LightOnOCR-1B-1025-AIO-GGUF

The LightOnOCR-1B-1025 from lightonai is a compact 1B-parameter end-to-end vision-language model optimized for Optical Character Recognition (OCR) and document understanding, combining a Pixtral-based Vision Transformer encoder with a lightweight Qwen3-based text decoder distilled from high-quality VLMs, achieving state-of-the-art accuracy in its class on Olmo-Bench (76.1% overall, with 81.4% on ArXiv papers, 71.6% on old scans, and strong math/table handling) while processing 5.71 pages/second on a single H100 GPU—5× faster than dots.ocr, 2× faster than PaddleOCR-VL-0.9B, and 1.73× faster than DeepSeekOCR at under $0.01 per 1,000 pages. Fully differentiable without external OCR pipelines, it excels at layout-aware extraction from high-resolution PDFs (rendered at ~1540px longest dimension), handling tables, receipts, forms, multi-column layouts, math notation, and multilingual text (Latin-dominant) under Apache 2.0 license, with compact 32k/16k vocab variants for European languages and vLLM/Transformers support for efficient inference and LoRA fine-tuning.

LightOnOCR-1B-1025 [GGUF]

File Name	Quant Type	File Size	File Link
LightOnOCR-1B-1025.BF16.gguf	BF16	1.51 GB	Download
LightOnOCR-1B-1025.F16.gguf	F16	1.51 GB	Download
LightOnOCR-1B-1025.F32.gguf	F32	3.01 GB	Download
LightOnOCR-1B-1025.Q8_0.gguf	Q8_0	805 MB	Download
LightOnOCR-1B-1025.mmproj-bf16.gguf	mmproj-bf16	821 MB	Download
LightOnOCR-1B-1025.mmproj-f16.gguf	mmproj-f16	819 MB	Download
LightOnOCR-1B-1025.mmproj-f32.gguf	mmproj-f32	1.64 GB	Download
LightOnOCR-1B-1025.mmproj-q8_0.gguf	mmproj-q8_0	437 MB	Download

Quants Usage

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):