---

license: gemma

tags:

- uncensored

- gemma4

- abliterated

- gguf

- vision

- multimodal

- audio

language:

- en

- multilingual

pipeline_tag: image-text-to-text

base_model: google/gemma-4-e4b-it

---

Gemma-4-E4B-Uncensored-HauhauCS-Aggressive -> Genesis

> ⚡ Why Genesis project exists? During training, ALL models don't just learn knowledge - they also accumulate random noise in their tensors. This noise builds up and creates something I call the Noise Gate - a fundamental barrier that stops LLM models from learning further and makes them unstable, verbose, and prone to hallucinations. My approach reduces this noise. It repairs the signal without touching the learned knowledge and gradient. The result is a model that consistent in performance, context clarity and following instructions, because it's no longer fighting its own internal chaos.

This is Gemma-4-E4B-Uncensored-HauhauCS-Aggressive model. made by HauhauCS

upgraded via Genesis training noise distillation algorythm made by me.

Vision encoder is not included because it's unfixable and broken too much. Here stats.txt

> Join the Discord for updates, roadmaps, projects, or just to chat.

> 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.

Specs

• 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 HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive

Recommended Settings

From the official Google Gemma 4 authors:

• temperature=1.0, top_p=0.95, min_p=0.05, 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

Usage

Works with llama.cpp, LM Studio, Jan, koboldcpp, and other GGUF-compatible runtimes.