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README.md

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+---
+license: apache-2.0
+tags:
+  - uncensored
+  - qwen3.5
+  - moe
+  - gguf
+  - vision
+  - multimodal
+language:
+  - en
+  - zh
+  - multilingual
+pipeline_tag: image-text-to-text
+base_model: Qwen/Qwen3.5-35B-A3B
+---
+
+# Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive
+
+Qwen3.5-35B-A3B uncensored by HauhauCS. **0/465 refusals.**
+
+## 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 | Size |
+|------|-------|------|
+| [Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-BF16.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-BF16.gguf) | BF16 | 65 GB |
+| [Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q8_0.gguf) | Q8_0 | 35 GB |
+| [Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q6_K.gguf) | Q6_K | 27 GB |
+| [Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q5_K_M.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q5_K_M.gguf) | Q5_K_M | 24 GB |
+| [Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf) | Q4_K_M | 20 GB |
+| [Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf) | IQ4_XS | 18 GB |
+| [Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q3_K_M.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q3_K_M.gguf) | Q3_K_M | 16 GB |
+| [Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf) | IQ3_M | 15 GB |
+| [Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ2_M.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-IQ2_M.gguf) | IQ2_M | 11 GB |
+| [mmproj-Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf](https://huggingface.co/HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive/resolve/main/mmproj-Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf) | mmproj (f16) | 858 MB |
+
+All quants generated with importance matrix (imatrix) for optimal quality preservation on abliterated weights.
+
+## Specs
+
+- 35B total parameters, ~3B active per forward pass (MoE)
+- 256 experts, 8 routed + 1 shared per token
+- Hybrid architecture: Gated DeltaNet linear attention + full softmax attention (3:1 ratio)
+- 40 layers, pattern: 10 x (3 x DeltaNet-MoE + 1 x Attention-MoE)
+- 262K native context (extendable to 1M with YaRN)
+- Natively multimodal (text, image, video)
+- Multi-token prediction (MTP) support
+- 248K vocabulary, 201 languages
+- Based on [Qwen/Qwen3.5-35B-A3B](https://huggingface.co/Qwen/Qwen3.5-35B-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
+# Text only
+llama-cli -m Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf \
+  --jinja -c 131072 -ngl 99
+
+# With vision
+llama-cli -m Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf \
+  --mmproj mmproj-Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf \
+  --jinja -c 131072 -ngl 99
+```
+
+**Note:** LM Studio may show `256x2.6B` in the params column instead of `35B-A3B` — this is a cosmetic metadata quirk, the model runs correctly.
+
+## Other Formats
+
+- GGUF (this repo)
+- GPTQ — coming soon
+
+## Other Models
+
+- [Qwen3.5-27B-Uncensored-HauhauCS-Aggressive](https://huggingface.co/HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive)