mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
30 lines
898 B
Python
30 lines
898 B
Python
|
from opencompass.models import HuggingFaceCausalLM
|
||
|
|
|
||
|
|
_meta_template = dict(
|
||
|
|
round=[
|
||
|
|
dict(role="HUMAN", begin="<|begin_of_text|>user<|end_header_id|>\n\n", end="<|eot_id|>"),
|
||
|
|
dict(role="BOT", begin="<|begin_of_text|>assistant<|end_header_id|>\n\n", end="<|eot_id|>", generate=True),
|
||
|
|
],
|
||
|
|
)
|
||
|
|
|
||
|
|
models = [
|
||
|
|
dict(
|
||
|
|
type=HuggingFaceCausalLM,
|
||
|
|
abbr="llama-3-8b-instruct-hf",
|
||
|
|
path="meta-llama/Meta-Llama-3-8B-Instruct",
|
||
|
|
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=1, num_procs=1),
|
||
|
|
generation_kwargs={"eos_token_id": [128001, 128009]},
|
||
|
|
batch_padding=True,
|
||
|
|
)
|
||
|
|
]
|