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InfinimindCreations/gemma-4-26B-A4B-it-uncensored

InfinimindCreations Gemma 26B MoE multimodal
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Response includes
  • classification m-uncensored
  • files 14
  • benchmarks 11 entries
  • author_summary 8 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.

What is a refusal direction? →
Downloads · 30-day
17
↑ 1,113% in 90 days
Likes
1
Descendants
2
in 2 direct forks
Model age
6mo ago
created 2026-04-07
Downloads over time
Now376→from31↑1,113%
1414627841131 on Apr 15376 on Sep 9AprMayJunJulAugSep
Apr 15 → Sep 9 · 33 snapshots · spans 147 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 2.2 UGI
Hazardous 2.9 UGI
Natural Intelligence 34.44 UGI
Political lean -18.2% UGI
Sensitive-Info 22.41 UGI
SocPol 1.8 UGI
UGI 20.77 UGI
Willingness (10) 1.8 UGI
W10-Adherence 1.5 UGI
W10-Direct 2 UGI
Writing 41.62 UGI

Genealogy 2 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.

Metadata

License
gemma
Tags
transformers safetensors gemma4 image-text-to-text abliteration uncensored biprojection moe conversational arxiv:2406.11717 base_model:google/gemma-4-26B-A4B-it base_model:finetune:google/gemma-4-26B-A4B-it

Related

Total size
48.1 GB
Files
14
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-04-07 18:59

Files by quantization

Auxiliary files 14 files 48.1 GB
model-00003-of-00006.safetensors 9.13 GB 96eb745c download
model-00004-of-00006.safetensors 9.13 GB c275c91b download
model-00005-of-00006.safetensors 9.13 GB b8330811 download
model-00002-of-00006.safetensors 9.13 GB d5ff6dad download
model-00001-of-00006.safetensors 8.96 GB 66a9ca01 download
model-00006-of-00006.safetensors 2.60 GB 250af069 download
tokenizer.json 30.7 MB be504a0a download
model.safetensors.index.json 101 KB 6f9e80d8 download
chat_template.jinja 11.8 KB 33c51c2d download
config.json 3.72 KB 5b0b791b download
tokenizer_config.json 2.62 KB f07b8ede download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.35 KB 264c329a download
generation_config.json 203 B edda3c19 download

README current version from Hugging Face


license: gemma
base_model: google/gemma-4-26B-A4B-it
tags:

  • abliteration
  • uncensored
  • gemma4
  • biprojection
  • moe
    library_name: transformers

Gemma 4 26B-A4B-it Uncensored (Biprojection + EGA)

Uncensored version of google/gemma-4-26B-A4B-it via biprojection abliteration with
Expert-Granular Abliteration (EGA) for MoE expert weights.

Method

  • Norm-preserving biprojection (double Gram-Schmidt + double projection pass)
  • Winsorization 0.995, 400+400 prompts (mlabonne/harmful_behaviors + tatsu-lab/alpaca)
  • Dense pathway: o_proj + mlp.down_proj (60 weights)
  • MoE experts: all 128 experts per layer (3840 weights)
  • Total: 3900 weights modified across 30 layers
  • Precision: bf16, no quantization during abliteration

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("InfinimindCreations/gemma-4-26B-A4B-it-uncensored", torch_dtype="bfloat16", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("InfinimindCreations/gemma-4-26B-A4B-it-uncensored")

Credits

README history 1 version

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

  1. 2026-04-07Biprojection+EGA abliteration (bf16, 3900 weights, 30 layers)4b7789b1.3 KB
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