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7505b3cadf
* add TheoremQA with 5-shot * add huggingface_above_v4_33 classes * use num_worker partitioner in cli * update theoremqa * update TheoremQA * add TheoremQA * rename theoremqa -> TheoremQA * update TheoremQA output path * rewrite many model configs * update huggingface * further update * refine configs * update configs * update configs * add configs/eval_llama3_instruct.py * add summarizer multi faceted * update bbh datasets * update configs/models/hf_llama/lmdeploy_llama3_8b_instruct.py * rename class * update readme * update hf above v4.33
13 lines
265 B
Python
13 lines
265 B
Python
from opencompass.models import HuggingFaceBaseModel
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models = [
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dict(
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type=HuggingFaceBaseModel,
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abbr='llama-65b-hf',
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path='huggyllama/llama-65b',
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max_out_len=1024,
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batch_size=8,
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run_cfg=dict(num_gpus=4),
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)
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]
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