README.md

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license: gpl-3.0
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# BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models

**BayLing** (**百聆**, **bǎi líng**) is an instruction-following LLM equipped with advanced language alignment, showing superior capability in English/Chinese generation, instruction following and multi-turn interaction. BayLing can be  effortlessly deployed on a consumer-grade GPU with 16GB of memory, and assists users with tasks such as translation, writing, creation, suggestion...

**This model is the *weight-diff* version of BayLing-7B.**

👇 Learn more about BayLing:

💬 [**Demo**](http://nlp.ict.ac.cn/bayling/demo): Welcome to apply for a trial of BayLing's online demo (beta version).

📄 **Paper**: BayLing's technical report.

🏠 [**Blog**](http://nlp.ict.ac.cn/bayling): BayLing's homepage. You can discover some case of BayLing here.

✍️ [**BayLing-80 Test Set**](./data/BayLing-80): A human-annotated evaluation set comprising multi-turn instructions in both English and Chinese, can be used to evaluate the multilingual and multi-turn interaction capabilities of LLMs.

🤗 **Model**: The *weight-diff* version of [BayLing-7B](https://huggingface.co/ICTNLP/bayling-7b-diff) and [BayLing-13B](https://huggingface.co/ICTNLP/bayling-13b-diff), you can quickly get the parameters of BayLing through [apply_delta.py](./apply_delta.py). The HF models of BayLing are anonymized version (exclude BayLing's name in its knowledge), in order to facilitate future LLMs to build upon BayLing.

> BayLing is developed by [NLP Group](http://nlp.ict.ac.cn/) of [Institute of Computing Technology](https://www.cas.cn/), [Chinese Academy of Sciences](https://www.cas.cn/) (ICT/CAS)
>
> Any question or suggestion, please contact with `bayling@ict.ac.cn`


Refer to our [Github Repo](https://github.com/ictnlp/BayLing) for the detailed introduction to BayLing, including deploying BayLing, interacting with BayLing and BayLing's performance.