python airllm调用本地大模型

官方demo https://github.com/lyogavin/Anima/blob/main/air_llm/examples/run_all_types_of_models.ipynb

这里使用百川本地

from airllm import AirLLMLlama2,AutoModel

MAX_LENGTH = 128
# 默认会去抱脸网下载,很慢,而且需要xx上网
#model = AutoModel.from_pretrained("baichuan-inc/Baichuan2-7B-Base", profiling_mode=True)
# 本地大模型地址
model = AirLLMLlama2(r'D:\\cache\\hub\\Baichuan2-7B\\snapshots\\3db3da5')

input_text = [
    # 'What is the capital of China?',
    'I like',
]
input_tokens = model.tokenizer(input_text,
                               return_tensors="pt",
                               return_attention_mask=False,
                               truncation=True,
                               max_length=MAX_LENGTH,
                               # padding=True
                               )

generation_output = model.generate(
    input_tokens['input_ids'].cuda(),
    max_new_tokens=3,
    use_cache=True,
    return_dict_in_generate=True)

model.tokenizer.decode(generation_output.sequences[0])

posted @ 2024-04-30 17:01  朝阳1  阅读(365)  评论(0)    收藏  举报