.json', 'src/tokenizers/llama3.json');
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const nemoTokenizer = new WebTokenizer('https://github.com/SillyTavern/SillyTavern-Tokenizers/raw/main/nemo.json', 'src/tokenizers/llama3.json');
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const sentencepieceTokenizers = [
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'llama',
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@ -418,6 +419,10 @@ function getTokenizerModel(requestModel) {
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return 'command-r';
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}
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if (requestModel.includes('nemo')) {
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return 'nemo';
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}
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// default
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return 'gpt-3.5-turbo';
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}
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@ -645,6 +650,7 @@ router.post('/claude/encode', jsonParser, createWebTokenizerEncodingHandler(clau
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router.post('/llama3/encode', jsonParser, createWebTokenizerEncodingHandler(llama3_tokenizer));
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router.post('/qwen2/encode', jsonParser, createWebTokenizerEncodingHandler(qwen2Tokenizer));
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router.post('/command-r/encode', jsonParser, createWebTokenizerEncodingHandler(commandTokenizer));
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router.post('/nemo/encode', jsonParser, createWebTokenizerEncodingHandler(nemoTokenizer));
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router.post('/llama/decode', jsonParser, createSentencepieceDecodingHandler(spp_llama));
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router.post('/nerdstash/decode', jsonParser, createSentencepieceDecodingHandler(spp_nerd));
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router.post('/nerdstash_v2/decode', jsonParser, createSentencepieceDecodingHandler(spp_nerd_v2));
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@ -657,6 +663,7 @@ router.post('/claude/decode', jsonParser, createWebTokenizerDecodingHandler(clau
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router.post('/llama3/decode', jsonParser, createWebTokenizerDecodingHandler(llama3_tokenizer));
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router.post('/qwen2/decode', jsonParser, createWebTokenizerDecodingHandler(qwen2Tokenizer));
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router.post('/command-r/decode', jsonParser, createWebTokenizerDecodingHandler(commandTokenizer));
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router.post('/nemo/decode', jsonParser, createWebTokenizerDecodingHandler(nemoTokenizer));
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router.post('/openai/encode', jsonParser, async function (req, res) {
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try {
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@ -707,6 +714,11 @@ router.post('/openai/encode', jsonParser, async function (req, res) {
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return handler(req, res);
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}
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if (queryModel.includes('nemo')) {
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const handler = createWebTokenizerEncodingHandler(nemoTokenizer);
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return handler(req, res);
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}
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const model = getTokenizerModel(queryModel);
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const handler = createTiktokenEncodingHandler(model);
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return handler(req, res);
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@ -765,6 +777,11 @@ router.post('/openai/decode', jsonParser, async function (req, res) {
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return handler(req, res);
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}
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if (queryModel.includes('nemo')) {
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const handler = createWebTokenizerDecodingHandler(nemoTokenizer);
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return handler(req, res);
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}
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const model = getTokenizerModel(queryModel);
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const handler = createTiktokenDecodingHandler(model);
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return handler(req, res);
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@ -835,6 +852,13 @@ router.post('/openai/count', jsonParser, async function (req, res) {
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return res.send({ 'token_count': num_tokens });
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}
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if (model === 'nemo') {
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const instance = await nemoTokenizer.get();
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if (!instance) throw new Error('Failed to load the Nemo tokenizer');
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num_tokens = countWebTokenizerTokens(instance, req.body);
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return res.send({ 'token_count': num_tokens });
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}
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const tokensPerName = queryModel.includes('gpt-3.5-turbo-0301') ? -1 : 1;
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const tokensPerMessage = queryModel.includes('gpt-3.5-turbo-0301') ? 4 : 3;
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const tokensPadding = 3;
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