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

braindao/gemma-3-12b-it-uncensored

braindao Gemma 12B multimodal
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/braindao%2Fgemma-3-12b-it-uncensored"
Response includes
  • classification m-uncensored
  • files 15
  • hub_downloads_all_time 510
  • providers 1
  • author_summary 32 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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
510
18 last 30d - cooling
Likes
2
Descendants
2
in 2 direct forks
Model age
18mo ago
created 2025-04-09
Available via
1 provider
featherless-ai
Downloads over time
Now516→from15↑3,340%
018937756615 on Apr 23, 2025516 on Oct 11516 on Oct 10Apr '25Jul '25Oct '25JanAprJulOct
Apr 23, 2025 → Oct 11 · 116 snapshots · spans 536 days

Genealogy 2 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

Tags
transformers safetensors gemma3 image-text-to-text conversational arxiv:1910.09700 text-generation-inference endpoints_compatible region:us

Related

Total size
22.7 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-04-24 09:06

Files by quantization

Auxiliary files 15 files 22.7 GB
model-00001-of-00005.safetensors 4.64 GB 4b573b49 download
model-00003-of-00005.safetensors 4.59 GB dbd47674 download
model-00004-of-00005.safetensors 4.59 GB dd375588 download
model-00002-of-00005.safetensors 4.59 GB a7d161b4 download
model-00005-of-00005.safetensors 4.29 GB 2081eff3 download
tokenizer.json 31.8 MB 4667f208 download
tokenizer.model 4.47 MB 1299c11d download
tokenizer_config.json 1.10 MB 4ef101c1 download
model.safetensors.index.json 106 KB c5eb054c download
README.md 5.05 KB bc5f30d6 download
config.json 1.57 KB 901dc654 download
.gitattributes 1.53 KB 52373fe2 download
special_tokens_map.json 662 B 1a619324 download
generation_config.json 210 B c4400ddc download
added_tokens.json 35.0 B e17bde03 download

README current version from Hugging Face


library_name: transformers
tags: []

Model Card for Model ID

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: [More Information Needed]
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Downstream Use [optional]

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]

Training Details

Training Data

[More Information Needed]

Training Procedure

Preprocessing [optional]

[More Information Needed]

Training Hyperparameters

  • Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

[More Information Needed]

Evaluation

Testing Data, Factors & Metrics

Testing Data

[More Information Needed]

Factors

[More Information Needed]

Metrics

[More Information Needed]

Results

[More Information Needed]

Summary

Model Examination [optional]

[More Information Needed]

Environmental Impact

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

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

[More Information Needed]

Compute Infrastructure

[More Information Needed]

Hardware

[More Information Needed]

Software

[More Information Needed]

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Model Card Authors [optional]

[More Information Needed]

Model Card Contact

[More Information Needed]

README history 1 version

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

  1. 2025-04-09Upload Gemma3ForConditionalGeneration7f655ec5.1 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