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QTuneVL1_5-3B
hanchaow/QTuneVL1_5-3B
QTuneVL1_5-3B is a image-text-to-text model from hanchaow. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
We are pleased to introduce QTuneVL1.5-3B, the latest addition to Reconova AI Lab's series of multimodal large language models. Built upon Qwen2.5-VL-3B, the model's capabilities have been further enhanced through RLV…
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At a glance
- Task
- Image-Text-to-Text
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen2_5_vl
- Access
- Public
- Created
- Jul 31, 2025
- Updated
- Sep 1, 2025
- SHA
- abc1dfea
Base models
Model card
From the Hugging Face model README
QTuneVL1.5-3B developed by the Reconova AI Lab (Leader: Jia Baozhi; Team members: Wang Hanchao, Chen Mingmu, Lin Bingqi, et al.) && BDAA-Lab
Introduction
We are pleased to introduce QTuneVL1.5-3B, the latest addition to Reconova AI Lab's series of multimodal large language models. Built upon Qwen2.5-VL-3B, the model's capabilities have been further enhanced through RLVR training using the latest GSPO algorithm.
The model is mainly trained on reasoning datasets, but still maintains proficiency in various general tasks, achieving an overall performance superior to the base model.
Architecture:
- ViT: QwenViT
- Projector: 2-layer MLP
- LLM: Qwen2.5-3B
Evaluation
We evaluate on eight benchmarks specified in the OpenCompass leaderboard using VLMEvalKit, including:
MMBench_TEST_EN/CN_V11, MMStar, MMMU_VAL, MathVista_MINI, HallusionBench, AI2D_TEST, OCRBench, MMVet. The results are shown below:
| Avg | MMBench v1.1 | MMStar | MMMU | MathVista | HallusionBench | AI2D | OCRBench | MMVet | |
|---|---|---|---|---|---|---|---|---|---|
| Qwen2.5-VL-3B | 64.8 | 77.1 | 55.3 | 51.2 | 60.1 | 48.6 | 81.5 | 83.2 | 61.4 |
| QTuneVL1-3B | 66.1(+1.3) | 77.3(+0.2) | 57.3(+2.0) | 53.6(+2.4) | 63.7(+3.6) | 49.4(+0.8) | 81.3 | 83.8(0.6) | 62.5(+1.1) |
The reported results are based on our local implementations and may slightly differ from the official ones.
Copyright
We welcome suggestions to help us improve the QTuneVL. For any query, please contact HanChao Wang: [email protected]. If you find something interesting, please also feel free to share with us through email or open an issue.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen2_5_vl
- License
- apache-2.0
- Languages
- multilingual
- Created
- Jul 31, 2025
- Updated
- Sep 1, 2025