| from opencompass.models import Llama2Chat | |
| # Please follow the instruction in the Meta AI website https://github.com/facebookresearch/llama | |
| # and download the LLaMA-2-Chat model and tokenizer to the path './models/llama2/llama/'. | |
| # | |
| # The LLaMA requirement is also needed to be installed. | |
| # | |
| # git clone https://github.com/facebookresearch/llama.git | |
| # cd llama | |
| # pip install -e . | |
| api_meta_template = dict( | |
| round=[ | |
| dict(role="HUMAN", api_role="HUMAN"), | |
| dict(role="BOT", api_role="BOT", generate=True), | |
| ], | |
| ) | |
| models = [ | |
| dict( | |
| abbr="llama-2-7b-chat", | |
| type=Llama2Chat, | |
| path="./models/llama2/llama/llama-2-7b-chat/", | |
| tokenizer_path="./models/llama2/llama/tokenizer.model", | |
| meta_template=api_meta_template, | |
| max_out_len=100, | |
| max_seq_len=2048, | |
| batch_size=16, | |
| run_cfg=dict(num_gpus=1, num_procs=1), | |
| ), | |
| ] | |