Quick fix benchmark script (#11938)
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1 changed files with 2 additions and 2 deletions
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@ -615,9 +615,9 @@ def transformers_int4_npu_win(repo_id,
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# which convert the relevant layers in the model into INT4 format
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st = time.perf_counter()
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if repo_id in CHATGLM_IDS:
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model = AutoModel.from_pretrained(model_path, load_in_low_bit=low_bit, trust_remote_code=True, torch_dtype=torch.float16,
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model = AutoModel.from_pretrained(model_path, load_in_low_bit=low_bit, trust_remote_code=True,
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optimize_model=optimize_model, max_output_len=max_output_len, max_prompt_len=int(in_out_len[0]), transpose_value_cache=True,
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torch_dtype='auto', attn_implementation="eager").eval()
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torch_dtype=torch.float16, attn_implementation="eager").eval()
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tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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elif repo_id in LLAMA_IDS:
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model = AutoModelForCausalLM.from_pretrained(model_path, load_in_low_bit=low_bit, trust_remote_code=True, torch_dtype=torch.float16,
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