--- license: apache-2.0 tags: - uncensored - qwen3.6 - moe - gguf - vision - multimodal language: - en - zh - multilingual pipeline_tag: image-text-to-text base_model: Qwen/Qwen3.6-35B-A3B --- # Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive > **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat. Qwen3.6-35B-A3B uncensored by HauhauCS. **0/465 Refusals.** > **HuggingFace's "Hardware Compatibility" widget doesn't recognize K_P quants** — it may show fewer files than actually exist. Click **"View +X variants"** or go to **Files and versions** to see all available downloads. ## About No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals. These are meant to be the best lossless uncensored models out there. ## Aggressive Variant Stronger uncensoring — model is fully unlocked and won't refuse prompts. May occasionally append short disclaimers (baked into base model training, not refusals) but full content is always generated. For a more conservative uncensor that keeps some safety guardrails, check the Balanced variant when it's available. ## Downloads | File | Quant | BPW | Size | |------|-------|-----|------| | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q8_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q8_K_P.gguf) | Q8_K_P | 10.06 | 44 GB | | — | Q8_0 | 8.5 | — | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf) | Q6_K_P | 7.07 | 31 GB | | — | Q6_K | 6.6 | — | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q5_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q5_K_P.gguf) | Q5_K_P | 6.47 | 28 GB | | — | Q5_K_M | 5.7 | — | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf) | Q4_K_P | 5.40 | 23 GB | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf) | Q4_K_M | 4.88 | 21 GB | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ4_NL.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ4_NL.gguf) | IQ4_NL | 4.56 | 20 GB | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf) | IQ4_XS | 4.32 | 19 GB | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q3_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q3_K_P.gguf) | Q3_K_P | 4.39 | 19 GB | | — | Q3_K_M | 3.9 | — | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf) | IQ3_M | 3.56 | 15 GB | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q2_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q2_K_P.gguf) | Q2_K_P | 3.46 | 15 GB | | [Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ2_M.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ2_M.gguf) | IQ2_M | 2.69 | 11 GB | | [mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf](https://huggingface.co/HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf) | mmproj (f16) | — | 899 MB | All quants generated with importance matrix (imatrix) for optimal quality preservation on abliterated weights. ## What are K_P quants? K_P ("Perfect") quants are HauhauCS custom quantizations that use model-specific analysis to selectively preserve quality where it matters most. Each model gets its own optimized quantization profile. A K_P quant effectively bumps quality up by 1-2 quant levels at only ~5-15% larger file size than the base quant. Fully compatible with llama.cpp, LM Studio, and any GGUF-compatible runtime — no special builds needed. **Note:** K_P quants may show as "?" in LM Studio's quant column. This is a display issue only — the model loads and runs fine. ## Specs - 35B total parameters, ~3B active per forward pass (MoE) - 256 experts, 8 routed per token - Hybrid architecture: linear attention + full softmax attention (3:1 ratio) - 40 layers - 262K native context - Natively multimodal (text, image, video) - Based on [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) ## Recommended Settings From the official Qwen authors: **Thinking mode (default):** - General: `temperature=1.0, top_p=0.95, top_k=20, min_p=0, presence_penalty=1.5` - Coding/precise tasks: `temperature=0.6, top_p=0.95, top_k=20, min_p=0, presence_penalty=0` **Non-thinking mode:** - General: `temperature=0.7, top_p=0.8, top_k=20, min_p=0, presence_penalty=1.5` - Reasoning tasks: `temperature=1.0, top_p=1.0, top_k=40, min_p=0, presence_penalty=2.0` **Important:** - Keep at least 128K context to preserve thinking capabilities - Use `--jinja` flag with llama.cpp for proper chat template handling - Vision support requires the `mmproj` file alongside the main GGUF ## Usage Works with llama.cpp, LM Studio, Jan, koboldcpp, and other GGUF-compatible runtimes. ```bash llama-cli -m Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf \ --mmproj mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf \ --jinja -c 131072 -ngl 99 ``` ## Other Models - [HauhauCS on HuggingFace](https://huggingface.co/HauhauCS/models)