Update README.md

README.md

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 ---
 license: other
-license_name: baai-aquila-model-license-agreement
-license_link: LICENSE
 ---
+
+
+![Aquila_logo](./log.jpeg)
+
+
+<h4 align="center">
+    <p>
+        <b>English</b> |
+        <a href="https://huggingface.co/BAAI/AquilaChat2-34B/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.
+
+## Chat Model Performance
+
+<br>
+<p align="center">
+    <img src="chat_metrics.jpeg" width="1024"/>
+<p>
+<br>
+
+## Quick Start  AquilaChat2-34B（Chat model）
+
+### 1. Inference
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+device = torch.device("cuda")
+model_info = "BAAI/AquilaChat2-34B"
+tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_info, trust_remote_code=True)
+model.eval()
+model.to(device)
+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 series open-source model is licensed under [ BAAI Aquila Model Licence Agreement](https://huggingface.co/BAAI/AquilaChat2-7B/blob/main/BAAI-Aquila-Model-License%20-Agreement.pdf)