OpenCompass/configs/models/hf_qwen_7b.py

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from opencompass.models import HuggingFaceCausalLM
# Please note that we have specified the revision here. Recently (on 20230827),
# during our evaluations, we found that the newer revision models have a drop
# of more than 5 points on datasets like GaokaoBench / mbpp.
# We are not yet sure whether this drop is due to incorrect logic in OpenCompass
# calling qwen or some other reasons. We would like to highlight this.
models = [
dict(
type=HuggingFaceCausalLM,
abbr='qwen-7b-hf',
path="Qwen/Qwen-7B",
tokenizer_path='Qwen/Qwen-7B',
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
trust_remote_code=True,
use_fast=False,
revision='39fc5fdcb95c8c367bbdb3bfc0db71d96266de09'
),
max_out_len=100,
max_seq_len=2048,
batch_size=8,
model_kwargs=dict(
device_map='auto',
trust_remote_code=True,
revision='39fc5fdcb95c8c367bbdb3bfc0db71d96266de09'
),
run_cfg=dict(num_gpus=1, num_procs=1),
)
]