Qwen3.5-4B Model Compression
Model Description
This repository contains a compressed version of Qwen3.5-4B, developed as part of the CS6013: Efficient AI course project. The objective is to reduce model memory while preserving performance on mathematical reasoning tasks using model compression techniques.
- Base model: Qwen/Qwen3.5-4B
- Developed by: Rudrapratap Chinhara
- Course: CS6013 – Efficient AI
- Affliation: IIT Bombay
- Language: English
- License: CC BY-NC 4.0
Compression Method
This model was obtained by applying:
- Quantization
- Pruning (if applicable)
- Other compression techniques (if applicable)
Evaluation
| Metric | Value |
|---|---|
| Model Size | XX GB |
| Compression Ratio | X.XX× |
| Accuracy | XX.XX% |
Citation
If you use this repository, please cite the original Qwen model:
@misc{qwen3.5,
title = {{Qwen3.5}: Towards Native Multimodal Agents},
author = {{Qwen Team}},
month = {February},
year = {2026},
url = {https://qwen.ai/blog?id=qwen3.5}
}
Acknowledgements
This work is based on the Qwen3.5-4B model released by the Qwen Team and was developed for the CS6013 Efficient AI course project.