Text / HauhauCS

Gemma 4 E4B Uncensored HauhauCS Aggressive

Gemma 4 E4B Uncensored HauhauCS Aggressive is an uncensored GGUF variant of google/gemma-4-e4b-it, released under the gemma license. It is tagged for image-text-to-text, multilingual, vision, multimodal, and audio, and is described as abliterated/uncensored. The Aggressive variant is stated to be fully unlocked and not to refuse prompts, though it may occasionally append short disclaimers baked into base model training. Quantized GGUF files and an mmproj file are listed.

EstimatedRepository opened Apr 2, 2026Source checked 9/25/2026Version: 45b6a334
LOCALRENTED GPUOPEN WEIGHTS
Freshness 47 out of 100. Repository age: 196 days old, Apr 2, 2026. Measures age, not quality.
Popularity 82 out of 100. 1,265,777 downloads in 30 days; 1,388 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source
Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method
WORKFLOWS FOR THIS MODEL 1

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At a glance

Architecture
unknown
License
gemma
Disk space
5 GB
Software
llama.cpp
View the model source
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Best for

  • Multilingual image-text-to-text inference
  • Vision and multimodal inference
  • Audio-related multimodal inference
  • Running quantized GGUF models locally
  • Exploring uncensored response behavior

Tradeoffs

  • License is gemma
  • Model card claims 0/465 refusals; not independently verified here
  • Aggressive variant may append short disclaimers
  • The model is uncensored/abliterated and may generate unrestricted content
  • Hardware compatibility widget may not recognize K_P quants and may show fewer files than actually exist

Ways to run it

llama.cpp · Windows, macOS, Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

llama-cli -m Gemma-4-E4B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf --jinja -c 8192 -ngl 99
Official instructions

Explore its uses

GGUFMULTILINGUALIMAGE-TEXT-TO-TEXT

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Gemma 4 E4B Uncensored HauhauCS Aggressive: hardware, VRAM & setup | YouRunAI