convert : fix nomic-bert-moe mask token (#13757)
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2 changed files with 13 additions and 2 deletions
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@ -3889,6 +3889,12 @@ class BertModel(TextModel):
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SentencePieceTokenTypes.UNKNOWN,
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] + toktypes[3:-1]
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if self.model_arch == gguf.MODEL_ARCH.NOMIC_BERT_MOE:
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# Add mask token missing from sentencepiece.bpe.model
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tokens[250001] = b'<mask>'
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scores[250001] = 0.0
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toktypes[250001] = SentencePieceTokenTypes.CONTROL
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self.gguf_writer.add_tokenizer_model("t5")
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self.gguf_writer.add_tokenizer_pre("default")
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self.gguf_writer.add_token_list(tokens)
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@ -2080,9 +2080,11 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
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std::string model_name;
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std::string tokenizer_pre;
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std::string general_arch;
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ml.get_key(LLM_KV_GENERAL_NAME, model_name, false);
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ml.get_key(LLM_KV_TOKENIZER_PRE, tokenizer_pre, false);
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ml.get_key(LLM_KV_GENERAL_ARCHITECTURE, general_arch, false);
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// model name to lowercase
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std::transform(model_name.begin(), model_name.end(), model_name.begin(),
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@ -2091,8 +2093,11 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
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}
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);
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// set attributes by model/tokenizer name
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if (_contains_any(tokenizer_pre, {"jina-v2-de", "jina-v2-es", "jina-v2-code"})) {
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// set attributes by model/tokenizer/architecture name
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if (false
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|| _contains_any(tokenizer_pre, {"jina-v2-de", "jina-v2-es", "jina-v2-code"})
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|| _contains_any(general_arch, {"nomic-bert-moe"})
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) {
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_set_token_attr("<mask>", LLAMA_TOKEN_ATTR_LSTRIP, true);
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} else if (_contains_any(model_name, {"phi-3", "phi3"})) {
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for (auto id : cache_special_tokens) {
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