from opencompass.models import ModelScopeCausalLM _meta_template = dict( round=[ dict(role='HUMAN', begin='<|User|>:', end='\n'), dict(role='BOT', begin='<|Bot|>:', end='\n', generate=True), ], ) models = [ dict( type=ModelScopeCausalLM, abbr='internlm-chat-7b-8k-ms', path='Shanghai_AI_Laboratory/internlm-chat-7b-8k', tokenizer_path='Shanghai_AI_Laboratory/internlm-chat-7b-8k', tokenizer_kwargs=dict( padding_side='left', truncation_side='left', use_fast=False, trust_remote_code=True, ), max_out_len=100, max_seq_len=2048, batch_size=8, meta_template=_meta_template, model_kwargs=dict(trust_remote_code=True, device_map='auto'), run_cfg=dict(num_gpus=1, num_procs=1), ) ]