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Model: Andycurrent/gemma-3-12b-it-uncensored-GGUF
Source: Original Platform

README.md

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+---
+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
+