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Mem-T-4B
EdwinYue/Mem-T-4B
Mem-T-4B is a machine learning model from EdwinYue. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Mem-T-4B refers to the model parameters derived from training Qwen3-4B-Instruct using MoT-GRPO within the Mem-T framework.
All-time downloads
266
Public
Parameters
4.4B
8.8 GB on disk
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2
Public
Repo makeup
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At a glance
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Jan 30, 2026
- Updated
- Feb 2, 2026
- SHA
- e88507d2
Base models
Model card
From the Hugging Face model README
Model Description
Mem-T-4B refers to the model parameters derived from training Qwen3-4B-Instruct using MoT-GRPO within the Mem-T framework.
Usage
For detailed instructions on how to use within the Mem-T framework, please refer to the main Mem-T GitHub repository.
Links
Citation
If you find this work useful, please consider citing our paper.
@misc{yue2026memtdensifyingrewardslonghorizon,
title={Mem-T: Densifying Rewards for Long-Horizon Memory Agents},
author={Yanwei Yue and Guibin Zhang and Boci Peng and Xuanbo Fan and Jiaxin Guo and Qiankun Li and Yan Zhang},
year={2026},
eprint={2601.23014},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2601.23014},
}
- Type
- qwen3
- License
- apache-2.0
- Created
- Jan 30, 2026
- Updated
- Feb 2, 2026