|
--- |
|
license: other |
|
--- |
|
|
|
|
|
 |
|
|
|
|
|
<h4 align="center"> |
|
<p> |
|
<b>English</b> | |
|
<a href="https://huggingface.co/BAAI/AquilaChat2-34B-16K/blob/main/README_zh.md">简体中文</a> |
|
</p> |
|
</h4> |
|
|
|
|
|
We opensource our **Aquila2** series, now including **Aquila2**, the base language models, namely **Aquila2-7B** and **Aquila2-34B**, as well as **AquilaChat2**, the chat models, namely **AquilaChat2-7B** and **AquilaChat2-34B**, as well as the long-text chat models, namely **AquilaChat2-7B-16k** and **AquilaChat2-34B-16k** |
|
|
|
The additional details of the Aquila model will be presented in the official technical report. Please stay tuned for updates on official channels. |
|
|
|
## Quick Start AquilaChat2-34B-16K（Chat model） |
|
|
|
### 1. Inference |
|
|
|
```python |
|
from transformers import AutoTokenizer, AutoModelForCausalLM |
|
import torch |
|
|
|
device = torch.device("cuda:0") |
|
model_info = "BAAI/AquilaChat2-34B-16k" |
|
tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True) |
|
quantization_config=BitsAndBytesConfig( |
|
load_in_4bit=True, |
|
bnb_4bit_use_double_quant=True, |
|
bnb_4bit_quant_type="nf4", |
|
bnb_4bit_compute_dtype=torch.bfloat16, |
|
) |
|
model = AutoModelForCausalLM.from_pretrained(model_info, trust_remote_code=True, torch_dtype=torch.bfloat16, |
|
# quantization_config=quantization_config, # Uncomment this line for 4bit quantization |
|
) |
|
model.eval() |
|
model.to(device) |
|
text = "请给出10个要到北京旅游的理由。" |
|
from predict import predict |
|
out = predict(model, text, tokenizer=tokenizer, max_gen_len=200, top_p=0.95, |
|
seed=1234, topk=100, temperature=0.9, sft=True, device=device, |
|
model_name="AquilaChat2-34B-16K") |
|
print(out) |
|
``` |
|
|
|
|
|
## License |
|
|
|
Aquila2 series open-source model is licensed under [ BAAI Aquila Model Licence Agreement](https://huggingface.co/BAAI/AquilaChat2-34B-16K/blob/main/BAAI-Aquila-Model-License%20-Agreement.pdf) |
