🤖 Kernel Debug LLM (Local GGUF Agent)

A privacy-first, locally-hosted Large Language Model specialized in low-level systems engineering and Linux kernel forensics.

🎯 Why I Built This

When debugging custom Android kernels, reading massive dmesg and pstore crash logs is tedious. I wanted an offline AI assistant that understands C-code memory management, kernel panics, and Android init sequences without sending my private hardware logs to cloud APIs.

🛠️ Architecture

• Base Model: [e.g., Llama-3-8B / Mistral-7B]
• Training Environment: Google Colab (Free Tier / Pro)
• Dataset: Linux Kernel Mailing List (LKML) archives, StackOverflow kernel panic threads, and custom dmesg dumps.
• Quantization: GGUF format (4-bit / Q4_K_M) for fast local inference via llama.cpp or Ollama.

🚀 How to Run Locally

1. Download the .gguf model file from the [Releases] tab.
2. Run via Ollama:

   ollama run ./kernel-debug-q4.gguf