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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
26 lines
756 B
Python
26 lines
756 B
Python
from opencompass.models import HuggingFace
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# refer to https://github.com/THUDM/CodeGeeX2/tree/main
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# For pass@1 : n=20 , temperature=0.2, top_p=0.95
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# For Pass@10 : n=200, temperature=0.8, top_p=0.95
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# For Pass@100 : n=200, temperature=0.8, top_p=0.95
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models = [
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dict(
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type=HuggingFace,
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abbr='codegeex2-6b',
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path='THUDM/codegeex2-6b',
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tokenizer_path='THUDM/codegeex2-6b',
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tokenizer_kwargs=dict(
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padding_side='left',
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truncation_side='left',
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trust_remote_code=True,
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),
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max_out_len=1024,
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max_seq_len=2048,
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batch_size=8,
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model_kwargs=dict(trust_remote_code=True, device_map='auto'),
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run_cfg=dict(num_gpus=1, num_procs=1),
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)
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]
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