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