| from opencompass.models import HuggingFaceCausalLM | |
| _meta_template = dict( | |
| round=[ | |
| dict(role='HUMAN', begin='\n\n### Instruction:\n'), | |
| dict(role='BOT', begin='\n\n### Response:\n', generate=True), | |
| ], | |
| ) | |
| models = [ | |
| dict( | |
| type=HuggingFaceCausalLM, | |
| abbr='tigerbot-13b-chat-v1-hf', | |
| path="TigerResearch/tigerbot-13b-chat-v1", | |
| tokenizer_path='TigerResearch/tigerbot-13b-chat-v1', | |
| tokenizer_kwargs=dict( | |
| padding_side='left', | |
| truncation_side='left', | |
| 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=2, num_procs=1), | |
| ) | |
| ] | |