Garnet-OCR-7B-Post-0422-GGUF

The Garnet-OCR-7B-0422 model is a refined and highly optimized evolution of Gliese-OCR-7B-Post2.0-final, built upon the Qwen2.5-VL architecture. This release focuses on high-precision mathematical formula extraction, structured markdown generation, and accurate table reconstruction, making it especially effective for technical and scientific documents. Fine-tuned with enhanced datasets targeting mathematical notation, document structure, and layout fidelity, the model delivers superior performance across complex documents including research papers, scanned PDFs, handwritten equations, structured forms, and analytical reports.

Model Files

File Name Quant Type File Size File Link
Garnet-OCR-7B-0422.BF16.gguf BF16 15.2 GB Download
Garnet-OCR-7B-0422.F16.gguf F16 15.2 GB Download
Garnet-OCR-7B-0422.F32.gguf F32 30.5 GB Download
Garnet-OCR-7B-0422.Q8_0.gguf Q8_0 8.1 GB Download
Garnet-OCR-7B-0422.mmproj-bf16.gguf mmproj-bf16 1.36 GB Download
Garnet-OCR-7B-0422.mmproj-f16.gguf mmproj-f16 1.36 GB Download
Garnet-OCR-7B-0422.mmproj-f32.gguf mmproj-f32 2.71 GB Download
Garnet-OCR-7B-0422.mmproj-q8_0.gguf mmproj-q8_0 856 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):

image.png

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GGUF
Model size
8B params
Architecture
qwen2vl
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