Gemma-3-R1984-12B
| Property | Value |
|---|---|
| Parameter Count | 12B |
| Context Window | 8,000 tokens |
| License | MIT (Agentic AI) / Gemma (gemma-3-12B) |
| Hardware Requirements | NVIDIA L40s GPU (53GB+ VRAM) |
What is Gemma-3-R1984-12B?
Gemma-3-R1984-12B is an advanced multimodal AI platform built upon Google's Gemma-3-12B architecture. This model represents a significant evolution in AI capabilities, combining robust reasoning with multimodal processing and deep research capabilities. It's specifically designed for secure local deployment, making it ideal for organizations requiring both high performance and data privacy.
Implementation Details
The model operates on independent local servers using NVIDIA L40s GPUs, requiring a minimum of 53GB VRAM with peak usage reaching 82GB. It implements state-of-the-art deep research capabilities through SERPHouse API integration, enabling real-time web search functionality with up to 20 search results per query.
- Multimodal support for images (PNG, JPG, JPEG, GIF, WEBP), videos (MP4), and documents (PDF, CSV, TXT)
- Extended context window of 8,000 tokens for comprehensive document analysis
- Chain-of-thought reasoning for systematic answer generation
- Secure local deployment architecture preventing data leakage
Core Capabilities
- Real-time web search integration with source citation
- Advanced visual processing for images and videos
- Document comparison and analysis
- Complex reasoning and research-based inquiries
- Uncensored response generation with high accuracy
Frequently Asked Questions
Q: What makes this model unique?
The model's combination of multimodal processing, deep research capabilities, and secure local deployment sets it apart. Its ability to handle an 8,000-token context while maintaining high security standards makes it particularly valuable for enterprise applications.
Q: What are the recommended use cases?
The model excels in fast-response conversational agents, deep research applications, document analysis, visual question answering, and complex reasoning tasks. It's particularly suited for organizations requiring secure, locally-deployed AI solutions with comprehensive multimodal capabilities.
