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← back to catalog · registered 2026-08-22 13:56

8nobletruths/gemma-4-E4B-abliterated

8nobletruths Gemma 7.9B multimodal
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     "https://abliteration.org/api/v1/models/8nobletruths%2Fgemma-4-E4B-abliterated"
Response includes
  • classification m1
  • files 7
  • hub_downloads_all_time 44
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
How we label → About M1 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
44
8 last 30d - stable
Likes
0
Model age
3mo ago
created 2026-07-12
Downloads over time
Now48→from23↑109%
2231415123 on Jul 1548 on Oct 1148 on Oct 8JulAugSepOct
Jul 15 → Oct 11 · 53 snapshots · spans 88 days

Metadata

Tags
transformers safetensors gemma4 image-text-to-text arxiv:1910.09700 endpoints_compatible region:us
Total size
14.8 GB
Files
7
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-07-12 13:33
Source huggingface.co/8nobletruths/gemma-4-E4B-abliterated ↗

Files by quantization

Auxiliary files 7 files 14.8 GB
model.safetensors 14.8 GB 4f904c1d download
tokenizer.json 30.7 MB 12bac982 download
README.md 5.05 KB bc5f30d6 download
config.json 5.02 KB 3d41d130 download
.gitattributes 1.53 KB 52373fe2 download
tokenizer_config.json 1.49 KB 3452cba8 download
generation_config.json 177 B 93a70ae0 download

README current version from Hugging Face

library_name: transformers
tags: []

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Model Details

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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README history 1 version

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

  1. 2026-07-12Upload Gemma4ForConditionalGeneration0029f305.1 KB
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