How to use from
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 hozifa1/Faqih-R1-14B-GGUF:Q3_K_M
# Run inference directly in the terminal:
llama cli -hf hozifa1/Faqih-R1-14B-GGUF:Q3_K_M
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf hozifa1/Faqih-R1-14B-GGUF:Q3_K_M
# Run inference directly in the terminal:
llama cli -hf hozifa1/Faqih-R1-14B-GGUF:Q3_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 hozifa1/Faqih-R1-14B-GGUF:Q3_K_M
# Run inference directly in the terminal:
./llama-cli -hf hozifa1/Faqih-R1-14B-GGUF:Q3_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 hozifa1/Faqih-R1-14B-GGUF:Q3_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf hozifa1/Faqih-R1-14B-GGUF:Q3_K_M
Use Docker
docker model run hf.co/hozifa1/Faqih-R1-14B-GGUF:Q3_K_M
Quick Links

⚠️ Faqih-R1-14B (GGUF Alpha Research Preview)

النسخة المكممة التجريبية لأغراض البحث والتطوير

🛑 تنبيه هام / EXPERIMENTAL ONLY:

هذه النسخة مخصصة للاختبار والبحث التقني فقط على الحواسيب الشخصية، وغير صالحة للاستخدام الديني أو استخراج الفتاوى والأحكام الشرعية. يجب الرجوع للعلماء ودور الإفتاء المعتمدة في كافة المسائل الدينية.


📦 الملفات المتاحة للاختبار البحثي (Available GGUF Files)

File Quantization Size Purpose
faqih_r1_14b_q3_k_m.gguf Q3_K_M (3-bit) ~6.84 GB اختبارات السرعة وكفاءة التكميم محلياً عبر Ollama / LM Studio

🔗 المستودع الأساسي (Main Research Repository)

👉 hozifa1/Faqih-R1-14B-Islamic-AI

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GGUF
Model size
15B params
Architecture
qwen2
Hardware compatibility
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3-bit

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