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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
19 lines
543 B
Python
19 lines
543 B
Python
from opencompass.models import Mixtral
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# Please follow the instruction in https://github.com/open-compass/MixtralKit
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# to download the model weights and install the requirements
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models = [
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dict(
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abbr="mixtral-8x7b-32k",
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type=Mixtral,
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path="./models/mixtral/mixtral-8x7b-32kseqlen",
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tokenizer_path="./models/mixtral/mixtral-8x7b-32kseqlen/tokenizer.model",
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max_out_len=100,
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max_seq_len=2048,
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batch_size=8,
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num_gpus=2,
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run_cfg=dict(num_gpus=2, num_procs=1),
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),
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] |