---
title: Aquila2-70B-Expr
canonical_url: "https://www.modelscope.cn/models/BAAI/Aquila2-70B-Expr"
md_url: "https://www.modelscope.cn/models/BAAI/Aquila2-70B-Expr.md"
repository: BAAI/Aquila2-70B-Expr
last_updated: 2026-07-14
license: other
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - aquila
architectures:
  - AquilaForCausalLM
library_name:
  - pytorch
  - transformer
frameworks:
  - pytorch
downloads: 2115
stars: 0
---

# Aquila2-70B-Expr

> Aquila2-70B-Expr - BAAI 在 ModelScope 开源的模型。We opensource our Aquila2 series, now including Aquila2, the base language models, namely Aquila2-7B, Aquila2-34B and Aquila2-70B-Expr , as well as AquilaChat2, the chat models, namely AquilaChat2-7B,…

BAAI/Aquila2-70B-Expr 是 ModelScope 魔搭社区上的text-generation模型，采用 other 许可。

- **Repository**: BAAI/Aquila2-70B-Expr
- **License**: other
- **Tasks**: text-generation
- **Downloads**: 2115
- **Stars**: 0
- **Last updated**: 2026-07-14

Source: https://www.modelscope.cn/models/BAAI/Aquila2-70B-Expr

---

![Aquila_logo](./log.jpeg)


<h4 align="center">
    <p>
        <b>English</b> |
        <a href="https://huggingface.co/BAAI/AquilaChat2-70B-Expr/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**, **Aquila2-34B** and **Aquila2-70B-Expr** , as well as **AquilaChat2**, the chat models, namely **AquilaChat2-7B**, **AquilaChat2-34B** and **AquilaChat2-70B-Expr**, 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

### 1. Inference

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

model_info = "BAAI/Aquila2-70B-Expr"
tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(model_info, trust_remote_code=True)
model.eval()
text = "请给出10个要到北京旅游的理由。"
tokens = tokenizer.encode_plus(text)['input_ids']
tokens = torch.tensor(tokens)[None,].to(device)
stop_tokens = ["###", "[UNK]", "</s>"]
with torch.no_grad():
    out = model.generate(tokens, do_sample=True, max_length=512, eos_token_id=100007, bad_words_ids=[[tokenizer.encode(token)[0] for token in stop_tokens]])[0]
    out = tokenizer.decode(out.cpu().numpy().tolist())
    print(out)
```


## License

Aquila2 70B series open-source model is licensed under [ BAAI Aquila 70B Model Licence Agreement](https://huggingface.co/BAAI/Aquila2-70B-Expr/blob/main/BAAI-Aquila-70B-Model-License-Agreement.pdf)




# Acknowledgements

This work is supported by the National Science and Technology Major Project (No. 2022ZD0116300).
本项目受新一代人工智能国家科技重大专项（No. 2022ZD0116300）支持。