datalab-to/surya-ocr-2-gguf
image-text-to-text model by datalab-to
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From the publisher
Model card & documentation
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Datalab State of the Art models for Document Intelligence Surya is a 650M param OCR model with these features: It works on a range of documents (see usage and benchmarks). Our managed platform runs both Surya, and variants of our highest accuracy model, Chandra. Get started with $5 in free credits — sign up (takes under 30 seconds) or try our free public playground. Surya is named for the Hindu sun god, who has universal vision. The Surya code is licensed under Apache 2.0. The model weights use a modified AI Pubs Open Rail-M license (free for research, personal use, and startups under $5M funding/revenue). For broader commercial licensing of the model weights, visit our pricing page here. Install with: Surya 2 runs layout, OCR, and table recognition through a single VLM served by vllm (GPU) or llama.cpp (CPU / Apple Silicon). The inference manager will spawn one for you…
Read the full model card ↗ · Preview checked 2026-10-30T14:41:58.244Z
Inside the original model card — Document outline
- Surya
- Try Datalab's Managed Platform
- Model Information
- Examples
- Commercial usage
- Installation
- Usage
- Interactive App
- OCR (text recognition)
- From python
- Text line detection
- From python
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Documentation belongs to its respective authors. Reported project/model license: openrail. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
datalab-to/surya-ocr-2-gguf is a image-text-to-text model repository published by datalab-to 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)
- 621,167
- Cumulative likes
- 22
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- openrail
- Access
- Not gated by Hugging Face
- Created
- 2026-05-14T03:26:00.000Z
- Last modified
- 2026-05-27T13:10:05.000Z
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 2026-10-22T06:46:02.745Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.