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convert-hf : support for mixtral-instruct (#4428)
* convert : typo fix, add additional hyperparameters, use LLaMA arch for Mixtral-instruct * convert : use sentencepiece tokenizer for Mixtral-instruct * convert : make flake8 happy
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@ -77,8 +77,18 @@ class Model:
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self.gguf_writer.add_embedding_length(n_embd)
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if (n_ff := self.hparams.get("intermediate_size")) is not None:
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self.gguf_writer.add_feed_forward_length(n_ff)
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if (n_head := self.hparams.get("num_attention_head")) is not None:
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if (n_head := self.hparams.get("num_attention_heads")) is not None:
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self.gguf_writer.add_head_count(n_head)
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if (n_head_kv := self.hparams.get("num_key_value_heads")) is not None:
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self.gguf_writer.add_head_count_kv(n_head_kv)
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if (n_rms_eps := self.hparams.get("rms_norm_eps")) is not None:
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self.gguf_writer.add_layer_norm_rms_eps(n_rms_eps)
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if (n_experts := self.hparams.get("num_local_experts")) is not None:
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self.gguf_writer.add_expert_count(n_experts)
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if (n_experts_used := self.hparams.get("num_experts_per_tok")) is not None:
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self.gguf_writer.add_expert_used_count(n_experts_used)
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self.gguf_writer.add_parallel_residual(self.hparams.get("use_parallel_residual", True))
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def write_tensors(self):
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@ -170,6 +180,8 @@ class Model:
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return StableLMModel
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if model_architecture == "QWenLMHeadModel":
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return QwenModel
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if model_architecture == "MixtralForCausalLM":
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return MixtralModel
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return Model
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def _is_model_safetensors(self) -> bool:
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@ -207,6 +219,8 @@ class Model:
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return gguf.MODEL_ARCH.STABLELM
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if arch == "QWenLMHeadModel":
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return gguf.MODEL_ARCH.QWEN
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if arch == "MixtralForCausalLM":
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return gguf.MODEL_ARCH.LLAMA
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raise NotImplementedError(f'Architecture "{arch}" not supported!')
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@ -837,6 +851,11 @@ class StableLMModel(Model):
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self.gguf_writer.add_layer_norm_eps(1e-5)
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class MixtralModel(Model):
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def set_vocab(self):
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self._set_vocab_sentencepiece()
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class QwenModel(Model):
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@staticmethod
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def token_bytes_to_string(b):
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