from opencompass.models import VLLM _meta_template = dict( begin='', round=[ dict(role='HUMAN', begin='Human: ', end='\n'), dict(role='BOT', begin='Assistant: ', end='', generate=True), ], ) models = [ dict( abbr='orionstar-14b-longchat-vllm', type=VLLM, path='OrionStarAI/Orion-14B-LongChat', model_kwargs=dict(tensor_parallel_size=4), generation_kwargs=dict(temperature=0), meta_template=_meta_template, max_out_len=100, max_seq_len=4096, batch_size=32, run_cfg=dict(num_gpus=4, num_procs=1), stop_words=['<|endoftext|>'], ) ]