| from opencompass.models import HuggingFaceCausalLM | |
| _meta_template = dict( | |
| round=[ | |
| dict(role="HUMAN", begin='USER: ', end=' '), | |
| dict(role="BOT", begin="ASSISTANT: ", end='</s>', generate=True), | |
| ], | |
| ) | |
| models = [ | |
| dict( | |
| type=HuggingFaceCausalLM, | |
| abbr='wizardlm-70b-v1.0-hf', | |
| path='WizardLM/WizardLM-70B-V1.0', | |
| tokenizer_path='WizardLM/WizardLM-70B-V1.0', | |
| model_kwargs=dict( | |
| device_map='auto', | |
| trust_remote_code=True, | |
| ), | |
| tokenizer_kwargs=dict( | |
| padding_side='left', | |
| truncation_side='left', | |
| trust_remote_code=True, | |
| ), | |
| 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='</s>', | |
| ) | |
| ] | |