Articles tagged "HauhauCS"

**Qwen3.6-35B-A3B-Uncensored / Abliterated** is a family of **community-produced derivatives of Alibaba's Qwen 3.6-35B-A3B** (a 35B MoE with 3B active parameters, 262K context, and hybrid attention) with **refusal behaviors surgically removed** ([HackerNoon overview](https://hackernoon.com/qwen36-35b-a3b-uncensored-a-35b-moe-model-with-262k-context) / [HauhauCS Aggressive](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive) / [huihui-ai abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated) / [wangzhang abliterated](https://huggingface.co/wangzhang/Qwen3.6-35B-A3B-abliterated) / [prithivMLmods Aggressive](https://huggingface.co/prithivMLmods/Qwen3.6-35B-A3B-Uncensored-Aggressive)). **Base model specs**: **35B total / 3B active parameters** (MoE, sparse experts), **40 layers**, **hybrid attention** in a **3:1 ratio** (linear + full softmax), **native 262K-token context**, and **native text / image / video** multimodal input. Alibaba positions it as a flagship of its open-weights strategy. **The abliteration technique**: **the refusal direction is removed with LoRA-based steering** on attention and MLP projections. It layers on **Expert-Granular Abliteration (EGA)** (abliterating per-expert `down_proj` slices per layer) and **MoE router suppression** (deactivating safety experts at the router stage) — techniques adapted for the MoE architecture. HauhauCS reports **0 refusals across 465 test prompts**. The philosophy: preserve 100% of the base Qwen 3.6-35B's capability, remove only refusal. **Available variants**: - **HauhauCS-Aggressive** ([HF](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive) / [Ollama](https://ollama.com/fredrezones55/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive)): the most aggressive refusal removal - **huihui-ai Huihui-Qwen3.6-abliterated** ([HF](https://huggingface.co/huihui-ai/Huihui-Qwen3.6-35B-A3B-abliterated) / [Ollama](https://ollama.com/huihui_ai/Qwen3.6-abliterated)): from the established huihui-ai team - **wangzhang abliterated** ([HF](https://huggingface.co/wangzhang/Qwen3.6-35B-A3B-abliterated)) - **prithivMLmods Uncensored-Aggressive** ([HF](https://huggingface.co/prithivMLmods/Qwen3.6-35B-A3B-Uncensored-Aggressive)) Each ships with **quantization variants** (GGUF Q4 / Q5 / Q8 / FP16), spanning consumer GPUs (RTX 5090 32GB) up to H100 servers. **Ethical and legal considerations**: abliterated models **can produce content that Qwen would normally refuse** (illegal drugs, offensive-security code, dangerous-material synthesis, etc.). Legitimate research, jailbreak-resistance testing, roleplay, and adult-content use cases exist, but **enterprise and commercial adoption carries meaningful legal risk**. Compliance with the EU AI Act (effective August 2026) and Japanese PPC guidance is also in question. **The responsibility sits entirely with the user**; Alibaba's Qwen team is not involved. **Positioning**: alongside our [Local LLM June 2026 Update](../columns/local-llm-landscape-2026-june-update), [Kimi K2.7-Code](../columns/kimi-k2-7-code-moonshot-ai-2026-06), and [Ornith-1.0](../columns/ornith-1-0-deepreinforce-agentic-coding-2026-06), this is a case study showing that **"safety-stripping techniques" scale into the MoE era** in the open-weights ecosystem.