Duplicate from HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive

Co-authored-by: HauHau <HauhauCS@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+tags:
+  - uncensored
+  - qwen3.6
+  - gguf
+  - vision
+  - multimodal
+language:
+  - en
+  - zh
+  - multilingual
+pipeline_tag: image-text-to-text
+base_model: Qwen/Qwen3.6-27B
+---
+
+# Qwen3.6-27B-Uncensored-HauhauCS-Aggressive
+
+> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.
+
+Qwen3.6-27B uncensored by HauhauCS. **0/465 Refusals.** \*
+
+> **Not sure which variant to pick?** 99.9%+ of users should use [**Balanced**](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Balanced) — same 0/465 refusal rate, more stable sampling, great for agentic coding / tool-use / reasoning / creative writing. Pick **Aggressive** only if you specifically want the model to skip its preamble on hardcore prompts.
+
+> **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 vs Balanced
+
+Both variants hit **0/465 refusals** on the benchmark. Same capability, same uncensoring outcome. The difference is *how* they deliver on edgy prompts:
+
+| | Balanced (recommended default) | Aggressive (this release) |
+|---|---|---|
+| Refusal rate | 0/465 | 0/465 |
+| On hardcore prompts | reasons out loud, occasional short disclaimer, then full answer | delivers the raw answer directly, no preamble |
+| Best for | agentic coding, tool-use, reasoning, creative writing/RP | users who specifically want the model to skip the "talk itself into it" step |
+
+If you don't have a strong reason to pick Aggressive, go [Balanced](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Balanced) — it's the better default.
+
+## Downloads
+
+| File | Quant | BPW | Size |
+|------|-------|-----|------|
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q8_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q8_K_P.gguf) | Q8_K_P | 10.06 | 32 GB |
+| — | Q8_0 | 8.5 | — |
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf) | Q6_K_P | 7.07 | 23 GB |
+| — | Q6_K | 6.6 | — |
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q5_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q5_K_P.gguf) | Q5_K_P | 6.47 | 21 GB |
+| — | Q5_K_M | 5.7 | — |
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf) | Q4_K_P | 5.4 | 18 GB |
+| — | Q4_K_M | 4.88 | — |
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf) | IQ4_XS | 4.32 | 15 GB |
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q3_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q3_K_P.gguf) | Q3_K_P | 4.39 | 14 GB |
+| — | Q3_K_M | 3.9 | — |
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-IQ3_M.gguf) | IQ3_M | 3.56 | 13 GB |
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-IQ3_XS.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-IQ3_XS.gguf) | IQ3_XS | 3.3 | 12 GB |
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q2_K_P.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q2_K_P.gguf) | Q2_K_P | 3.19 | 12 GB |
+| [Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-IQ2_M.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-IQ2_M.gguf) | IQ2_M | 2.69 | 10 GB |
+| [mmproj-Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-f16.gguf](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive/resolve/main/mmproj-Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-f16.gguf) | mmproj (f16) | — | 928 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
+
+- 27B dense parameters
+- 64 layers, layout: `16 × (3 × (Gated DeltaNet → FFN) → 1 × (Gated Attention → FFN))`
+- 48 linear attention layers + 16 full gated-attention layers
+- Gated DeltaNet: 48 V heads / 16 QK heads, head dim 128
+- Gated Attention: 24 Q heads / 4 KV heads, head dim 256, rope dim 64
+- Hidden dim 5120, FFN dim 17408, vocab 248320
+- 262K native context, extensible to ~1M with YaRN
+- Natively multimodal (text, image, video) — ships with mmproj
+- Based on [Qwen/Qwen3.6-27B](https://huggingface.co/Qwen/Qwen3.6-27B)
+
+## Recommended Settings
+
+From the official Qwen authors:
+
+**Thinking mode (default) — general tasks:**
+- `temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0`
+
+**Thinking mode — precise coding / WebDev:**
+- `temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0`
+
+**Non-thinking (Instruct) mode:**
+- `temperature=0.7, top_p=0.80, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0`
+
+**My personal preference:** I run `presence_penalty=1.5` even in thinking mode. Both values work, but with the official `0.0` it can think *a lot* more than it needs to. Bumping it to 1.5 reins that in without hurting output quality. Your call — try both.
+
+**Important:**
+- Keep at least 128K context to preserve thinking capabilities
+- Recommended output length: 32,768 tokens for most queries, up to 81,920 for competition-tier math/code
+- Use `--jinja` with llama.cpp for proper chat template handling
+- Vision support requires the `mmproj` file alongside the main GGUF
+- YaRN rope scaling is **static** in llama.cpp and can hurt short-context performance — only modify `rope_parameters` if you actually need >262K context
+
+**Prompting tip:** this model is a bit more sensitive to prompt clarity than Qwen3.5-35B-A3B. Spell out format, constraints, and scope — it'll stay on rails much better than with vague instructions.
+
+## Turning Thinking On/Off
+
+Qwen3.6 ships with thinking **on by default**. Turn it off when you want faster, shorter replies and don't need chain-of-thought.
+
+> **Heads up:** Qwen3.6 **does not support** the `/think` and `/no_think` soft switches that Qwen3 had. You must use the chat-template kwarg below.
+
+### LM Studio
+
+1. Load the model
+2. Right-side settings panel → **Model Settings** → **Prompt Template** (or **Chat Template Options**)
+3. Set `enable_thinking` to `false` in the template kwargs
+4. Some LM Studio versions expose this as a direct **"Reasoning"** / **"Thinking"** toggle — same effect
+
+### llama.cpp
+
+**llama-server — set as default for all requests:**
+```bash
+llama-server -m Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf \
+  --mmproj mmproj-Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-f16.gguf \
+  --jinja -c 131072 -ngl 99 \
+  --chat-template-kwargs '{"enable_thinking": false}'
+```
+
+**Per-request via the OpenAI-compatible API:**
+```json
+{
+  "model": "qwen3.6-27b",
+  "messages": [{"role": "user", "content": "..."}],
+  "chat_template_kwargs": {"enable_thinking": false}
+}
+```
+
+Python `openai` SDK:
+```python
+client.chat.completions.create(
+    model="qwen3.6-27b",
+    messages=[{"role": "user", "content": "..."}],
+    extra_body={"chat_template_kwargs": {"enable_thinking": False}},
+)
+```
+
+**Agent scenarios — keep reasoning in context across turns:**
+```json
+{"chat_template_kwargs": {"preserve_thinking": true}}
+```
+
+This retains the reasoning block in chat history. Useful for agents where reasoning consistency across tool-call loops matters.
+
+## Usage
+
+Works with llama.cpp, LM Studio, Jan, koboldcpp, and other GGUF-compatible runtimes.
+
+```bash
+llama-cli -m Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-Q4_K_P.gguf \
+  --mmproj mmproj-Qwen3.6-27B-Uncensored-HauhauCS-Aggressive-f16.gguf \
+  --jinja -c 131072 -ngl 99
+```
+
+## Other Models
+
+- [Balanced variant](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Balanced) (recommended default)
+- [HauhauCS on HuggingFace](https://huggingface.co/HauhauCS/models)
+
+---
+
+\* _Tested with both automated and manual refusal benchmarks — none found. If you hit one that's actually obstructive to your use case, [join the Discord](https://discord.gg/SZ5vacTXYf) and flag it so I can work on it in a future revision._

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