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falcon : use stated vocab size (#2914)
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@ -137,7 +137,9 @@ with open(tokenizer_json_file, "r", encoding="utf-8") as f:
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print("gguf: get gpt2 tokenizer vocab")
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vocab_size = len(tokenizer_json["model"]["vocab"])
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# The number of tokens in tokenizer.json can differ from the expected vocab size.
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# This causes downstream issues with mismatched tensor sizes when running the inference
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vocab_size = hparams["vocab_size"] if "vocab_size" in hparams else len(tokenizer_json["model"]["vocab"])
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# ref: https://github.com/cmp-nct/ggllm.cpp/blob/master/falcon_convert.py
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tokenizer = AutoTokenizer.from_pretrained(dir_model)
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