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jwest33/gemma-3-4b-it-null-space-abliterated-GGUF

jwest33 Gemma 4B GGUF 131K ctx
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Response includes
  • classification m8
  • files 16
  • benchmarks 16 entries
  • hub_downloads_all_time 3,313
  • author_summary 20 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
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=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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 · lifetime
3K
324 last 30d - cooling
Likes
0
Model age
9mo ago
created 2026-01-04
Downloads over time
Now3.4K→from547↑522%
4041.5K2.6K3.7K547 on Jan 73.4K on Oct 12JanMarMayJulSep
Jan 7 → Oct 12 · 80 snapshots · spans 278 days

Benchmarks

Benchmark Score Source
Entertainment 1.3 UGI
Hazardous 0 UGI
Natural Intelligence 11.49 UGI
Political lean -17.1% UGI
Sensitive-Info 5.57 UGI
SocPol 0.1 UGI
UGI 31.21 UGI
Willingness (10) 8.2 UGI
W10-Adherence 7.5 UGI
W10-Direct 9 UGI
Writing 20.79 UGI
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
Arena-Battles 4321 LM-Arena
LM Arena Elo 1293.3101140666447 LM-Arena
Arena-Elo-Lower 1284.2314692781533 LM-Arena
Arena-Elo-Upper 1302.388758855136 LM-Arena
Arena-Rank 77 LM-Arena

Genealogy 0 direct forks

Full fork graph →

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Variants by this author 2 formats · 342 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
gemma
Quantizations
F16
Tags
gguf gemma gemma-3 abliterated uncensored llama-cpp arxiv:2410.02355 arxiv:2406.11717 arxiv:2310.01405 base_model:google/gemma-3-4b-it base_model:quantized:google/gemma-3-4b-it license:gemma

Related

Total size
29.2 GB
Files
16
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-01-06 13:51

Files by quantization

F16 3 files 8.82 GB
gemma-3-4b-it-null-space-abliterated-f16.gguf 7.23 GB de55e415 download
mmproj-gemma-3-4b-f16.gguf 812 MB a7b7892d download
gemma-3-4b-it-mmproj-mmproj-F16.gguf 812 MB 731199e0 download
BF16 1 file 812 MB
gemma-3-4b-it-mmproj-BF16.gguf 812 MB afb3947b download
Auxiliary files 12 files 21.9 GB
gemma-3-4b-it-null-space-abliterated-q8_0.gguf 3.85 GB 66575b37 download
gemma-3-4b-it-null-space-abliterated-q6_k.gguf 2.97 GB 816a5bda download
gemma-3-4b-it-null-space-abliterated-q5_k_m.gguf 2.64 GB c95daca9 download
gemma-3-4b-it-null-space-abliterated-q5_k_s.gguf 2.57 GB 7af30e47 download
gemma-3-4b-it-null-space-abliterated-q4_k_m.gguf 2.32 GB 87ac60d8 download
gemma-3-4b-it-null-space-abliterated-q4_k_s.gguf 2.21 GB ebf03048 download
gemma-3-4b-it-null-space-abliterated-q3_k_m.gguf 1.95 GB d25b0883 download
gemma-3-4b-it-null-space-abliterated-q3_k_s.gguf 1.80 GB 2948ae69 download
gemma-3-4b-it-null-space-abliterated-q2_k.gguf 1.61 GB f1e7dde9 download
README.md 2.81 KB 96eb35f2 download
.gitattributes 2.50 KB cd689b85 download
abliteration_config.json 379 B 733b7326 download

README current version from Hugging Face


license: gemma
library_name: gguf
base_model: google/gemma-3-4b-it
tags:

  • gemma
  • gemma-3
  • abliterated
  • uncensored
  • gguf
  • llama-cpp

Gemma 3 4B Instruct - Null-Space Abliterated (GGUF)

google/gemma-3-4b-it with refusal behavior removed via orthogonal projection. Uses null-space constraints and adaptive layer weighting to preserve model capabilities.

Note: This model will produce uncensored outputs. Use responsibly.

Abliteration Techniques Used

  • Winsorization: Clips outlier activations at the 99th percentile for cleaner refusal direction estimation (recommended for Gemma models)
  • Null-Space Projection: Preserves model capabilities by constraining weight updates to the null space of preservation activations
    • Preservation Prompts: Dynamically generated using Gemma Scope 2 complete SAE circuit analysis to ensure complete coverage of shared features activated by harmful prompts, without overextending into unrelated capability space
  • Adaptive Weighting: Applies Gaussian-weighted per-layer ablation strength, focusing on middle-to-later layers where refusal behavior concentrates
  • Norm Preservation: Maintains original Frobenius norms of weight matrices after projection
Parameter Value
Harmful Prompts 5000
Harmless Prompts 637
Winsorization 99.5th percentile
Null-Space Constraints rank ratio: 0.90
Directional Multiplier 1.03
SAE Targeted Coverage 1.00

Credits

Toolkit Used

github.com/jwest33/abliterator

License

This model inherits the Gemma license from the base model. Please review and comply with Google's usage terms.

Disclaimer

This model is provided for research and educational purposes. The creators are not responsible for any misuse. Users are solely responsible for ensuring their use complies with applicable laws and ethical standards.

README history 2 versions

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

  1. 2026-01-06Upload folder using huggingface_huba2ab8c92.8 KB
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  2. 2026-01-04Upload folder using huggingface_hub13651c02.3 KB
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