| --- |
| license: other |
| --- |
| |
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|  |
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| <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> |
| |
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| 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** |
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| The additional details of the Aquila model will be presented in the official technical report. Please stay tuned for updates on official channels. |
|
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| ## Quick Start AquilaChat2-34B（Chat model） |
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| ### 1. Inference |
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|
| ```python |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
| from transformers import BitsAndBytesConfig |
| import torch |
| |
| device = torch.device("cuda:0") |
| model_info = "BAAI/AquilaChat2-34B" |
| 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=0.9, |
| seed=123, topk=15, temperature=1.0, sft=True, device=device, |
| model_name="AquilaChat2-34B") |
| print(out) |
| ``` |
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|
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| ## License |
|
|
| Aquila2 series open-source model is licensed under [ BAAI Aquila Model Licence Agreement](https://huggingface.co/BAAI/AquilaChat2-34B/blob/main/BAAI-Aquila-Model-License%20-Agreement.pdf) |
