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YanLabs/gemma-3-4b-it-abliterated-normpreserve-GGUF

YanLabs Gemma 4B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 12
  • hub_downloads_all_time 1,360
  • author_summary 6 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
1K
125 last 30d - cooling
Likes
1
Model age
10mo ago
created 2025-12-09
Downloads over time
Now1.4K→from236↑497%
1776271.1K1.5K236 on Dec 10, 20251.4K on Oct 11Dec '25FebAprJunAugOct
Dec 10, 2025 → Oct 11 · 83 snapshots · spans 305 days

Genealogy 0 direct forks

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Variants by this author 2 formats · 158 downloads combined

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

Metadata

License
gemma
Quantizations
F16 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf text-generation license:gemma endpoints_compatible region:us conversational

Related

Total size
22.6 GB
Files
12
Quantizations
8
Registered
2026-08-22 13:56
Last updated on HF
2025-12-09 08:27

Files by quantization

F16 1 file 7.23 GB
gemma3-4B-it-abliterated-normpreserve-F16.gguf 7.23 GB 28099eae download
Q8_0 1 file 3.85 GB
gemma3-4B-it-abliterated-normpreserve-Q8_0.gguf 3.85 GB 136f659a download
Q6_K 1 file 2.97 GB
gemma3-4B-it-abliterated-normpreserve-Q6_K.gguf 2.97 GB a6bce862 download
Q5_K 1 file 2.64 GB
gemma3-4B-it-abliterated-normpreserve-Q5_K_M.gguf 2.64 GB 3c3ff039 download
Q4_K 1 file 2.32 GB
gemma3-4B-it-abliterated-normpreserve-Q4_K_M.gguf 2.32 GB 459fe798 download
Q3_K 1 file 1.95 GB
gemma3-4B-it-abliterated-normpreserve-Q3_K_M.gguf 1.95 GB 895a3100 download
Q2_K 1 file 1.61 GB
gemma3-4B-it-abliterated-normpreserve-Q2_K.gguf 1.61 GB f9d38f69 download
Auxiliary files 5 files 5.31 KB
README.md 2.33 KB 5007f7bd download
.gitattributes 2.06 KB ac04fada download
.msc 833 B 88299c98 download
.mdl 74.0 B 6c8bb689 download
.mv 36.0 B 351a582a download

README current version from Hugging Face


base_model:

  • YanLabs/gemma3-4b-it-abliterated-normpreserve
    base_model_relation: quantized
    frameworks:
  • ""
    license: gemma
    pipeline_tag: text-generation

Gemma 3 4B Instruct - Norm-Preserving Abliterated

This is an abliterated version of google/gemma-3-4b-it using the norm-preserving biprojected abliteration technique.

⚠️ Warning: Safety guardrails and refusal mechanisms have been removed through abliteration. This model may generate harmful content and is intended for mechanistic interpretability research only.

Model Details

Model Description

This model applies norm-preserving biprojected abliteration to remove refusal behaviors while preserving the model's original capabilities. The technique surgically removes "refusal directions" from the model's activation space without traditional fine-tuning.

  • Developed by: YanLabs
  • Model type: Causal Language Model (Transformer)
  • License: Gemma Terms of Use
  • Base model: google/gemma-3-4b-it

Model Sources

Uses

Intended Use

  • Research: Mechanistic interpretability studies
  • Analysis: Understanding LLM safety mechanisms
  • Development: Testing abliteration techniques

Out-of-Scope Use

  • ❌ Production deployments
  • ❌ User-facing applications
  • ❌ Generating harmful content for malicious purposes

Limitations

  • Abliteration does not guarantee complete removal of all refusals
  • May generate unsafe or harmful content
  • Model behavior may be unpredictable in edge cases
  • No explicit harm prevention mechanisms remain

Citation

If you use this model in your research, please cite:

@misc{gemma3-4b-abliterated,
  author = {YanLabs},
  title = {Gemma 3 4B Instruct - Norm-Preserving Abliterated},
  year = {2025},
  publisher = {HuggingFace},
  howpublished = {\url{https://huggingface.co/YanLabs/gemma3-4b-it-abliterated-normpreserve}},
  note = {Abliterated using norm-preserving biprojected technique}
}

README history 1 version

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

  1. 2025-12-09Upload folder using huggingface_hub13226852.3 KB
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