mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
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
27 lines
652 B
Python
27 lines
652 B
Python
from opencompass.models import VLLM
|
|
|
|
|
|
_meta_template = dict(
|
|
begin="<s>",
|
|
round=[
|
|
dict(role="HUMAN", begin='[INST]', end='[/INST]'),
|
|
dict(role="BOT", begin="", end='</s>', generate=True),
|
|
],
|
|
)
|
|
|
|
models = [
|
|
dict(
|
|
type=VLLM,
|
|
abbr='mixtral-8x7b-instruct-v0.1-vllm',
|
|
path='mistralai/Mixtral-8x7B-Instruct-v0.1',
|
|
model_kwargs=dict(tensor_parallel_size=2),
|
|
meta_template=_meta_template,
|
|
max_out_len=100,
|
|
max_seq_len=2048,
|
|
batch_size=32,
|
|
generation_kwargs=dict(temperature=0),
|
|
end_str='</s>',
|
|
run_cfg=dict(num_gpus=2, num_procs=1),
|
|
)
|
|
]
|