File size: 1,696 Bytes
8d8f794 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 |
---
license: apache-2.0
language:
- en
base_model:
- Qwen/Qwen2.5-0.5B
---
## Model Description
This Memory Decoder model is trained on the Law domain and can be adapted to enhance any model in the Qwen2 and Qwen2.5 families.
**Paper:** [Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models](https://www.arxiv.org/abs/2508.09874)
**GitHub:** [https://github.com/LUMIA-Group/MemoryDecoder](https://github.com/LUMIA-Group/MemoryDecoder/tree/main)
## Training & Evaluation Data
**Law Domain Dataset:** [AsyLex](https://huggingface.co/datasets/clairebarale/AsyLex)
**Test Split:** [MemoryDecoder-domain-data](https://huggingface.co/datasets/Clover-Hill/MemoryDecoder-domain-data)
## Performance Results
### Qwen2 Family
| Model | Base Model | Base + MemDec |
|-------|------------|---------------|
| Qwen2-0.5B | 10.23 | 4.57 |
| Qwen2-1.5B | 7.69 | 4.32 |
| Qwen2-7B | 5.92 | 4.00 |
| Qwen2-72B | 4.84 | 3.69 |
### Qwen2.5 Family
| Model | Base Model | Base + MemDec |
|-------|------------|---------------|
| Qwen2.5-0.5B | 9.86 | 4.57 |
| Qwen2.5-1.5B | 7.42 | 4.29 |
| Qwen2.5-3B | 6.68 | 4.16 |
| Qwen2.5-7B | 5.94 | 4.01 |
| Qwen2.5-14B | 5.35 | 3.86 |
| Qwen2.5-32B | 5.18 | 3.81 |
| Qwen2.5-72B | 4.84 | 3.70 |
*Perplexity scores on Law domain test set. Lower is better.*
## Citation
```bibtex
@article{cao2025memory,
title={Memory decoder: A pretrained, plug-and-play memory for large language models},
author={Cao, Jiaqi and Wang, Jiarui and Wei, Rubin and Guo, Qipeng and Chen, Kai and Zhou, Bowen and Lin, Zhouhan},
journal={arXiv preprint arXiv:2508.09874},
year={2025}
}
```
## Contact
For questions and support: [email protected] |