OpenCompass/opencompass/configs/models/nvidia/lmdeploy_nemotron_70b_instruct_hf.py
Linchen Xiao 835bf75a36
[Feature] Add long context evaluation for base models (#1666)
* [Update] Add base long context evaluation

* update
2024-11-08 10:53:29 +08:00

19 lines
580 B
Python

from opencompass.models import TurboMindModelwithChatTemplate
models = [
dict(
type=TurboMindModelwithChatTemplate,
abbr='nvidia-3_1-Nemotron-70b-instruct-HF-turbomind',
path='nvidia/Llama-3.1-Nemotron-70B-Instruct-HF',
engine_config=dict(max_batch_size=16, tp=4),
gen_config=dict(
top_k=1, temperature=1e-6, top_p=0.9, max_new_tokens=4096
),
max_seq_len=16384,
max_out_len=4096,
batch_size=16,
run_cfg=dict(num_gpus=4),
stop_words=['<|end_of_text|>', '<|eot_id|>'],
)
]