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handoekenman/braindao_gemma-3-27b-it-uncensored-EXL3

Name: handoekenman/braindao_gemma-3-27b-it-uncensored-EXL3
Author: handoekenman

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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/handoekenman%2Fbraindao_gemma-3-27b-it-uncensored-EXL3"

Response includes

classification m-uncensored
files 2
author_summary 1 models
readme_text full

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Abliteration classifier · v1.0.0

M-U

Primary method

Uncensored (method unknown)

No other method signals detected in this model.

Confidence

LOW

Why this label 3 signals

Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.

'uncensored' in name/tags but no 'abliterated' marker
method not identifiable from author declaration alone
may be DPO fine-tune, prompt engineering, or unknown technique

Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

Downloads · 30-day

Likes

Model age

5mo ago

created 2026-04-24

Downloads over time

Apr 22 → Oct 11 · 64 snapshots · spans 172 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

braindao/gemma-3-27b-it-uncensored↓ 14 this lineage

handoekenman/braindao_gemma-3-27b-it-uncensored-EXL3

Metadata

License

gemma

Files by quantization

Auxiliary files 2 files 3.21 KB

README.md	1.73 KB	b88ed500	download
.gitattributes	1.48 KB	a6344aac	download

README current version from Hugging Face

base_model: braindao/gemma-3-27b-it-uncensored
base_model_relation: quantized
quantized_by: ArtusDev
license: gemma
tags:

exl3

EXL3 Quants of braindao/gemma-3-27b-it-uncensored

EXL3 quants of braindao/gemma-3-27b-it-uncensored using exllamav3 for quantization.

Quants

Quant(Revision)	Bits per Weight	Head Bits
2.5_H6	2.5	6
3.0_H6	3.0	6
3.5_H6	3.5	6
4.0_H6	4.0	6
4.5_H6	4.5	6
5.0_H6	5.0	6
6.0_H6	6.0	6
8.0_H8	8.0	8

Downloading quants with huggingface-cli

Click to view download instructions

Install hugginface-cli:

pip install -U "huggingface_hub[cli]"

Download quant by targeting the specific quant revision (branch):

huggingface-cli download ArtusDev/braindao_gemma-3-27b-it-uncensored-EXL3 --revision "5.0bpw_H6" --local-dir ./

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

2026-04-24Duplicate from ArtusDev/braindao_gemma-3-27b-it-uncensored-EXL3ee4f3861.7 KB
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handoekenman/braindao_gemma-3-27b-it-uncensored-EXL3

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Uncensored (method unknown)

Genealogy 0 direct forks

Metadata

Related

Files by quantization

README current version from Hugging Face

EXL3 Quants of braindao/gemma-3-27b-it-uncensored

Quants

Downloading quants with huggingface-cli

README history 1 version

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