BinSaqban/Saif-Kernel-7B-GGUF overview
Saif Kernel 7B 🗡️ Part of the SAIF سيف expert suite — Arabic named security AI models. File | File | Size | Format | | | | | | Saif Kernel 7B v0.5 Q4 K M.gguf…
Runs locally from ~4.36 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Saif-Kernel-7B-v0.5-Q4_K_M.gguf | GGUF | Q4_K_M | 4.36 GB | Download |
Model Details
Model README
---
language:
- en
- ar
tags:
- cybersecurity
- qwen2.5
- gguf
- saif
license: apache-2.0
base_model: BinSaqban/Averroes-Q-Instruct
---
Saif-Kernel-7B 🗡️
Part of the SAIF (سيف) expert suite — Arabic-named security AI models.
File
| File | Size | Format |
|------|------|--------|
| Saif-Kernel-7B-v0.5-Q4_K_M.gguf | ~4.36 GB | Q4_K_M (llama.cpp compatible) |
Usage
Ollama
# Download and create
curl -L -o Saif-Kernel-7B-Q4.gguf "https://huggingface.co/BinSaqban/Saif-Kernel-7B-GGUF/resolve/main/Saif-Kernel-7B-v0.5-Q4_K_M.gguf"
# Create Modelfile
cat > Modelfile << 'EOF'
FROM Saif-Kernel-7B-Q4.gguf
PARAMETER temperature 0.3
PARAMETER num_ctx 4096
SYSTEM "You are Saif, a cybersecurity analysis assistant."
EOF
ollama create saif-kernel -f Modelfile
ollama run saif-kernel
llama.cpp / LM Studio
Just open the .gguf file directly — it's a standard Q4_K_M quantization.
Hardware Requirements
| RAM | Performance |
|:---:|:----------:|
| 8 GB | ✅ Works with num_ctx 2048, may use swap |
| 16 GB | ✅ Full speed, num_ctx 8192 |
| 32 GB+ | ✅ Max context |
About SAIF Suite
| Model | Purpose |
|-------|---------|
| Saif-Kernel-7B | 🧠 Core reasoning & cybersecurity analysis |
| Saif-Browser-7B | 🌐 Browser automation & web interaction |
| Saif-Router-7B | 🔀 Query classification & routing |
Built on Averroes-Q-Instruct — Qwen2.5 fine-tuned for Arabic-English bilingual security applications.
Run BinSaqban/Saif-Kernel-7B-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models