readme

app.py

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 # 🐦‍⬛ MagpieLMs: Open LLMs with Fully Transparent Alignment Recipes
 
 💬 We've aligned Llama-3.1-8B and a 4B version (distilled by NVIDIA) using purely synthetic data generated by our [Magpie](https://arxiv.org/abs/2406.08464) method. Our open-source post-training recipe includes: SFT and DPO data, all training configs + logs. This allows everyone to reproduce the alignment process for their own research. Note that our data does not contain any GPT-generated data, and has a much friendly license for both commercial and academic use.
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-- **Magpie Collection**: [Magpie on Hugging Face](https://huggingface.co/collections/Magpie-Align/magpielm-66e2221f31fa3bf05b10786a)
-- **Magpie Paper**: [Read the research paper](https://arxiv.org/abs/2406.08464) 
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-Contact: [Zhangchen Xu](https://zhangchenxu.com) and [Bill Yuchen Lin](https://yuchenlin.xyz).
+🔗 Links: [**Magpie Collection**](https://huggingface.co/collections/Magpie-Align/magpielm-66e2221f31fa3bf05b10786a); [**Magpie Paper**](https://arxiv.org/abs/2406.08464) 📮 Contact: [Zhangchen Xu](https://zhangchenxu.com) and [Bill Yuchen Lin](https://yuchenlin.xyz).
 
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