| kobest_boolq | kobest_copa | kobest_hellaswag | kobest_sentineg |
|---|---|---|---|
| 0.931613 | 0.740751 | 0.468602 | 0.488465 |
# source environment variable
source /usr/local/Ascend/ascend-toolkit/set_env.sh
export OPENMIND_FRAMEWORK=ptOpenMind Library 可通过 pip 进行安装，请根据实际环境选择相应命令进行安装。
需要注意的是，由于 torch npu 依赖于 torch，在 aarch64 环境下可直接通过 pip 安装，但在 x86 环境下需要通过特定 URL 下载 CPU 版本，因此两种环境下的安装命令有所不同。具体安装代码已在下文进行区分呈现。
# aarch64
pip install openmind[all]
# x86
pip install openmind[all] --extra-index-url https://download.pytorch.org/whl/cpufrom openmind import AutoTokenizer, AutoModelForCausalLM
import torch
import torch_npu
model_dir = "HangZhou_Ascend/nox_DPOv3"
tokenizer = AutoTokenizer.from_pretrained(model_dir, device_map="auto", trust_remote_code=True)
# Set `torch_dtype=torch.float16` to load model in float16, otherwise it will be loaded as float32 and might cause OOM Error.
model = AutoModelForCausalLM.from_pretrained(model_dir, device_map="auto", trust_remote_code=True, torch_dtype=torch.float16)
model = model.eval()
response, history = model.chat(tokenizer, "1+1=", history=[], meta_instruction="")
print(response)