zyjyz/RolmOCR
image-text-to-text model by zyjyz
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Model card & documentation
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Earlier this year, the Allen Institute for AI released olmOCR, an open-source tool that performs document OCR using the Qwen2-VL-7B vision language model (VLM). We were excited to see a high-quality, openly available approach to parsing PDFs and other complex documents — and curious to explore what else might be possible using newer foundation models and some lightweight optimizations. The result is RolmOCR, a drop-in alternative to olmOCR that’s faster, uses less memory, and still performs…
Read the full model card ↗ · Preview checked 2026-11-11T09:38:57.223Z
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Model overview
zyjyz/RolmOCR is a image-text-to-text model repository published by zyjyz 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)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 8,292,166,656
- Architecture
- Qwen2_5_VLForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-11T06:32:17.000Z
- Last modified
- 2026-11-11T06:32:17.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen2.5-VL-7B-Instruct
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 2026-11-11T06:56:43.242Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.