
https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila

```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained('qhduan/aquilachat-7b')
model = AutoModelForCausalLM.from_pretrained('qhduan/aquilachat-7b', trust_remote_code=True)
model = model.eval().half().cuda()

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('cuda'),
        do_sample=False,
        max_new_tokens=200,
        use_cache=True
    )
    output_ids = ret[0].detach().cpu().numpy().tolist()
    if 100007 in output_ids:
        output_ids = output_ids[:output_ids.index(100007)]
    elif 0 in output_ids:
        output_ids = output_ids[:output_ids.index(0)]
    # 北京之所以成为中国的首都，是因为它在中国历史和文化中的重要地位和政治、经济、文化等方面的影响力。
    print(tokenizer.decode(output_ids))
```

Aquila-7B和Aquila-33B开源模型使用 [智源Aquila系列模型许可协议](https://github.com/FlagAI-Open/FlagAI/blob/master/BAAI_Aquila_Model_License.pdf), 原始代码基于Apache Licence 2.0。
{"language": ["zh"]}
transformers pytorch llama text-generation custom_code zh autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #custom_code #zh #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 


URL



Aquila-7B和Aquila-33B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。
TAGS
#transformers #pytorch #llama #text-generation #custom_code #zh #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
