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sheep8

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replied to leonardlin's post 25 days ago

Happy to announce the release of Shisa V2, our latest generation of our bilingual Japanese-English language models. After hundreds of ablations and months of work, we're releasing some of the strongest open Japanese models at 7B, 8B, 12B, 14B, 32B and 70B! Full announcement here https://shisa.ai/posts/shisa-v2/ or visit the Shisa V2 HF collection: https://huggingface.co/collections/shisa-ai/shisa-v2-67fc98ecaf940ad6c49f5689

replied to smirki's post about 1 month ago

I was able to make a demo dashboard application with my react model through prompting. You can play with it here: https://huggingface.co/Tesslate/Tessa-T1-14B http://playcode.io/2309196 What my react model made (prompted each file individually) ``` Ex. Create a React component named Header that accepts the following props: logo (string): the URL to the logo image title (string): the title text to display menuItems (array of objects): each object should contain a label (string) and href (string) The Header should render a logo (an <img>), the title (e.g., in an <h1>), and a navigation menu with links. The component should be responsive with a mobile menu option. Export it as the default export. It should be one of the coolest things I've ever seen. Have it have a search and profile login and almost every feature that is really nice in a header. It should be framer level quality. ``` And a final prompt: ``` Construct a React component named Dashboard that integrates the Header, Sidebar, MainContent, and Footer components. (These should all be imports) This component should: State Management: Maintain a state variable activeTab (string) using React’s useState hook, defaulting to an initial value (e.g., 'dashboard'). State Propagation: Pass activeTab and a state update function (e.g., setActiveTab) to the Sidebar component via the onTabChange prop. Also pass activeTab to MainContent so that it knows which content to render. Layout: Arrange the components using a responsive layout. Place the Header at the top, a flex container for the body with the Sidebar on the left and MainContent on the right, and the Footer at the bottom. Styling: Use inline styles or CSS classes for basic layout structure (e.g., flexbox, grid). Export Dashboard as the default export. ```

replied to openfree's post about 1 month ago

🚀 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 💫 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. 🔓 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. ✨ Key Features 🖼️ Multimodal Processing Images (PNG, JPG, JPEG, GIF, WEBP) Videos (MP4) Documents (PDF, CSV, TXT) and various other file formats 🔍 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 📚 Long Context Handling Capable of processing inputs up to 8,000 tokens Ensures comprehensive analysis of lengthy documents or conversations 🧠 Robust Reasoning Employs extended chain-of-thought reasoning for systematic and accurate answer generation 💼 Use Cases ⚡ Fast-response conversational agents 📊 Document comparison and detailed analysis 👁️ Visual question answering from images and videos 🔬 Complex reasoning and research-based inquiries

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replied to leonardlin's post 25 days ago

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replied to smirki's post about 1 month ago

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replied to openfree's post about 1 month ago

Can be optimized and trained through proxy ip
https://www.thordata.com/?ls=lt&lk=huggingface