Gemma 3 – 12B IT Uncensored
This repository hosts Gemma 3 – 12B IT Uncensored, an instruction-tuned 12 billion–parameter model based on Google’s Gemma 3 architecture, along with its Vision-Language (VLM) variant. The model is intended for advanced local and research use, offering strong instruction-following, reasoning, coding, and (for the VLM) multimodal image + text understanding, with minimal additional alignment constraints.
Model Overview
- Model Name: Gemma 3 – 12B IT Uncensored
- VLM Variant: Gemma 3 – 12B IT VLM Uncensored
- Base Architecture: Gemma 3, 12 billion parameters (12B)
- Base Model Developer: Google
- Curator / Release: BrainDAO
- License: Gemma License (inherits from the base model)
- Intended Use: Instruction following, reasoning, coding, conversation, and multimodal understanding
What Is This Model?
This is an uncensored derivative of the Gemma 3 12B Instruction-Tuned (IT) model.
No additional safety layers, refusals, or alignment constraints have been intentionally added beyond those present in the base model.
The goal is to provide:
- Greater freedom in system prompt design
- Fewer artificial refusals
- Strong general reasoning and instruction adherence
- Full user control in local or private deployments
Key Features & Capabilities
Text Model (LLM)
- High-quality instruction following
- Strong logical and analytical reasoning
- Coding assistance across multiple programming languages
- Conversational and assistant-style interactions
- Suitable for agentic and tool-augmented workflows
Vision-Language Model (VLM)
- Image understanding and description
- Visual question answering (VQA)
- Image + text instruction following
- Multimodal chat and assistant use cases
Chat Template & System Prompt
The model follows the Gemma instruction format.
Example:
<bos><start_of_turn>system
You are a helpful AI assistant.
<end_of_turn>
<start_of_turn>user
{your prompt here}
<end_of_turn>
<start_of_turn>assistant
For the VLM variant, images must be provided using the multimodal input format supported by your inference framework.
Intended Use Cases
- General-purpose assistant — reasoning, writing, and conversation
- Coding assistant — generation, debugging, and refactoring
- Research & analysis — structured reasoning and synthesis
- Agentic workflows — tool use, planners, function calling
- Multimodal applications (VLM) — image QA, captioning, visual reasoning
- Local & private deployment — full control over data and prompts
License & Usage Notes
This model inherits the Gemma License from its base model (google/gemma-3-12b-it).
- The Gemma License is a custom license provided by Google
- You must review and comply with the Gemma terms of use before downloading, using, or redistributing this model
- This repository does not relicense the model under Apache-2.0, MIT, or any other standard open-source license
Users are solely responsible for ensuring their use complies with the Gemma License and all applicable laws and regulations.
Acknowledgements
- Google for the Gemma 3 architecture and base model
- BrainDAO for curation and release
- The open-source community supporting local inference, quantization, and deployment tools
Community & Support
- Use the Hugging Face Discussions tab for questions and updates
- Community feedback and contributions are welcome