Docling Layout Heron (GGUF for LM-Kit)
A GGUF conversion of docling-project/docling-layout-heron, an RT-DETRv2 document layout detector. It finds the regions of a page with their bounds and confidence, across 17 classes: caption, footnote, formula, list item, page footer, page header, picture, section header, table, text, title, document index, code, checkbox (selected and unselected), form and key-value region.
This file runs on LM-Kit.NET's graph runner (architecture lmkit-layout-rtdetr), on the CPU or a GPU, in full F32 precision. It is not a llama.cpp language model.
| File | Precision | Size | SHA-256 |
|---|---|---|---|
docling-layout-heron.gguf | F32 | 168,456,096 bytes | 4c3ba02bb6697e91e738202c7f040c7535b51829ac93a261062c6618e3fd7ba8 |
Input: 640 x 640 RGB. Parameters: 42.1M. Converter revision 1, from the upstream weights with SHA-256 59c81a3a2923042d85034ffc487f8f47e4854117e879aef89b2b9f728fb4922a.
Usage with LM-Kit.NET
using LMKit.Model;
LM layoutModel = LM.LoadFromModelID("docling-layout-heron");
// layoutModel.HasLayoutDetection == true
License and attribution
Apache-2.0, as the upstream model. Credit goes to the Docling project. If you use this model, please cite the upstream works:
- Livathinos et al., "Advanced Layout Analysis Models for Docling", 2025, arXiv:2509.11720.
- Deep Search Team, "Docling Technical Report", 2024, arXiv:2408.09869.