Gemma-4-E4B-Uncensored-HauhauCS-Aggressive

> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat. Gemma 4 E4B-IT 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. 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. 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. All quants generated with importance matrix (imatrix) for optimal quality preservation on abliterated weights. 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. - 4B parameters - 42 layers, mixed sliding window (512) + full attention - 131K context - Natively multimodal (text, image, video, audio) - 18 KV shared layers for memory efficiency - Based on [google/gemma-4-e4b-it](https://huggingface.co/google/gemma-4-e4b-it) From the official Google Gemma 4 authors: - `temperature=1.0, top_p=0.95, top_k=64` **Important:** - Use `--jinja` flag with llama.cpp for proper chat template handling - Vision/audio support requires the `mmproj` file alongside the main GGUF Works with llama.cpp, LM Studio, Jan, koboldcpp, and other GGUF-compatible runtimes. llama-cli -m Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf \ --jinja -c 8192 -ngl 99 llama-cli -m Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf \ --mmproj mmproj-Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-f16.gguf \ --jinja -c 8192 -ngl 99 **\*** Gemma 4 didn't get as much manual testing time at longer context as my other releases. Google is now using techniques similar to NVIDIA's GenRM — generative reward models that act as internal critics — making (true) uncensoring an increasingly challenging field. I expect 99.999% of users won't hit edge cases, but the asterisk is there for honesty.