jammerisue

jammerisue

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liked a Space 18 days ago
openfree/Deepseek-v3-0324-Research
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reacted to openfree's post with ๐Ÿš€ 18 days ago
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7220
๐Ÿš€ Gemma3-R1984-27B: Next Generation Agentic AI Platform

Model Path: VIDraft/Gemma-3-R1984-27B
Space: VIDraft/Gemma-3-R1984-27B
git clone 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
ยท
reacted to openfree's post with ๐Ÿ”ฅ 18 days ago
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Post
7220
๐Ÿš€ Gemma3-R1984-27B: Next Generation Agentic AI Platform

Model Path: VIDraft/Gemma-3-R1984-27B
Space: VIDraft/Gemma-3-R1984-27B
git clone 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
ยท
reacted to ginipick's post with ๐Ÿค๐Ÿคฏ๐Ÿ˜”๐Ÿ‘๐Ÿค—๐Ÿ˜Žโž•๐Ÿง  about 2 months ago
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Post
6449
๐Ÿš€ Introducing MOUSE: Space Research Thinking on HuggingFace Spaces

๐Ÿš€ How to Get Started
ginipick/spaces-research-think

Welcome to **MOUSE: Space Research Thinking** โ€“ an innovative HuggingFace Spaces project designed to transform how you analyze and interact with Python code. Whether you're a developer, researcher, or simply passionate about coding, this tool provides state-of-the-art analysis, summarization, and usage guidance, all powered by advanced AI.

---

## ๐ŸŒŸ Key Features

- **Real-Time Code Analysis**
Instantly dissect your Python code to reveal its structure, functionality, and potential applications. Our tool delivers:
- **Background & Necessity**: Understand the context behind the code.
- **Functional Utility & Value**: Highlight core functionalities and benefits.
- **Distinctive Features**: Discover what sets the project apart.
- **Target Audience & Applications**: Identify who can benefit and how.
- **Expected Impact**: Envision the improvements and innovations the code can drive.
๐Ÿ”

- **Visual File Structure Overview**
Navigate your project with ease! A dynamic tree-view displays your file hierarchy in a clear, intuitive format, allowing you to explore directories and files effortlessly. ๐ŸŒฒ

- **Interactive Usage Guide**
Receive step-by-step instructions and practical tips on using the tool effectively. Our AI assistant explains everything in an engaging, user-friendly manner, ensuring a smooth learning curve. ๐Ÿ’ก

- **AI-Powered Code Chat**
Engage in real-time conversations with our AI. Ask questions, request detailed explanations, or dive deeper into code specifics with a chat interface that makes complex topics accessible. ๐Ÿค–๐Ÿ’ฌ

- **Customizable Experience**
Tailor the analysis to your needs with adjustable parameters like token limits and response temperatures, enabling both concise summaries and in-depth explorations. โš™๏ธ
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