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README.md
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- llm
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- large-language-model
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- recommender-system
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- llm
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- large-language-model
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- recommender-system
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---
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# 🌟 MiniOneRec · Generative Recommender Checkpoints
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<p align="center">
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<img src="https://raw.githubusercontent.com/AkaliKong/MiniOneRec/main/assets/logo.png" width="450"/>
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</p>
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**MiniOneRec** is the *first fully-open generative recommendation framework*.
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It provides an end-to-end workflow covering **Semantic-ID (SID) construction**, **Supervised Fine-Tuning (SFT)** and **Recommendation-oriented Reinforcement Learning (RL)**.
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These checkpoints accompany the paper:
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> **MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation**
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> <a href="https://arxiv.org/abs/2510.24431">📄 Technical Report</a> |📦 <a href="https://github.com/AkaliKong/MiniOneRec"> Github</a>|<a href="https://modelscope.cn/models/k925238839/MiniOneRec">🤖 Modelscope</a>
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---
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## 🗺️ Table of Contents
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1. Model Summary
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2. Intended Uses & Limitations
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3. Quick Start
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4. Training & Evaluation Details
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5. Citation
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6. Acknowledgements
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---
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## 1️⃣ Model Summary
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MiniOneRec rewrites every catalogue item into a discrete **SID token**:
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1. **Text Encoder** (frozen PLM) →
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2. **3-level Residual Quantisation (RQ-VAE / RQ-KMeans)** → SID.
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User history ≙ SID sequence.
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Training pipeline:
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Stage
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Objective
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Notes
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|-------|-----------|-------|
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| **SFT** | Next-SID prediction + language alignment | inherits world knowledge while grounding in item space |
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| **RL (GRPO)** | KL-regularised policy optimisation | constrained beam search over the closed SID set |
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### Released checkpoints (examples)
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Checkpoint
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Base LLM
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#
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Params
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Precision
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Stage
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|-------------------------------------|---------------------|---------|-----------|-----------|
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| `MiniOneRec-SFT-industrial` | Qwen-7B | 7 B | bf16 | SFT |
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| `MiniOneRec-RL-industrial` | Qwen-7B | 7 B | bf16 | SFT+RL |
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*(Replace with the exact repo names you upload.)*
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---
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## 2️⃣ Intended Uses & Limitations
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### ✅ Intended
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* Next-item prediction in e-commerce / content platforms.
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* Research on generative recommendation and RL-from-human-feedback variants.
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### ❌ Out-of-Scope
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* Safety-critical deployments without exhaustive evaluation.
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* Domains whose item catalogue is not covered by the released SID vocabulary.
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* Generation of content that violates the Apache-2.0 license or local regulations.
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### ⚖️ Ethical Considerations
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The model may inherit bias from the training corpus (user behaviour, language model).
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Please **audit for fairness, privacy and potential leakage** before production use.
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---
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## 3️⃣ Citation
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```
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@misc{MiniOneRec,
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title = {MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation},
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author = {Xiaoyu Kong and Leheng Sheng and Junfei Tan and Yuxin Chen and Jiancan Wu and An Zhang and Xiang Wang and Xiangnan He},
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year = {2025},
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eprint = {2510.24431},
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archivePrefix = {arXiv},
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primaryClass = {cs.IR}
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}
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@article{ReRe,
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title = {Reinforced Preference Optimization for Recommendation},
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author = {Junfei Tan and Yuxin Chen and An Zhang and Junguang Jiang and Bin Liu and Ziru Xu and Han Zhu and Jian Xu and Bo Zheng and Xiang Wang},
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journal = {arXiv preprint arXiv:2510.12211},
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year = {2025}
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}
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```
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## 4️⃣ Acknowledgements
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This repository reuses or adapts portions of code from the following open-source projects. We gratefully acknowledge their authors and contributors:
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- [ReRe](https://github.com/sober-clever/ReRe)
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- [LC-Rec](https://github.com/zhengbw0324/LC-Rec)
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## 5️⃣ Institutions <!-- omit in toc -->
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This project is developed by the following institutions:
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- <img src="assets/lds.png" width="28px"> [LDS](https://data-science.ustc.edu.cn/_upload/tpl/15/04/5380/template5380/index.html)
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- <img src="assets/alphalab.jpg" width="28px"> [AlphaLab](https://alphalab-ustc.github.io/index.html)
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- <img src="assets/next.jpg" width="28px"> [NExT](https://www.nextcenter.org/)
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