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a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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Model Card

Qwen3-VL-8B Contracts OCR (GGUF)

This repository provides GGUF quantizations of Qwen3-VL-8B-Contracts-OCR, a fine-tuned vision-language model specialized in extracting structured information from scanned Egyptian company incorporation contracts written in Arabic.

The full Transformers version, model card, usage example, training details, and documentation here: 👉 [Qwen3-VL-8B-Contracts-OCR](https://huggingface.com/a-mo-yehia/Qwen3-VL-8B-Contracts-OCR)

About

These GGUF files are intended for inference with:

—llama.cpp
—LM Studio (when vision support is available)
—llama-server
—compatible GGUF runtimes

The original fine-tuned model was trained using Unsloth on top of Qwen3-VL-8B.

Available Quantizations

File	Description
`model_f16.gguf`	Full FP16 precision
`model_q8_0.gguf`	8-bit quantization
`model_q4_k_m.gguf`	Recommended balance between quality and speed
`mmproj_f16.gguf`	Vision projector (required for image inference)

Which Quantization Should I Use?

Quantization	Recommendation
Q4KM	Best overall choice for most users
Q8_0	Better quality with higher memory usage
F16	Maximum quality and accuracy

Requirements

For vision inference you must load:

—one GGUF model
—mmproj_f16.gguf

The vision projector is required for processing images.

Model Purpose

The model extracts structured information from scanned Egyptian company incorporation contracts, including:

—Company name
—Company type
—Business activities
—Company address
—Capital information
—Partners and shareholders
—Contract articles
—Tables (returned as Markdown)
—Other legal fields

The output is a structured JSON document.

Language

Arabic

License

Apache-2.0