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--- |
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license: other |
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--- |
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<h4 align="center"> |
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<p> |
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<a href="https://huggingface.co/BAAI/AquilaChat2-7B/blob/main/README.md">English</a> |
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<b>简体中文</b> | |
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</p> |
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</h4> |
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# 悟道·天鹰（Aquila2） |
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我们开源了我们的 **Aquila2** 系列，现在包括基础语言模型 **Aquila2-7B** 和 **Aquila2-34B** ，对话模型 **AquilaChat2-7B** 和 **AquilaChat2-34B**，长文本对话模型**AquilaChat2-7B-16k** 和 **AquilaChat2-34B-16k** |
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悟道 · 天鹰 Aquila 模型的更多细节将在官方技术报告中呈现。请关注官方渠道更新。 |
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## 对话模型性能 |
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<br> |
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<p align="center"> |
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<img src="chat_metrics.jpeg" width="1024"/> |
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<p> |
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<br> |
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## Quick Start AquilaChat-7B（Chat model） |
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### 1. Inference |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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import torch |
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device = torch.device("cuda") |
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model_info = "BAAI/AquilaChat2-7B" |
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tokenizer = AutoTokenizer.from_pretrained(model_info, trust_remote_code=True) |
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model = AutoModelForCausalLM.from_pretrained(model_info, trust_remote_code=True) |
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model.eval() |
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model.to(device) |
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text = "请给出10个要到北京旅游的理由。" |
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tokens = tokenizer.encode_plus(text)['input_ids'][:-1] |
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tokens = torch.tensor(tokens)[None,].to(device) |
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stop_tokens = ["###", "[UNK]", "</s>"] |
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with torch.no_grad(): |
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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] |
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out = tokenizer.decode(out.cpu().numpy().tolist()) |
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print(out) |
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``` |
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## License |
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AquilaChat2-7B open-source model is licensed under [ BAAI Aquila Model Licence Agreement](https://huggingface.co/BAAI/AquilaChat-7B/resolve/main/BAAI%20Aquila%20Model%20License%20Agreement.pdf) |
