from opencompass.models import VLLM _meta_template = dict( begin='', round=[ dict(role='HUMAN', begin='[INST]', end='[/INST]'), dict(role='BOT', begin='', end='', 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), stop_words=[''], run_cfg=dict(num_gpus=2, num_procs=1), ) ]