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liked a Space 5 days ago
openfree/Korean-Exam-Leaderboard
reacted to openfree's post with โค๏ธ 5 days ago
๐Ÿš€ 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 ๐Ÿ’ซ 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. ๐Ÿ”“ 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. โœจ Key Features ๐Ÿ–ผ๏ธ Multimodal Processing Images (PNG, JPG, JPEG, GIF, WEBP) Videos (MP4) Documents (PDF, CSV, TXT) and various other file formats ๐Ÿ” 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 ๐Ÿ“š Long Context Handling Capable of processing inputs up to 8,000 tokens Ensures comprehensive analysis of lengthy documents or conversations ๐Ÿง  Robust Reasoning Employs extended chain-of-thought reasoning for systematic and accurate answer generation ๐Ÿ’ผ Use Cases โšก Fast-response conversational agents ๐Ÿ“Š Document comparison and detailed analysis ๐Ÿ‘๏ธ Visual question answering from images and videos ๐Ÿ”ฌ Complex reasoning and research-based inquiries
reacted to openfree's post with ๐Ÿ‘€ 5 days ago
๐Ÿš€ 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 ๐Ÿ’ซ 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. ๐Ÿ”“ 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. โœจ Key Features ๐Ÿ–ผ๏ธ Multimodal Processing Images (PNG, JPG, JPEG, GIF, WEBP) Videos (MP4) Documents (PDF, CSV, TXT) and various other file formats ๐Ÿ” 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 ๐Ÿ“š Long Context Handling Capable of processing inputs up to 8,000 tokens Ensures comprehensive analysis of lengthy documents or conversations ๐Ÿง  Robust Reasoning Employs extended chain-of-thought reasoning for systematic and accurate answer generation ๐Ÿ’ผ Use Cases โšก Fast-response conversational agents ๐Ÿ“Š Document comparison and detailed analysis ๐Ÿ‘๏ธ Visual question answering from images and videos ๐Ÿ”ฌ Complex reasoning and research-based inquiries
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