HauhauCS / Model details
Gemma-4-E2B-Uncensored-HauhauCS-Aggressive
HauhauCS/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive
About this model
HauhauCS/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive is HauhauCS's uncensored derivative of google/gemma-4-e2b-it, distributed as GGUF weights under the gemma license. The creator describes the change as abliteration that removes refusals while leaving datasets and capabilities unchanged, and reports 0 out of 465 refusals in their testing. This aggressive variant is said to be fully unlocked and to generate full content even when it occasionally appends short disclaimers. The repository includes multiple K_P and IQ quantizations plus an f16 mmproj file for multimodal use. According to the model card, the model is natively multimodal for text, image, video, and audio, and the creator recommends using the --jinja flag with llama.cpp.
Description sources
Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.
Size and formats
- Base model
- google/gemma-4-e2b-it
- Parameters
- Unknown
- Main repository formats
- GGUF
- License tag
- gemma
- Languages
- en, multilingual
- Last updated
- 2026-04-06 · 03:51:20.000 UTC
What changed
Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.
- abliteratedsource tag:
abliterated
- uncensoredsource tag:
uncensored
- uncensoredmodel name:
Gemma-4-E2B-Uncensored-HauhauCS-Aggressive
Family evidence
These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.
- Gemma: Base model: google/gemma-4-e2b-it
Available versions
Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.
- Main repository files ↗GGUF
- No other explicitly linked versions recorded.
Customize or build on this model
Listed from public GitHub data, not tested by us. Read the code and license before you run anything.
Tools to customize it further
Make a smaller download (quantize)
- llama.cpp ↗ ★ 132,124
Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.
Learn the techniques
- LLM Course ↗ ★ 84,633
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.
Source provenance
- Downloads
- 85,846
- Likes
- 358
- Metadata checked
- 2026-10-24 · 04:11:48 UTC
- First seen in index
- 2026-10-24 · 04:11:48 UTC
- Source revision
- da8593c3e407afcd3e7da94ff2d69d77e2a28a48
Source-card excerpt
Source model card excerpt: Gemma-4-E2B-Uncensored-HauhauCS-Aggressive Join the Discord for updates, roadmaps, projects, or just to chat. Gemma 4 E2B-IT uncensored by HauhauCS. 0/465 Refusals\ \ \ HuggingFace's "Hardware
From HauhauCS/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive. Creator model-card excerpt, not an independent review.
Inspect before you run
Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.
This directory does not run, host, redistribute, or test model weights.
Collection rules & limitations ↗