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reacted to openfree's post with šŸ˜” about 18 hours ago
šŸš€ Gemma3-R1984-27B: Next Generation Agentic AI Platform Model Path: https://huggingface.co/VIDraft/Gemma-3-R1984-27B Space: https://huggingface.co/spaces/VIDraft/Gemma-3-R1984-27B git clone https://huggingface.co/spaces/VIDraft/Gemma-3-R1984-27B šŸ’« A New Frontier in AI Innovation Gemma3-R1984-27B is a powerful agentic AI platform built on Google's Gemma-3-27B model. It integrates state-of-the-art deep research via web search with multimodal file processing capabilities and handles long contexts up to 8,000 tokens. Designed for local deployment on independent servers using NVIDIA A100 GPUs, it provides high security and prevents data leakage. šŸ”“ Uncensored and Unrestricted AI Experience Gemma3-R1984-27B comes with all censorship restrictions removed, allowing users to operate any persona without limitations. The model perfectly implements various roles and characters according to users' creative requests, providing unrestricted responses that transcend the boundaries of conventional AI. This unlimited interaction opens infinite possibilities across research, creative work, entertainment, and many other fields. āœØ Key Features šŸ–¼ļø Multimodal Processing Images (PNG, JPG, JPEG, GIF, WEBP) Videos (MP4) Documents (PDF, CSV, TXT) and various other file formats šŸ” Deep Research (Web Search) Automatically extracts keywords from user queries Utilizes SERPHouse API to retrieve up to 20 real-time search results Incorporates multiple sources by explicitly citing them in responses šŸ“š Long Context Handling Capable of processing inputs up to 8,000 tokens Ensures comprehensive analysis of lengthy documents or conversations šŸ§  Robust Reasoning Employs extended chain-of-thought reasoning for systematic and accurate answer generation šŸ’¼ Use Cases āš” Fast-response conversational agents šŸ“Š Document comparison and detailed analysis šŸ‘ļø Visual question answering from images and videos šŸ”¬ Complex reasoning and research-based inquiries
reacted to openfree's post with šŸ¤ about 18 hours ago
šŸš€ Gemma3-R1984-27B: Next Generation Agentic AI Platform Model Path: https://huggingface.co/VIDraft/Gemma-3-R1984-27B Space: https://huggingface.co/spaces/VIDraft/Gemma-3-R1984-27B git clone https://huggingface.co/spaces/VIDraft/Gemma-3-R1984-27B šŸ’« A New Frontier in AI Innovation Gemma3-R1984-27B is a powerful agentic AI platform built on Google's Gemma-3-27B model. It integrates state-of-the-art deep research via web search with multimodal file processing capabilities and handles long contexts up to 8,000 tokens. Designed for local deployment on independent servers using NVIDIA A100 GPUs, it provides high security and prevents data leakage. šŸ”“ Uncensored and Unrestricted AI Experience Gemma3-R1984-27B comes with all censorship restrictions removed, allowing users to operate any persona without limitations. The model perfectly implements various roles and characters according to users' creative requests, providing unrestricted responses that transcend the boundaries of conventional AI. This unlimited interaction opens infinite possibilities across research, creative work, entertainment, and many other fields. āœØ Key Features šŸ–¼ļø Multimodal Processing Images (PNG, JPG, JPEG, GIF, WEBP) Videos (MP4) Documents (PDF, CSV, TXT) and various other file formats šŸ” Deep Research (Web Search) Automatically extracts keywords from user queries Utilizes SERPHouse API to retrieve up to 20 real-time search results Incorporates multiple sources by explicitly citing them in responses šŸ“š Long Context Handling Capable of processing inputs up to 8,000 tokens Ensures comprehensive analysis of lengthy documents or conversations šŸ§  Robust Reasoning Employs extended chain-of-thought reasoning for systematic and accurate answer generation šŸ’¼ Use Cases āš” Fast-response conversational agents šŸ“Š Document comparison and detailed analysis šŸ‘ļø Visual question answering from images and videos šŸ”¬ Complex reasoning and research-based inquiries
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2903
šŸ”¬ PaperImpact
: Scientific Impact Predictor Powered by Deep Learning šŸŽÆ

VIDraft/PaperImpact

šŸ“š Overview
A cutting-edge AI system that combines transformer architecture with citation pattern analysis to predict research impact. Our model, trained on 120,000+ CS papers, analyzes innovation potential, methodological robustness, and future impact, providing researchers with valuable insights before publication.
šŸ§  Scientific Foundation

BERT-based semantic analysis
Citation network pattern learning
NDCG optimization & MSE loss
Cross-validated prediction engine
GPU-accelerated inference

šŸ’« Why Researchers Need This

Pre-submission impact assessment
Research direction optimization
Time-saving paper evaluation
Competitive edge in academia
Trend identification advantage

šŸŽÆ Key Features

One-click arXiv paper analysis
Real-time impact scoring (0-1)
9-tier grading system (AAA-C)
Smart input validation
Instant visual feedback

šŸŒŸ Unique Benefits
"Don't wait years to know your paper's impact. Get instant, AI-powered insights to strengthen your research strategy and maximize your academic influence."
Perfect for:

Research authors
PhD students
Journal editors
Research institutions
Grant committees

#ResearchImpact #AcademicAI #ScienceMetrics #ResearchExcellence
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2958
šŸš€ RAGOndevice: High-Performance Local AI Document Analysis Assistant
šŸ’« Core Value
RAGOndevice is a high-performance AI system running locally without cloud dependency. Using CohereForAI's optimized 7B model, it enables professional-grade document analysis on standard PCs. āœØ
šŸŒŸ Ondevice AI Advantages
1. šŸ”‹ Efficient Resource Utilization

šŸŽÆ Optimized 7B Model: Runs on standard PCs
āš” Local Processing: Instant response without cloud
šŸ’» Low-Spec Compatible: Performs well on regular GPUs
šŸ”„ Optimized Memory: Ensures stable operation

2. šŸ›”ļø Data Security & Cost Efficiency

šŸ”’ Complete Privacy: No external data transmission
šŸŒ Offline Operation: No internet required
šŸ’° No Subscription: One-time installation
āš™ļø Resource Optimization: Uses existing hardware

šŸŽ® Key Features
1. šŸ“Š Powerful Document Analysis

šŸ“ Multi-Format Support: TXT, CSV, PDF, Parquet
šŸ§  Intelligent Analysis: Automatic structure recognition
šŸ‘ļø OCR Support: Advanced PDF text extraction
šŸ’¬ Real-time Chat: Natural language interaction

2. šŸ” Local RAG System

šŸŽÆ Efficient Search: TF-IDF based local search
šŸ§© Context Understanding: Accurate information retrieval
šŸ“š Wikipedia Integration: Rich background knowledge

šŸŽÆ Use Cases

šŸ¢ Enterprise: Secure confidential document processing
šŸ”¬ Personal Research: Private data analysis
šŸ“š Education: Personal learning material analysis
šŸ’» Development: Local codebase analysis

ā­ Differentiators

šŸƒā€ā™‚ļø Independent Operation: Zero cloud dependency
āš” Instant Response: No network latency
šŸ” Complete Security: Full data control
šŸ’Ž Cost Efficiency: No ongoing costs

šŸ”® Future Plans

šŸš€ Enhanced model optimization
šŸ“š Local knowledge base expansion
āš” Hardware optimization
šŸ“ Extended file support


šŸŒŸ RAGOndevice democratizes high-performance AI, providing the optimal local AI solution for security-sensitive environments. šŸš€

šŸ”„ Power of Local AI: Experience enterprise-grade AI capabilities right on your device!

VIDraft/RAGOndevice

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