VIDraft/Gemma-3-R1984-27B
VIDraft/Gemma-3-R1984-27B is an Agentic AI platform built on Google's Gemma-3-27B model, featuring approximately 27 billion parameters and an 8,000-token context window. It specializes in multimodal processing, deep web research, and robust reasoning, supporting images, videos, and documents. Designed for secure local deployment on NVIDIA A100 GPUs, it provides uncensored responses and prevents data leakage. This model is optimized for complex reasoning, research-based inquiries, and multimodal conversational agents.
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Model Overview
VIDraft/Gemma-3-R1984-27B is an Agentic AI platform based on Google's Gemma-3-27B model, designed for robust reasoning and multimodal processing. It integrates state-of-the-art deep research via web search and handles various file types, including images, videos, and documents, within an 8,000-token context window. The model is built for secure local deployment on independent servers equipped with NVIDIA A100 GPUs, ensuring data privacy and uncensored responses.
Key Capabilities
- Multimodal Processing: Supports images (PNG, JPG, GIF, WEBP), videos (MP4), and documents (PDF, CSV, TXT).
- Deep Research (Web Search): Automatically extracts keywords and uses the SERPHouse API to retrieve and cite up to 20 real-time search results.
- Long Context Handling: Processes inputs up to 8,000 tokens for comprehensive analysis.
- Robust Reasoning: Employs extended chain-of-thought reasoning for accurate answer generation.
- Secure Local Deployment: Operates on NVIDIA A100 GPUs in local server environments to prevent information leakage.
Good For
- Fast-response conversational agents.
- Deep research and retrieval-augmented generation (RAG).
- Document comparison and detailed analysis.
- Visual question answering from images and videos.
- Complex reasoning and research-based inquiries.