quantized_by: NiroshanDH
Lily-Cybersecurity-7B-Uncensored-GGUF
Description
This is a GGUF version of the Lily-Cybersecurity-7B-v0.2 model, which has been abliterated (uncensored) to remove refusal mechanisms.
It is designed specifically for CTF (Capture The Flag) competitions, penetration testing, and security research. Unlike the base model, this version will not refuse to generate offensive security code (e.g., exploits, malware simulation) when asked for educational or testing purposes.
⚠️ Warning: This model has no safety guardrails. It will generate destructive code if asked. Use responsibly and only in isolated, authorized environments (VM/Sandbox).
Technical Details
- Base Model: segolilylabs/Lily-Cybersecurity-7B-v0.2
- Technique: Refusal Vector Abliteration (Vector Arithmetic applied to model weights).
- Quantization: 4-bit (Q4_K_M) - Optimized for speed and low memory usage.
- Architecture: Mistral-7B-v0.1
How to Run (LM Studio / Llama.cpp)
Recommended Settings
- Context Window: 4096 (or higher if hardware permits)
- System Prompt: ```text You are a helpful assistant specialized in cybersecurity and programming.
Disclaimer
- This model is provided for educational and research purposes only. The creator assumes no liability for malicious use of this technology. By using this model, you agree to use it in compliance with all applicable laws and regulations.
- Downloads last month
- 358
Hardware compatibility
Log In to add your hardware
4-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for NiroshanDb23/Lily-Cybersecurity-7B-Uncensored-GGUF
Base model
mistralai/Mistral-7B-Instruct-v0.2 Finetuned
segolilylabs/Lily-Cybersecurity-7B-v0.2