| license: apache-2.0 | |
| base_model: | |
| - Qwen/Qwen3.5-9B | |
| tags: | |
| - uncensored | |
| - qwen3.5 | |
| - qwen | |
| - gguf | |
| language: | |
| - en | |
| - zh | |
| - multilingual | |
| # Qwen3.5-9B-Uncensored-HauhauCS-Aggressive | |
| > **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat. | |
| Qwen3.5-9B uncensored by HauhauCS. | |
| ## About | |
| **0/465 refusals.** Fully uncensored with zero capability loss. | |
| 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 with more thorough refusal removal. If this variant is too loose for your use case, a Balanced variant may follow. | |
| **Note:** The model is fully unlocked and will not refuse prompts. However, it may occasionally append a short disclaimer at the end of a response (e.g. "This is general information, not legal advice..."). This is baked into the base model's training and not a refusal — the actual content is still generated in full. | |
| ## Downloads | |
| | File | Quant | Size | | |
| |------|-------|------| | |
| | Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf | BF16 | 17 GB | | |
| | Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf | Q8_0 | 8.9 GB | | |
| | Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf | Q6_K | 6.9 GB | | |
| | Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf | Q4_K_M | 5.3 GB | | |
| | mmproj-Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-BF16.gguf | Vision encoder | 880 MB | | |
| **Vision support:** This model is natively multimodal. The `mmproj` file is the vision encoder — you need it alongside the main GGUF to use image/video inputs. Load both files in llama.cpp, LM Studio, or any compatible runtime. | |
| ## Specs | |
| - 9B dense parameters, 32 layers | |
| - Hybrid architecture: Gated DeltaNet linear attention + full softmax attention (3:1 ratio) | |
| - 262K native context (extendable to 1M with YaRN) | |
| - Natively multimodal (text, image, video) | |
| - Multi-token prediction (MTP) support | |
| - 248K vocabulary, 201 languages | |
| - Based on [Qwen3.5-9B](https://huggingface.co/Qwen/Qwen3.5-9B) | |
| ## Recommended Settings | |
| From the official Qwen authors: | |
| **Thinking mode (default):** | |
| - `temperature=0.6`, `top_p=0.95`, `top_k=20`, `min_p=0` | |
| **Non-thinking mode:** | |
| - `temperature=0.7`, `top_p=0.8`, `top_k=20`, `min_p=0` | |
| **Important:** | |
| - Maintain at least 128K context to preserve thinking capabilities | |
| - For production/high-throughput: use vLLM, SGLang, or KTransformers | |
| **Note:** This is a brand new architecture (released 2026-03-02). llama.cpp support landed very recently — make sure you're on a recent build. Works with llama.cpp, LM Studio, Jan, koboldcpp, etc. | |
| Also check out the [4B variant](https://huggingface.co/HauhauCS/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive) and all releases at [HauhauCS](https://huggingface.co/HauhauCS). | |
| ## Usage | |
| Works with llama.cpp, LM Studio, Jan, koboldcpp, etc. | |
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