[Bug] Long text evaluation parameters are not clear

Prerequisite

• I have searched Issues and Discussions but cannot get the expected help.
• The bug has not been fixed in the latest version.

Type

I'm evaluating with the officially supported tasks/models/datasets.

Environment

python 3.10.1
OpenCompass 0.2.3
vllm 0.2.3

Reproduces the problem - code/configuration sample

configs/models/chatglm/vllm_chatglm2_6b_32k.py
from opencompass.models import VLLM

models = [
dict(
type=VLLM,
abbr='chatglm2-6b-32k-vllm',
path='THUDM/chatglm2-6b-32k',
max_out_len=512,
max_seq_len=4096,
batch_size=32,
generation_kwargs=dict(temperature=0),
run_cfg=dict(num_gpus=1, num_procs=1),
)
]

Reproduces the problem - command or script

python run.py --model vllm_chatglm2_6b_32k --datasets longbench leval

Reproduces the problem - error message

The difference between the evaluation result parameters and the document long text evaluation is about 20 points, The score for the document can not be reproduced.

1. “max_seq_len、max_out_len” Should these two parameters be modified in any way?

Other information

No response