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Zhangchen Xu
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---
title: README
emoji: 🐦
colorFrom: pink
colorTo: indigo
sdk: static
pinned: false
---
Hi, I am a magpie 🐦!
πŸ•ΈοΈ **Project Website**: [https://magpie-align.github.io/](https://magpie-align.github.io/)
πŸ“„ **Technical Report**: [https://arxiv.org/abs/2406.08464](https://arxiv.org/abs/2406.08464)
πŸ€— **HF Paper Page**: [https://huggingface.co/papers/2406.08464](https://huggingface.co/papers/2406.08464)
😬 **Codes**: [https://github.com/magpie-align/magpie](https://github.com/magpie-align/magpie)
πŸ€— **Magpie Demo**: [https://huggingface.co/spaces/davanstrien/magpie](https://huggingface.co/spaces/davanstrien/magpie) (Thanks a lot for the implementation from @davanstrien!)
🐦 **Chat with Magpie**: [https://huggingface.co/spaces/flydust/Chat-with-Magpie](https://huggingface.co/spaces/flydust/Chat-with-Magpie)
**Questions?** Please contact [Zhangchen](mailto:[email protected]) by email or raise an issue in [Github](https://github.com/magpie-align/magpie/issues/new/choose).
## Dataset Navigation 🧭
### [**Meta Llama 3**](https://huggingface.co/collections/meta-llama/meta-llama-3-66214712577ca38149ebb2b6)
|Model Name | Dataset | Type | Description |
|-------------|:-------|:-------|:-------|
| [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-1M](https://huggingface.co/datasets/Magpie-Align/Llama-3-Magpie-Pro-1M-v0.1) | SFT | 1M Raw conversations built with Meta Llama 3 70B.
| [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Pro-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
| [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-MT-300K](https://huggingface.co/datasets/Magpie-Align/Magpie-Pro-MT-300K-v0.1) | SFT | Select 300K difficult questions and extend to multi-turn conversations.
| [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-DPO-100K](https://huggingface.co/datasets/Magpie-Align/Magpie-Pro-DPO-100K-v0.1) | DPO | DPO dataset via Best-of-N sampling and rewards.
| [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | [Magpie-Air-3M](https://huggingface.co/datasets/Magpie-Align/Llama-3-Magpie-Air-3M-v0.1) | SFT | 3M Raw conversations built with Meta Llama 3 8B.
| [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | [Magpie-Air-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Air-300K-Filtered) | SFT | Apply a filter and select 300K high quality data.
| [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | [Magpie-Air-MT-300K](https://huggingface.co/datasets/Magpie-Align/Magpie-Air-MT-300K-v0.1) | SFT | Select 300K difficult questions and extend to multi-turn conversations.
| [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | [Magpie-Air-DPO-100K](https://huggingface.co/datasets/Magpie-Align/Magpie-Air-DPO-100K-v0.1) | DPO | DPO dataset via Best-of-N sampling and rewards.
### [**Meta Llama 3.1**](https://huggingface.co/collections/meta-llama/llama-31-669fc079a0c406a149a5738f)
|Model Name | Dataset | Type | Description |
|-------------|:-------|:-------|:-------|
| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-1M](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-1M-v0.1) | SFT | 1M Raw conversations built with Meta Llama 3.1 70B.
| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-500K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-500K-Filtered) | SFT | Apply a filter and select 500K high quality conversations.
| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-MT-500K](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-MT-500K-Filtered) | SFT | Select 500K difficult questions and extend to multi-turn conversations.
| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-DPO-100K](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-DPO-100K-v0.1) | SFT | DPO dataset via Best-of-N sampling and rewards.
### [**Qwen2**](https://huggingface.co/collections/Qwen/qwen2-6659360b33528ced941e557f)
|Model Name | Dataset | Type | Description |
|-------------|:-------|:-------|:-------|
| [Qwen2 72B Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | [Magpie-Qwen2-Pro-1M](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-1M-v0.1) | SFT | 1M Raw conversations built with Qwen2 72B Instruct.
| [Qwen2 72B Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | [Magpie-Qwen2-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
| [Qwen2 72B Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | [Magpie-Qwen2-Pro-200K-Chinese](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese) | SFT | Apply a filter and select 200K high quality Chinese conversations.
| [Qwen2 72B Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | [Magpie-Qwen2-Pro-200K-English](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-200K-English) | SFT | Apply a filter and select 200K high quality English conversations.
| [Qwen2 7B Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct) | [Magpie-Qwen2-Air-3M](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Air-3M-v0.1) | SFT | 3M Raw conversations built with Qwen2 7B Instruct.
| [Qwen2 7B Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct) | [Magpie-Qwen2-Air-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen-Air-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
### [**Phi-3**](https://huggingface.co/collections/microsoft/phi-3-6626e15e9585a200d2d761e3)
|Model Name | Dataset | Type | Description |
|-------------|:-------|:-------|:-------|
| [Phi-3 Medium Instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) | [Magpie-Phi3-Pro-1M](https://huggingface.co/datasets/Magpie-Align/Magpie-Phi3-Pro-1M-v0.1) | SFT | 1M Raw conversations built with Phi-3 Medium Instruct.
| [Phi-3 Medium Instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) | [Magpie-Phi3-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Phi3-Pro-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
### [**Gemma-2**](https://huggingface.co/collections/google/gemma-2-release-667d6600fd5220e7b967f315)
|Model Name | Dataset | Type | Description |
|-------------|:-------|:-------|:-------|
| [Gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it) | [Magpie-Gemma2-Pro-534K](https://huggingface.co/datasets/Magpie-Align/Magpie-Gemma2-Pro-534K-v0.1) | SFT | 534K conversations built with Gemma-2-27b-it.
| [Gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it) | [Magpie-Gemma2-Pro-200K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Gemma2-Pro-200K-Filtered) | SFT | Apply a filter and select 200K conversations.