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DeepSeek-R1-Distill-Qwen-32B

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qwen3.6
Mixture of Experts
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Duplicate from HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

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  3. README.md +108 -0
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - uncensored
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+ - qwen3.6
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+ - moe
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+ - gguf
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+ - vision
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+ - multimodal
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+ language:
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+ - en
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+ - zh
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+ - multilingual
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+ pipeline_tag: image-text-to-text
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+ base_model: Qwen/Qwen3.6-35B-A3B
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+ ---
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+
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+ # Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
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+
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+ > **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.
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+
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+ Qwen3.6-35B-A3B uncensored by HauhauCS. **0/465 Refusals.**
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+
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+ > **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.
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+
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+ ## About
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+
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+ No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
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+
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+ These are meant to be the best lossless uncensored models out there.
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+
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+ ## Aggressive Variant
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+
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+ 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.
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+
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+ For a more conservative uncensor that keeps some safety guardrails, check the Balanced variant when it's available.
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+
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+ ## Downloads
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+
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+ | File | Quant | BPW | Size |
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+ |------|-------|-----|------|
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+ | [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 |
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+ | — | Q8_0 | 8.5 | — |
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+ | [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 |
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+ | — | Q6_K | 6.6 | — |
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+ | [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 |
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+ | — | Q5_K_M | 5.7 | — |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | — | Q3_K_M | 3.9 | — |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+ | [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 |
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+
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+ All quants generated with importance matrix (imatrix) for optimal quality preservation on abliterated weights.
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+
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+ ## What are K_P quants?
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+
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+ 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.
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+
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+ 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.
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+
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+ **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.
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+
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+ ## Specs
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+
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+ - 35B total parameters, ~3B active per forward pass (MoE)
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+ - 256 experts, 8 routed per token
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+ - Hybrid architecture: linear attention + full softmax attention (3:1 ratio)
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+ - 40 layers
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+ - 262K native context
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+ - Natively multimodal (text, image, video)
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+ - Based on [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B)
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+
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+ ## Recommended Settings
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+
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+ From the official Qwen authors:
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+
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+ **Thinking mode (default):**
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+ - General: `temperature=1.0, top_p=0.95, top_k=20, min_p=0, presence_penalty=1.5`
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+ - Coding/precise tasks: `temperature=0.6, top_p=0.95, top_k=20, min_p=0, presence_penalty=0`
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+
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+ **Non-thinking mode:**
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+ - General: `temperature=0.7, top_p=0.8, top_k=20, min_p=0, presence_penalty=1.5`
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+ - Reasoning tasks: `temperature=1.0, top_p=1.0, top_k=40, min_p=0, presence_penalty=2.0`
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+
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+ **Important:**
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+ - Keep at least 128K context to preserve thinking capabilities
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+ - Use `--jinja` flag with llama.cpp for proper chat template handling
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+ - Vision support requires the `mmproj` file alongside the main GGUF
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+
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+ ## Usage
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+
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+ Works with llama.cpp, LM Studio, Jan, koboldcpp, and other GGUF-compatible runtimes.
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+
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+ ```bash
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+ llama-cli -m Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf \
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+ --mmproj mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf \
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+ --jinja -c 131072 -ngl 99
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+ ```
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+
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+ ## Other Models
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+
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+ - [HauhauCS on HuggingFace](https://huggingface.co/HauhauCS/models)