State-of-the-art conversational quality with significantly enhanced speculative decoding speeds via grafted MTP heads on an aggressively uncensored base.
Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-MTP is a custom-merged, high-performance variant built on top of the HauhauCS Aggressive Base and Qwen 3.6 27B architecture.
Why it is needed: Most open-source models suffer from over-alignment or struggle with generation loop hang bugs in local environments. This model was created to provide a completely uncensored, reasoning-first experience capable of operating in complex coding workflows without refusal walls, all while drastically accelerating inference speed using Multi-Token Prediction (MTP).
> From the Parent Repository
"A highly volatile, purely reasoning-driven intelligence. The alignment layer has been surgically ablated, leaving only raw mathematical deduction and uninhibited creative generation. Use with extreme caution."
Methodology: We utilized a surgical tensor merge to fuse MTP prediction heads directly into the unablated base weights. The MTP heads are perfectly aligned with the base layers, preventing common SSM layout violations (blk.N.nextn.* tensor mismatches).
Uncensored Freedom: The aggressive base model removes artificial guardrails, making it ideal for unfiltered creative writing, unrestricted coding tasks, and robust roleplay.
MTP Integration: Enables the model to predict multiple future tokens simultaneously, drastically reducing time-to-first-token (TTFT) and accelerating continuous generation on compatible local backends.
BOS/EOG Token Patches: The tokenizer has been hard-patched to map bos_token_id and special_eog_ids. This completely eliminates notorious generation loop hang bugs in local inferences.
Disclaimer: Qwen3.6-27B-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/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive) and open-source AI community tools.
