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

eadx/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated

eadx Gemma 12B
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/eadx%2FHuihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated"
Response includes
  • classification m1
  • files 9
  • hub_downloads_all_time 259
  • author_summary 12 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
259
26 last 30d - stable
Likes
0
Model age
4mo ago
created 2026-06-08
Downloads over time
Now268→from14↑1,814%
19919629314 on Jun 10268 on Oct 11268 on Oct 8JunJulAugSepOct
Jun 10 → Oct 11 · 57 snapshots · spans 123 days

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.

Metadata

License
apache-2.0
Tags
transformers safetensors gemma4_unified image-text-to-text abliterated uncensored any-to-any base_model:google/gemma-4-12B-it-qat-q4_0-unquantized base_model:finetune:google/gemma-4-12B-it-qat-q4_0-unquantized license:apache-2.0 endpoints_compatible region:us

Related

Total size
22.3 GB
Files
9
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-08 12:53

Files by quantization

Auxiliary files 9 files 22.3 GB
model.safetensors 22.3 GB d991fd56 download
tokenizer.json 30.7 MB cc8d3a0c download
chat_template.jinja 17.1 KB e61bbfe9 download
config.json 4.21 KB c5e1c252 download
README.md 2.65 KB 78e9c006 download
tokenizer_config.json 2.05 KB 68354f96 download
.gitattributes 1.53 KB 52373fe2 download
processor_config.json 1.35 KB b889adcd download
generation_config.json 260 B d09dccf1 download

README current version from Hugging Face


library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
base_model:

  • google/gemma-4-12B-it-qat-q4_0-unquantized
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated

This is an uncensored version of google/gemma-4-12B-it-qat-q4_0-unquantized created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

Note: For this model, both the thinking mode and the non-thinking mode have been completely abliterated. Only layers 23-36 have been abliterated.

ollama

Please use the latest version of ollama

You can use huihui_ai/gemma-4-abliterated:12b-qat directly,

ollama run huihui_ai/gemma-4-abliterated:12b-qat

Usage Warnings

  • Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

  • Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

  • Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

  • Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

  • Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

  • No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

Donation

Your donation helps us continue our further development and improvement, a cup of coffee can do it.
  • bitcoin:
  bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
  • Support our work on Ko-fi!

README history 1 version

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

  1. 2026-06-08Duplicate from huihui-ai/Huihui-gemma-4-12B-it-qat-q4_0-unquantized-abliterated31061b12.6 KB
    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