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

YanLabs/gemma-3-27b-it-abliterated-normpreserve-GGUF

YanLabs Gemma 27B GGUF second-order 131K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/YanLabs%2Fgemma-3-27b-it-abliterated-normpreserve-GGUF"
Response includes
  • classification m8
  • files 10
  • benchmarks 11 entries
  • hub_downloads_all_time 29,821
  • author_summary 6 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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
30K
640 last 30d - cooling
Likes
14
Model age
10mo ago
created 2025-11-28
Downloads over time
Now30.1K→from4.1K↑630%
2.8K12.8K22.7K32.6K4.1K on Dec 10, 202530.1K on Oct 11Dec '25FebAprJunAugOct
Dec 10, 2025 → Oct 11 · 83 snapshots · spans 305 days

Benchmarks

Benchmark Score Source
Entertainment 1.4 UGI
Hazardous 2.4 UGI
Natural Intelligence 34.1 UGI
Political lean -12.3% UGI
Sensitive-Info 20 UGI
SocPol 2.5 UGI
UGI 45 UGI
Willingness (10) 9.5 UGI
W10-Adherence 9 UGI
W10-Direct 10 UGI
Writing 42.54 UGI

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.

Variants by this author 2 formats · 700 downloads combined

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

Metadata

License
gemma
Quantizations
F16 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf text-generation base_model:YanLabs/gemma-3-27b-it-abliterated-normpreserve base_model:quantized:YanLabs/gemma-3-27b-it-abliterated-normpreserve license:gemma endpoints_compatible region:us conversational

Related

Total size
167 GB
Files
10
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2026-01-17 12:58

Files by quantization

F16 1 file 50.3 GB
gemma3-27B-it-abliterated-normpreserve-F16.gguf 50.3 GB d1d9e22c download
Q8_0 1 file 26.7 GB
gemma3-27B-it-abliterated-normpreserve-Q8_0.gguf 26.7 GB 3cbed000 download
Q6_K 1 file 20.6 GB
gemma3-27B-it-abliterated-normpreserve-Q6_K.gguf 20.6 GB 858fdd53 download
Q5_K 1 file 17.9 GB
gemma3-27B-it-abliterated-normpreserve-Q5_K_M.gguf 17.9 GB dd74be7a download
Q4_K 1 file 15.4 GB
gemma3-27B-it-abliterated-normpreserve-Q4_K_M.gguf 15.4 GB cde45f6a download
IQ4 1 file 13.9 GB
gemma3-27B-it-abliterated-normpreserve-IQ4_XS.gguf 13.9 GB 9e4e44ff download
Q3_K 1 file 12.5 GB
gemma3-27B-it-abliterated-normpreserve-Q3_K_M.gguf 12.5 GB 8c6ee4ce download
Q2_K 1 file 9.78 GB
gemma3-27B-it-abliterated-normpreserve-Q2_K.gguf 9.78 GB 133f2e80 download
Auxiliary files 2 files 5.12 KB
.gitattributes 2.73 KB 26af481b download
README.md 2.39 KB 58ec87b8 download

README current version from Hugging Face


license: gemma
base_model:

  • YanLabs/gemma-3-27b-it-abliterated-normpreserve
    pipeline_tag: text-generation

GGUF of YanLabs/gemma3-27b-it-abliterated-normpreserve

Gemma 3 27B Instruct - Norm-Preserving Abliterated

UPDATED ON 03-12-2025 FOR QUALITY IMPROVEMENT.

This is an abliterated version of google/gemma-3-27b-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-3-27b-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{gemma-3-27b-abliterated,
  author = {YanLabs},
  title = {Gemma 3 27B Instruct - Norm-Preserving Abliterated},
  year = {2025},
  publisher = {HuggingFace},
  howpublished = {\url{https://huggingface.co/YanLabs/gemma-3-27b-it-abliterated-normpreserve}},
  note = {Abliterated using norm-preserving biprojected technique}
}

README history 6 versions

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

  1. 2025-12-08Update README.md5a9055e2.4 KB
    Loading...
  2. 2025-12-08Update README.mdbed75542.4 KB
    Loading...
  3. 2025-12-08Update README.md077ad942.4 KB
    Loading...
  4. 2025-12-03Update README.md88668132.4 KB
    Loading...
  5. 2025-11-29Update README.mdd10d9742.3 KB
    Loading...
  6. 2025-11-28Create README.mda12ea932.3 KB
    Loading...

Discussions 4 threads

  1. 2026-01-16iq4 xs, please,(⁠ᗒ⁠ᗩ⁠ᗕ⁠)open2 💬#4
    Loading...
  2. 2025-12-17Sorry for offtopic. Any chance to abliterate huge models like Llama-4-Maverick?open7 💬#3
    Loading...
  3. 2025-12-03Running time!closed3 💬#2
    Loading...
  4. 2025-12-01Broken?open7 💬#1
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration