| from opencompass.models import HuggingFaceCausalLM | |
| models = [ | |
| # LLaMA 30B | |
| dict( | |
| type=HuggingFaceCausalLM, | |
| abbr='llama-30b-hf', | |
| path="huggyllama/llama-30b", | |
| tokenizer_path='huggyllama/llama-30b', | |
| tokenizer_kwargs=dict(padding_side='left', | |
| truncation_side='left', | |
| use_fast=False, | |
| ), | |
| max_out_len=100, | |
| max_seq_len=2048, | |
| batch_size=8, | |
| model_kwargs=dict(device_map='auto'), | |
| batch_padding=False, # if false, inference with for-loop without batch padding | |
| run_cfg=dict(num_gpus=4, num_procs=1), | |
| ) | |
| ] | |