vocab : add ByteDance-Seed/Seed-Coder (#13423)
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4 changed files with 16 additions and 0 deletions
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@ -415,6 +415,13 @@ struct llm_tokenizer_bpe : llm_tokenizer {
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"'(?:[sSdDmMtT]|[lL][lL]|[vV][eE]|[rR][eE])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]|\\s+(?!\\S)|\\s+",
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};
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break;
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case LLAMA_VOCAB_PRE_TYPE_SEED_CODER:
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regex_exprs = {
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// original regex from tokenizer.json
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// "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1}| ?[^\\s\\p{L}\\p{N}\r\n]+|\\s*[\r\n]+|\\s+(?!\\S)|\\s+"
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"(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1}| ?[^\\s\\p{L}\\p{N}\\r\\n]+|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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};
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break;
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default:
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// default regex for BPE tokenization pre-processing
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regex_exprs = {
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@ -1634,6 +1641,10 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
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tokenizer_pre == "bailingmoe") {
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pre_type = LLAMA_VOCAB_PRE_TYPE_BAILINGMOE;
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clean_spaces = false;
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} else if (
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tokenizer_pre == "seed-coder") {
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pre_type = LLAMA_VOCAB_PRE_TYPE_SEED_CODER;
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clean_spaces = false;
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} else {
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throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
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}
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