gemma-3-12b-it-uncensored-GGUF/README.md

---
license: gemma
language:
- en
base_model:
- google/gemma-3-12b-it
tags:
- Uncensored
- text-generation
- vision-language
- multimodal
---

# 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