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Quick fix benchmark script (#11938)

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binbin Deng 2024-08-27 15:29:27 +08:00 committed by GitHub
parent b4b6ddf73c
commit 7f7f6c89f5
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1 changed files with 2 additions and 2 deletions
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python/llm/dev/benchmark/all-in-one/run.py
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@ -615,9 +615,9 @@ def transformers_int4_npu_win(repo_id,
# which convert the relevant layers in the model into INT4 format # which convert the relevant layers in the model into INT4 format
st = time.perf_counter() st = time.perf_counter()
if repo_id in CHATGLM_IDS: if repo_id in CHATGLM_IDS:
model = AutoModel.from_pretrained(model_path, load_in_low_bit=low_bit, trust_remote_code=True, torch_dtype=torch.float16, model = AutoModel.from_pretrained(model_path, load_in_low_bit=low_bit, trust_remote_code=True,
optimize_model=optimize_model, max_output_len=max_output_len, max_prompt_len=int(in_out_len[0]), transpose_value_cache=True, optimize_model=optimize_model, max_output_len=max_output_len, max_prompt_len=int(in_out_len[0]), transpose_value_cache=True,
torch_dtype='auto', attn_implementation="eager").eval() torch_dtype=torch.float16, attn_implementation="eager").eval()
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True) tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
elif repo_id in LLAMA_IDS: elif repo_id in LLAMA_IDS:
model = AutoModelForCausalLM.from_pretrained(model_path, load_in_low_bit=low_bit, trust_remote_code=True, torch_dtype=torch.float16, model = AutoModelForCausalLM.from_pretrained(model_path, load_in_low_bit=low_bit, trust_remote_code=True, torch_dtype=torch.float16,