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vocab : JetBrains Mellum pre-tokenizer (#15045)
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3 changed files with 6 additions and 1 deletions
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@ -852,6 +852,9 @@ class TextModel(ModelBase):
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if chkhsh == "2085e1638f6c377a0aa4ead21b27bb4cb941bf800df86ed391011769c1758dfb":
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# ref: https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B
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res = "exaone4"
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if chkhsh == "a1e163ecab2e718a4c829d1148b6e86824ec36163bb71941c3dca9cd5ac25756":
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# ref: https://huggingface.co/JetBrains/Mellum-4b-base
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res = "mellum"
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if res is None:
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logger.warning("\n")
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@ -138,6 +138,7 @@ models = [
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{"name": "midm-2.0", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/K-intelligence/Midm-2.0-Base-Instruct", },
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{"name": "lfm2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/LiquidAI/LFM2-Tokenizer"},
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{"name": "exaone4", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B", },
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{"name": "mellum", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/JetBrains/Mellum-4b-base", },
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]
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# some models are known to be broken upstream, so we will skip them as exceptions
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@ -1856,7 +1856,8 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
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tokenizer_pre == "gigachat" ||
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tokenizer_pre == "jina-v2-es" ||
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tokenizer_pre == "jina-v2-de" ||
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tokenizer_pre == "a.x-4.0") {
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tokenizer_pre == "a.x-4.0" ||
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tokenizer_pre == "mellum") {
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pre_type = LLAMA_VOCAB_PRE_TYPE_GPT2;
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} else if (
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tokenizer_pre == "jina-v1-en" ||
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