Image-to-Text
GGUF
Arabic
llama.cpp
qwen3_vl
vision-language
ocr
document-understanding
information-extraction
arabic
legal-documents
egypt
conversational
Instructions to use a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
Use Docker
docker model run hf.co/a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF with Ollama:
ollama run hf.co/a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF with Docker Model Runner:
docker model run hf.co/a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
- Lemonade
How to use a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Qwen3-VL-8B-Contracts-OCR-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "a-mo-yehia/Qwen3-VL-8B-Contracts-OCR-GGUF:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Create README.md
Browse files
README.md
ADDED
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---
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license: apache-2.0
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language:
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- ar
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base_model: Qwen/Qwen3-VL-8B
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pipeline_tag: image-to-text
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tags:
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- gguf
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- llama.cpp
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- qwen3_vl
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- vision-language
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- ocr
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- document-understanding
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- information-extraction
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- arabic
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- legal-documents
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- egypt
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---
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# Qwen3-VL-8B Contracts OCR (GGUF)
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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.
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> **The full Transformers version, model card, usage example, training details, and documentation here:**
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>
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> **https://huggingface.com/a-mo-yehia/Qwen3-VL-8B-Contracts-OCR**
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---
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# About
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These GGUF files are intended for inference with:
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- llama.cpp
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- LM Studio (when vision support is available)
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- llama-server
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- compatible GGUF runtimes
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The original fine-tuned model was trained using **Unsloth** on top of **Qwen3-VL-8B**.
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---
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# Available Quantizations
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| File | Description |
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|------|-------------|
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| `model_f16.gguf` | Full FP16 precision |
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| `model_q8_0.gguf` | 8-bit quantization |
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| `model_q4_k_m.gguf` | Recommended balance between quality and speed |
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| `mmproj_f16.gguf` | Vision projector (required for image inference) |
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---
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# Which Quantization Should I Use?
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| Quantization | Recommendation |
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|--------------|---------------|
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| Q4_K_M | Best overall choice for most users |
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| Q8_0 | Better quality with higher memory usage |
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| F16 | Maximum quality and accuracy |
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---
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# Requirements
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For vision inference you **must** load:
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- one GGUF model
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- `mmproj_f16.gguf`
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The vision projector is required for processing images.
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---
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# Model Purpose
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The model extracts structured information from scanned Egyptian company incorporation contracts, including:
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- Company name
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- Company type
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- Business activities
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- Company address
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- Capital information
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- Partners and shareholders
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- Contract articles
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- Tables (returned as Markdown)
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- Other legal fields
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The output is a structured JSON document.
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---
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# Language
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Arabic
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---
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# License
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Apache-2.0
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