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Add Mistral Nemo downloadable tokenizer

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This commit is contained in:
Cohee 2024-09-19 00:10:22 +03:00
parent 6d731bbefe
commit a782dcec33
3 changed files with 37 additions and 1 deletions
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3
public/index.html
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@ -3339,7 +3339,8 @@
<option value="16">Command-R</option>
<option value="4">NerdStash (NovelAI Clio)</option>
<option value="5">NerdStash v2 (NovelAI Kayra)</option>
<option value="7">Mistral</option>
<option value="7">Mistral V1</option>
<option value="17">Mistral Nemo</option>
<option value="8">Yi</option>
<option value="11">Claude 1/2</option>
<option value="6">API (WebUI / koboldcpp)</option>

11
public/scripts/tokenizers.js
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@ -30,6 +30,7 @@ export const tokenizers = {
JAMBA: 14,
QWEN2: 15,
COMMAND_R: 16,
NEMO: 17,
BEST_MATCH: 99,
};
@ -43,6 +44,7 @@ export const ENCODE_TOKENIZERS = [
tokenizers.JAMBA,
tokenizers.QWEN2,
tokenizers.COMMAND_R,
tokenizers.NEMO,
// uncomment when NovelAI releases Kayra and Clio weights, lol
//tokenizers.NERD,
//tokenizers.NERD2,
@ -121,6 +123,11 @@ const TOKENIZER_URLS = {
decode: '/api/tokenizers/command-r/decode',
count: '/api/tokenizers/command-r/encode',
},
[tokenizers.NEMO]: {
encode: '/api/tokenizers/nemo/encode',
decode: '/api/tokenizers/nemo/decode',
count: '/api/tokenizers/nemo/encode',
},
[tokenizers.API_TEXTGENERATIONWEBUI]: {
encode: '/api/tokenizers/remote/textgenerationwebui/encode',
count: '/api/tokenizers/remote/textgenerationwebui/encode',
@ -535,6 +542,7 @@ export function getTokenizerModel() {
const jambaTokenizer = 'jamba';
const qwen2Tokenizer = 'qwen2';
const commandRTokenizer = 'command-r';
const nemoTokenizer = 'nemo';
// Assuming no one would use it for different models.. right?
if (oai_settings.chat_completion_source == chat_completion_sources.SCALE) {
@ -628,6 +636,9 @@ export function getTokenizerModel() {
}
if (oai_settings.chat_completion_source == chat_completion_sources.MISTRALAI) {
if (oai_settings.mistralai_model.includes('nemo') || oai_settings.mistralai_model.includes('pixtral')) {
return nemoTokenizer;
}
return mistralTokenizer;
}

24
src/endpoints/tokenizers.js
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@ -221,6 +221,7 @@ const claude_tokenizer = new WebTokenizer('src/tokenizers/claude.json');
const llama3_tokenizer = new WebTokenizer('src/tokenizers/llama3.json');
const commandTokenizer = new WebTokenizer('https://github.com/SillyTavern/SillyTavern-Tokenizers/raw/main/command-r.json', 'src/tokenizers/llama3.json');
const qwen2Tokenizer = new WebTokenizer('https://github.com/SillyTavern/SillyTavern-Tokenizers/raw/main/qwen2.json', 'src/tokenizers/llama3.json');
const nemoTokenizer = new WebTokenizer('https://github.com/SillyTavern/SillyTavern-Tokenizers/raw/main/nemo.json', 'src/tokenizers/llama3.json');
const sentencepieceTokenizers = [
'llama',
@ -418,6 +419,10 @@ function getTokenizerModel(requestModel) {
return 'command-r';
}
if (requestModel.includes('nemo')) {
return 'nemo';
}
// default
return 'gpt-3.5-turbo';
}
@ -645,6 +650,7 @@ router.post('/claude/encode', jsonParser, createWebTokenizerEncodingHandler(clau
router.post('/llama3/encode', jsonParser, createWebTokenizerEncodingHandler(llama3_tokenizer));
router.post('/qwen2/encode', jsonParser, createWebTokenizerEncodingHandler(qwen2Tokenizer));
router.post('/command-r/encode', jsonParser, createWebTokenizerEncodingHandler(commandTokenizer));
router.post('/nemo/encode', jsonParser, createWebTokenizerEncodingHandler(nemoTokenizer));
router.post('/llama/decode', jsonParser, createSentencepieceDecodingHandler(spp_llama));
router.post('/nerdstash/decode', jsonParser, createSentencepieceDecodingHandler(spp_nerd));
router.post('/nerdstash_v2/decode', jsonParser, createSentencepieceDecodingHandler(spp_nerd_v2));
@ -657,6 +663,7 @@ router.post('/claude/decode', jsonParser, createWebTokenizerDecodingHandler(clau
router.post('/llama3/decode', jsonParser, createWebTokenizerDecodingHandler(llama3_tokenizer));
router.post('/qwen2/decode', jsonParser, createWebTokenizerDecodingHandler(qwen2Tokenizer));
router.post('/command-r/decode', jsonParser, createWebTokenizerDecodingHandler(commandTokenizer));
router.post('/nemo/decode', jsonParser, createWebTokenizerDecodingHandler(nemoTokenizer));
router.post('/openai/encode', jsonParser, async function (req, res) {
try {
@ -707,6 +714,11 @@ router.post('/openai/encode', jsonParser, async function (req, res) {
return handler(req, res);
}
if (queryModel.includes('nemo')) {
const handler = createWebTokenizerEncodingHandler(nemoTokenizer);
return handler(req, res);
}
const model = getTokenizerModel(queryModel);
const handler = createTiktokenEncodingHandler(model);
return handler(req, res);
@ -765,6 +777,11 @@ router.post('/openai/decode', jsonParser, async function (req, res) {
return handler(req, res);
}
if (queryModel.includes('nemo')) {
const handler = createWebTokenizerDecodingHandler(nemoTokenizer);
return handler(req, res);
}
const model = getTokenizerModel(queryModel);
const handler = createTiktokenDecodingHandler(model);
return handler(req, res);
@ -835,6 +852,13 @@ router.post('/openai/count', jsonParser, async function (req, res) {
return res.send({ 'token_count': num_tokens });
}
if (model === 'nemo') {
const instance = await nemoTokenizer.get();
if (!instance) throw new Error('Failed to load the Nemo tokenizer');
num_tokens = countWebTokenizerTokens(instance, req.body);
return res.send({ 'token_count': num_tokens });
}
const tokensPerName = queryModel.includes('gpt-3.5-turbo-0301') ? -1 : 1;
const tokensPerMessage = queryModel.includes('gpt-3.5-turbo-0301') ? 4 : 3;
const tokensPadding = 3;