lightonai/LightOnOCR-3-4B
image-text-to-text model by lightonai
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Model card & documentation
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[](https://lighton.ai) [](https://www.linkedin.com/company/lighton/) [](https://x.com/LightOnIO) 📄 Paper | 📝 Blog | 🚀 Demo | 💻 GitHub | 🤗 LightOnOCR-2-1B Best OCR model. LightOnOCR-3-4B is the largest and most accurate model of the LightOnOCR-3 family, LightOn's new generation of lightweight end-to-end OCR models with layout and visual understanding. We recommend it for most OCR tasks. LightOnOCR-3 is a new family of highly performant lightweight OCR models. Compared to the previous generation, they bring significant improvements in speed and transcription quality and introduce new visual understanding features: the models now output bounding box coordinates with labels for all visual elements of a document, short descriptions of images, and the numerical data of figures and charts. With these capabilities, they offer a ready-to-use, easier-to-maintain alternative to complex document understanding pipelines. The models come in three sizes. The 1B keeps the LightOnOCR-2-1B architecture, while the 0.8B and 4B adopt the Qwen3.5 vision-language architecture, which simplifies integration…
Read the full model card ↗ · Preview checked 2026-10-30T16:54:56.021Z
Inside the original model card — Document outline
- LightOnOCR-3-4B
- About LightOnOCR-3
- Highlights
- Model Variants
- Prompt Modes
- Usage with Transformers
- Usage with vLLM
- Rendering and Preprocessing Tips
- License
- Citation
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
lightonai/LightOnOCR-3-4B is a image-text-to-text model repository published by lightonai on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 9,012
- Cumulative likes
- 95
- Hugging Face trending score
- 76
- Reported safetensors parameters
- 4,539,265,536
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-06T16:12:40.000Z
- Last modified
- 2026-10-09T10:27:59.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-16T06:41:23.932Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.