---
license: apache-2.0
datasets:
- lmms-lab/LLaVA-OneVision-Data
language:
- en
- zh
base_model:
- Qwen/Qwen2.5-1.5B-Instruct
pipeline_tag: image-text-to-text
library_name: transformers
---

# Introduction

We are excited to introduce **HawkVL**, a series of multimodal large language models (MLLMs) featuring light-weight and efficiency.

**Architecture**:
- ViT: Qwen-ViT
- Projector: 2-layer MLP with pixel unshuffle
- LLM: Qwen2.5-1.5B


### Evaluation

We evaluate on eight benchmarks specified in the [OpenCompass](https://rank.opencompass.org.cn/leaderboard-multimodal) leaderboard using [VLMEvalKit](https://github.com/open-compass/VLMEvalKit), including:

`MMBench_TEST_EN/CN_V11, MMStar, MMMU_DEV_VAL, MathVista_MINI, HallusionBench, AI2D_TEST, OCRBench, MMVet`

The results are as follows:

| Benchmark        | HawkVL-2B |
|------------------|-----------|
| MMBench-TEST-avg | 64.9      |
| MMStar           | 48.2      |
| MMMU-VAL         | 43.9      |
| MathVista_MINI   | 44.1      |
| HallusionBench   | 58.5      |
| AI2D_TEST        | 67.4      |
| OCRBench         | 74.9      |
| MMVet            | 36.6      |
| Avg              | 54.8      |




## License Agreement

All of our open-source models are licensed under the Apache-2.0 license.