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convert : recognize gpt-oss (o200k_harmony) tokenizer (#2060)
The openai gpt-oss models, and the z-lab gpt-oss DFlash drafts that reuse their tokenizer, ship the o200k_harmony BPE tokenizer, which shares the GPT-4o pre-tokenizer regex already handled by LLAMA_VOCAB_PRE_TYPE_GPT4O. Its checksum was unrecognized, so get_vocab_base_pre() fell through to the "BPE pre-tokenizer was not recognized" warning and conversion failed. Register the gpt-oss-20b tokenizer hash against the existing "gpt-4o" pre-type in convert_hf_to_gguf_update.py and add the matching entry in get_vocab_base_pre(), following the dual-location pattern already used for the z-lab Qwen3.5 DFlash drafts. Co-authored-by: Joel Farthing <262452229+joelfarthing@users.noreply.github.com>
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co-authored by
Joel Farthing
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615c3e11b8
commit
29431b31c8
@@ -715,6 +715,9 @@ class Model:
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if chkhsh == "9dcf830ee9990cdbf78cc523a5f7bd9ad8f3f9890c2d3581d2785ad10f07049d":
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# ref: https://huggingface.co/JetBrains/Mellum2-12B-A2.5B-Base
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res = "mellum2"
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if chkhsh == "ccc2ef013c104be7bae2965776d611e1d7a8a2a9c547dd93a682c9a9fc80352e":
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# ref: https://huggingface.co/openai/gpt-oss-20b
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res = "gpt-4o"
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if res is None:
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logger.warning("\n")
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logger.warning("**************************************************************************************")
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@@ -106,6 +106,7 @@ models = [
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{"name": "grok-2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/alvarobartt/grok-2-tokenizer", "chkhsh": "66b8d4e19ab16c3bfd89bce5d785fb7e0155e8648708a1f42077cb9fe002c273"},
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{"name": "minimax-m2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/MiniMaxAI/MiniMax-M2", },
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{"name": "mellum2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/JetBrains/Mellum2-12B-A2.5B-Base", },
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{"name": "gpt-4o", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/openai/gpt-oss-20b", "chkhsh": "ccc2ef013c104be7bae2965776d611e1d7a8a2a9c547dd93a682c9a9fc80352e", }, # o200k_harmony shares the GPT-4o pre-tokenizer
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]
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