HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive
image-text-to-text model by HauhauCS
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Gemma 4 E4B-IT uncensored by HauhauCS. 0/465 Refusals\ 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. KP ("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 KP quant effectively bumps quality up by 1-2 quant levels at only 5-15% larger file size than the base quant. Fully compatible…
Read the full model card ↗ · Preview checked 2026-10-29T12:29:33.061Z
Inside the original model card — Document outline
- Gemma-4-E4B-Uncensored-HauhauCS-Aggressive
- About
- Aggressive Variant
- Downloads
- What are KP quants?
- Specs
- Recommended Settings
- Usage
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Documentation belongs to its respective authors. Reported project/model license: gemma. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
HauhauCS/Gemma-4-E4B-Uncensored-HauhauCS-Aggressive is a image-text-to-text model repository published by HauhauCS on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- Not reported
- Recent downloads (30 days)
- 866,240
- Cumulative likes
- 1,514
- Hugging Face trending score
- 37
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- gemma
- Access
- Not gated by Hugging Face
- Created
- 2026-04-02T22:29:19.000Z
- Last modified
- 2026-04-06T03:50:35.000Z
Compatibility and lineage
Reported languages: en, multilingual
Reported base models: google/gemma-4-e4b-it
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.