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| license: cc-by-nc-nd-4.0 |
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| # EAGLE-2 Baseline Checkpoint (Used in PosS) |
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| This repository provides a reproduced **EAGLE-2** model checkpoint that is used as a **baseline** in **PosS (Position Specialist)** experiments. |
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| PosS is a speculative decoding method proposed in the paper: |
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| > **PosS: Position Specialist Generates Better Draft for Speculative Decoding** |
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| In our experiments, this EAGLE-2 checkpoint serves as the baseline draft model for comparison with the proposed position-specialized draft models. |
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| ## 🔗 Code |
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| The full implementation of PosS, along with training details and evaluation scripts (including EAGLE-2 baselines), is available at: |
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| 👉 **GitHub:** https://github.com/shrango/PosS |
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| ## 📦 Files |
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| If the model is not automatically downloaded by your framework, you may manually download the following files from this repository: |
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| - `pytorch_model.bin` — model weights |
| - `config.json` — model configuration |
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| ## 📖 Citation |
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| If you use this checkpoint in the context of PosS or refer to the PosS method, please cite: |
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| ```bibtex |
| @misc{huang2025posspositionspecialistgenerates, |
| title = {POSS: Position Specialist Generates Better Draft for Speculative Decoding}, |
| author = {Langlin Huang and Chengsong Huang and Jixuan Leng and Di Huang and Jiaxin Huang}, |
| year = {2025}, |
| eprint = {2506.03566}, |
| archivePrefix= {arXiv}, |
| primaryClass = {cs.CL}, |
| url = {https://arxiv.org/abs/2506.03566} |
| } |
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