add deepseekv3 and llama4
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@@ -21,10 +21,6 @@ def set_default_torch_dtype(dtype: torch.dtype):
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def get_model_architecture(
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model_config: ModelConfig) -> Tuple[Type[nn.Module], str]:
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architectures = getattr(model_config.hf_config, "architectures", None) or []
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print(f"[DEBUG-ARCH] get_model_architecture: "
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f"type(hf_config)={type(model_config.hf_config).__name__}, "
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f"architectures={getattr(model_config.hf_config, 'architectures', 'MISSING')}, "
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f"id(hf_config)={id(model_config.hf_config)}")
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# Special handling for quantized Mixtral.
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# FIXME(woosuk): This is a temporary hack.
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mixtral_supported = [
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