| from opencompass.models import HuggingFaceCausalLM | |
| _meta_template = dict( | |
| round=[ | |
| dict(role="HUMAN", begin=' [INST] ', end=' [/INST] '), | |
| dict(role="BOT", begin='', end='', generate=True), | |
| ], | |
| ) | |
| models = [ | |
| dict( | |
| type=HuggingFaceCausalLM, | |
| abbr='llama-2-70b-chat-hf', | |
| path="meta-llama/Llama-2-70b-chat-hf", | |
| tokenizer_path='meta-llama/Llama-2-70b-chat-hf', | |
| model_kwargs=dict( | |
| device_map='auto' | |
| ), | |
| tokenizer_kwargs=dict( | |
| padding_side='left', | |
| truncation_side='left', | |
| use_fast=False, | |
| ), | |
| meta_template=_meta_template, | |
| max_out_len=100, | |
| max_seq_len=2048, | |
| batch_size=8, | |
| run_cfg=dict(num_gpus=4, num_procs=1), | |
| end_str='[INST]', | |
| ) | |
| ] | |