MODEL PROFILE

LightOnOCR-3-1B-GGUF

prithivMLmods · LightOnOCR-3-1B-GGUF

> **LightOnOCR-3-1B**, developed by lightonai, is a highly performant, lightweight OCR and end-to-end document understanding model designed as a seamless, drop-in upgrade for existing LightOnOCR-2 deployments. Released under the Apache 2.0 license, it retains the proven LightOnOCR-2-1B architecture while introducing powerful new visual understanding capabilities, including a **grounding mode** (triggered by the `grounding` prompt) that outputs labeled bounding boxes for all document elements in normalized page coordinates, short descriptions for images, and structured HTML data extraction from charts. Alongside its default **transcription mode** that outputs full-page markdown text from an empty prompt, the model is highly versatile—effortlessly handling complex multi-column layouts, tables, receipts, forms, handwriting, and math notation—offering a ready-to-use, single-model alternative to traditional, multi-stage document processing pipelines when images are optimally preprocessed at 200 DPI.

Visual QAlicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/10/30 18:00:58
OVERVIEW

Model overview

> **LightOnOCR-3-1B**, developed by lightonai, is a highly performant, lightweight OCR and end-to-end document understanding model designed as a seamless, drop-in upgrade for existing LightOnOCR-2 deployments. Released under the Apache 2.0 license, it retains the proven LightOnOCR-2-1B architecture while introducing powerful new visual understanding capabilities, including a **grounding mode** (triggered by the `grounding` prompt) that outputs labeled bounding boxes for all document elements in normalized page coordinates, short descriptions for images, and structured HTML data extraction from charts. Alongside its default **transcription mode** that outputs full-page markdown text from an empty prompt, the model is highly versatile—effortlessly handling complex multi-column layouts, tables, receipts, forms, handwriting, and math notation—offering a ready-to-use, single-model alternative to traditional, multi-stage document processing pipelines when images are optimally preprocessed at 200 DPI.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。