| from opencompass.models import HuggingFaceCausalLM | |
| _meta_template = dict( | |
| begin='Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n', | |
| round=[ | |
| dict(role="HUMAN", begin='### Instruction:\n', end='\n\n'), | |
| dict(role="BOT", begin="### Response:", end='\n\n', generate=True), | |
| ], | |
| ) | |
| models = [ | |
| dict( | |
| abbr='gsm8k-rft-llama7b2-u13b', | |
| type=HuggingFaceCausalLM, | |
| path='OFA-Sys/gsm8k-rft-llama7b2-u13b', | |
| tokenizer_path='OFA-Sys/gsm8k-rft-llama7b2-u13b', | |
| 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=1, num_procs=1), | |
| ) | |
| ] | |