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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
18 lines
455 B
Python
18 lines
455 B
Python
from opencompass.models import VLLM
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models = [
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dict(
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type=VLLM,
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abbr='mistral-7b-v0.1-vllm',
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path='mistralai/Mistral-7B-v0.1',
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max_out_len=100,
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max_seq_len=2048,
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batch_size=32,
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model_kwargs=dict(dtype='bfloat16'),
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generation_kwargs=dict(temperature=0, top_p=1, max_tokens=2048, stop_token_ids=[2]),
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run_cfg=dict(num_gpus=1, num_procs=1),
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stop_words=['[INST]'],
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)
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]
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