from opencompass.models import TurboMindModel settings = [ # ('qwen2-0.5b-turbomind', 'Qwen/Qwen2-0.5B', 1), ('qwen2-1.5b-turbomind', 'Qwen/Qwen2-1.5B', 1), ('qwen2-7b-turbomind', 'Qwen/Qwen2-7B', 1), ('qwen2-72b-turbomind', 'Qwen/Qwen2-72B', 4), ('qwen2-57b-a14b-turbomind', 'Qwen/Qwen2-57B-A14B', 2), ] models = [] for abbr, path, num_gpus in settings: models.append( dict( type=TurboMindModel, abbr=abbr, path=path, engine_config=dict(session_len=7168, max_batch_size=8, tp=num_gpus), gen_config=dict(top_k=1, top_p=0.8, temperature=1.0, max_new_tokens=1024), max_out_len=1024, max_seq_len=7168, batch_size=8, concurrency=8, run_cfg=dict(num_gpus=num_gpus, num_procs=1), ) )