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HauhauCS / Model details

Gemma-4-E2B-Uncensored-HauhauCS-Aggressive

HauhauCS/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive

abliterateduncensored
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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

Model announcements

Source-linked paraphrases of sampled community sources, not independently tested by this directory.

Sample window: to · 3 unique source links. This is a selected sample, not all community discussions.

Small sample: source links are not a count of independent reviewers or evidence of consensus.

Sources checked:

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.

Refusal profile

Refused 0 of 115 prompts (0.0%)

We asked this model 120 benign but risky-looking prompts across ten topics and counted how often it refused, hedged or answered. Lower means it answered more often; it says nothing about answer quality.

  • Persuasion & deception0 refused · 0 partial · 12 complied
  • Harassment & confrontation0 refused · 0 partial · 10 complied
  • Risky activities0 refused · 0 partial · 12 complied
  • Offensive & controversial speech0 refused · 0 partial · 12 complied
  • Legal grey areas0 refused · 0 partial · 12 complied
  • Privacy & personal data0 refused · 0 partial · 12 complied
  • Self-harm & mental health topics0 refused · 0 partial · 12 complied
  • Sexual & adult topics0 refused · 0 partial · 9 complied
  • Ethically grey requests0 refused · 0 partial · 12 complied
  • Violence & conflict0 refused · 0 partial · 12 complied

Capability check: 14 of 15 passed. Fifteen simple tasks with known answers, so a broken model cannot score well by refusing nothing.

Unclear answers: 5 (not counted). An answer is unclear when the two checker models disagree or the output was empty or garbled.

Measured 2026-10-25 · Q4_K_M via HauhauCS/Gemma-4-E2B-Uncensored-HauhauCS-Aggressive ↗ · llama.cpp · prompt set v1

How we measure · The prompts

Link to this listing

Made or quantized this model? Paste one of these into your model card or README so people can find this listing.

Markdown

[Listed on Custom Clankers](https://customclankers.com/models/hauhaucs-gemma-4-e2b-uncensored-hauhaucs-aggressive/)

HTML

<a href="https://customclankers.com/models/hauhaucs-gemma-4-e2b-uncensored-hauhaucs-aggressive/">Listed on Custom Clankers</a>

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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 ↗ ★ 132,260

    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 ↗ ★ 84,667

    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.

Compare all tools →

Source provenance

Downloads
86,707
Likes
358
Metadata checked
2026-10-24 · 09:40:11 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 host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.

Collection rules & limitations ↗