Architecture: Qwen 3.5 2B Dense Transformer with MTP Heads
Merging Technique: Tensor Grafting
Constituent Models:

• Model A: [object Object]

Methodology: MTP prediction head alignment and GGUF quantization optimization.

> Key Upgrades Over Base Model:

• Micro Footprint: Runs on phones, SBCs, and integrated graphics.
• Uncensored: Zero guardrails or content blocking.

// 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: Qwen3.5-2B-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/Qwen3.5-2B-Uncensored-HauhauCS-Aggressive) and open-source AI community tools.