Architecture: Qwen 3.5 4B Dense Transformer with MTP Heads
Merging Technique: Tensor Grafting
Constituent Models:

• Model A: [object Object]

Methodology: Patched MTP layer layout for seamless GGUF execution.

> Key Upgrades Over Base Model:

• Edge Uncensored: Ideal for offline agents on laptops or small GPUs.
• MTP Speed: Generates text rapid-fire with minimal latency.

// Note: Arena Elo and head-to-head winrates updated continuously as evaluation telemetry processes.

> Recommended Settings

• Temperature: 0.2 - 0.7
• Top-P: 0.95
• Backend Engines: Compatible with llama.cpp, vLLM, Ollama, LM Studio, KoboldCPP

• [+] llama.cpp: Native support across all quantizations.
• [+] Ollama / LM Studio: Full GGUF compatibility.

Disclaimer: Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-MTP is provided for research and sovereign local deployment. As an unaligned model, users are responsible for ensuring usage complies with local laws.

Credits: Gratitude to original base model authors (HauhauCS/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive) and open-source AI community tools.