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convert : add support of codeqwen due to tokenizer (#6707)
* add support of codeqwen due to tokenizer * override load_hparams * fix typo * fix load_params * convert : fix whitespace --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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@ -363,6 +363,16 @@ class Model(ABC):
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scores.append(-1000.0)
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scores.append(-1000.0)
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toktypes.append(SentencePieceTokenTypes.USER_DEFINED)
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toktypes.append(SentencePieceTokenTypes.USER_DEFINED)
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if vocab_size > len(tokens):
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pad_count = vocab_size - len(tokens)
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print(
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f"Padding vocab with {pad_count} token(s) - [PAD1] through [PAD{pad_count}]"
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)
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for i in range(1, pad_count + 1):
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tokens.append(f"[PAD{i}]")
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scores.append(-1000.0)
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toktypes.append(SentencePieceTokenTypes.UNUSED)
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assert len(tokens) == vocab_size
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assert len(tokens) == vocab_size
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self.gguf_writer.add_tokenizer_model("llama")
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self.gguf_writer.add_tokenizer_model("llama")
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@ -1789,6 +1799,12 @@ class QwenModel(Model):
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class Qwen2Model(Model):
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class Qwen2Model(Model):
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model_arch = gguf.MODEL_ARCH.QWEN2
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model_arch = gguf.MODEL_ARCH.QWEN2
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def set_vocab(self):
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try:
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self._set_vocab_sentencepiece()
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except FileNotFoundError:
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self._set_vocab_gpt2()
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@Model.register("Qwen2MoeForCausalLM")
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@Model.register("Qwen2MoeForCausalLM")
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class Qwen2MoeModel(Model):
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class Qwen2MoeModel(Model):
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