Create README.md

README.md

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+---
+language:
+- en
+- zh
+license: apache-2.0
+base_model:
+- Qwen/Qwen3.5-9B
+- Jackrong/Qwopus3.5-9B-v3.5
+tags:
+- unsloth
+- qwen
+- qwen3.5
+- reasoning
+- chain-of-thought
+- Dense
+- vLLM
+- SGLang
+pipeline_tag: image-text-to-text
+datasets:
+- nohurry/Opus-4.6-Reasoning-3000x-filtered
+---
+# 🌟Qwopus3.5-9B-v3.5-INT4-FOEM
+
+This is an unofficial quantized version of Qwopus3.5-9B-v3.5.
+
+### 🧠 Quantization Framework
+
+[GPTQModel](https://github.com/ModelCloud/GPTQModel)
+
+## 🗺️ Quantization Method
+
+[FOEM (AAAI 2026)](https://ojs.aaai.org/index.php/AAAI/article/view/40123)
+
+FOEM is an improved quantization method over GPTQ. The resulting model preserves the same inference structure as GPTQ, ensuring compatibility with existing deployment pipelines while achieving better accuracy.
+
+### 📚 Calibration Dataset
+
+We randomly sampled 512 examples from [nohurry/Opus-4.6-Reasoning-3000x-filtered](https://huggingface.co/datasets/nohurry/Opus-4.6-Reasoning-3000x-filtered).
+
+## 📋 Usage Example
+
+This model can be deployed using standard frameworks such as **vLLM**, just like other GPTQModel-quantized models.
+
+Example evaluation command:
+
+```bash
+lm-eval --model vllm --model_args pretrained=models/gptqmodel/Qwopus3.5-9B-v3.5-INT4-FOEM,tensor_parallel_size=1,gpu_memory_utilization=0.45 --tasks wikitext --batch_size 1
+```
+
+## ⚠️ Limitations & Intended Use
+
+*(Adapted from the original repository of Jackrong/Qwopus3.5-9B-v3.5)*
+
+- Possible overfitting if scaling exceeds optimal regime  
+- Reasoning may still exhibit instability in edge cases  
+- Tool-calling performance depends on environment integration  
+- Not all capabilities are fully benchmarked yet  
+
+## 🙏 Acknowledgements
+Special thanks to [Jackrong](https://huggingface.co/Jackrong) for providing the original model: [Qwopus3.5-9B-v3.5](https://huggingface.co/Jackrong/Qwopus3.5-9B-v3.5).
+
+## 📖 Citation
+
+If you use this model in your research or projects, please cite:
+
+```bibtex
+@misc{jackrong_qwopus35_9b_v35,
+  title        = {Qwopus3.5-9B-v3.5},
+  author       = {Jackrong},
+  year         = {2026},
+  publisher    = {Hugging Face}
+}
+```
+
+```bibtex
+@misc{qubitium2024gptqmodel,
+  author = {ModelCloud.ai and qubitium@modelcloud.ai},
+  title = {GPT-QModel},
+  publisher = {GitHub},
+  journal = {GitHub repository},
+  howpublished = {\url{https://github.com/modelcloud/gptqmodel}},
+  note = {Contact: qubitium@modelcloud.ai},
+  year = {2024},
+}
+```
+
+```bibtex
+@inproceedings{zheng2026first,
+  title={First-order error matters: Accurate compensation for quantized large language models},
+  author={Zheng, Xingyu and Qin, Haotong and Li, Yuye and Chu, Haoran and Wang, Jiakai and Guo, Jinyang and Magno, Michele and Liu, Xianglong},
+  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
+  volume={40},
+  number={34},
+  pages={28883--28891},
+  year={2026}
+}
+```