README.md

---
language:
- zh
pipeline_tag: text-generation
---
FP16 Model converted from AquilaChat-7b v0.6 Pytorch Model:
https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila/Aquila-chat

Support Inference with AutoModelForCausalLM, ORTModelForCausalLM and OVModelForCausalLM
```python
#!pip install transformers>=4.30.2
#!pip install optimum>=1.8.8 optimum-intel[openvino]==1.9.1
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained('sammysun0711/aquilachat-7b-hf', trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained('sammysun0711/aquilachat-7b-hf', trust_remote_code=True)
model = model.eval()
# from optimum.onnxruntime import ORTModelForCausalLM
# model = ORTModelForCausalLM.from_pretrained('sammysun0711/aquilachat-7b-hf', export=True, use_cache=True, trust_remote_code=True)

# from optimum.intel import OVModelForCausalLM
# model = OVModelForCausalLM.from_pretrained('sammysun0711/aquilachat-7b-hf', export=True, use_cache=True, trust_remote_code=True)

question = '北京为什么是中国的首都？'
prompt = (
    '''A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions.'''
    f'''###Human: {question}###Assistant:'''
)
with torch.no_grad():
    ret = model.generate(
        **tokenizer(prompt, return_tensors='pt').to('cpu'),
        do_sample=False,
        max_new_tokens=200,
        use_cache=True
    )
    print(tokenizer.decode(ret.tolist()[0]))
```
> 北京是中国的首都，是因为它在中国历史和文化中具有重要的地位，被选中作为中国的政治中心。在中国古代，北京是几个朝代的首都，如辽、金、元、明、清朝。在这些朝代，北京都是政治、经济、文化中心和军事重镇。此外，北京还是现代中国的政治中心，有着重要的国际地位。


AquilaChat-7B开源模型使用《智源Aquila系列模型许可协议》, 原始代码基于Apache Licence 2.0。