File size: 813 Bytes
256a159
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
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-2-13b-chat-hf',
        path="meta-llama/Llama-2-13b-chat-hf",
        tokenizer_path='meta-llama/Llama-2-13b-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=2, num_procs=1),
        end_str='[INST]',
    )
]