Hello AI researchers! 👋 Today I'm introducing a powerful chatbot implementation with real-time web search capabilities. ✨ Key Features
🧠 Chatbot based on qwen3-30b-a3b and llama4-maverick models 🔍 LLM-based optimal keyword extraction 🌐 Real-time web search using SerpHouse API 💬 Streaming responses for natural conversation experience
🛠️ Technology Stack
Gradio: Implementation of intuitive web interface Fireworks.ai API: Access to high-performance LLM models SerpHouse API: Collection of real-time search results
🌟 Application Areas
Question answering systems requiring up-to-date information Providing current information beyond training data Delivering reliable information with accurate sources
Add real-time search capabilities to your AI applications with this project! 🎉 Leave your questions or suggestions in the comments! Let's improve it together~ 💪 #LLM #ArtificialIntelligence #WebSearch #Gradio #DeepResearch #OpenSource
🔮 Mistral Perflexity AI - Local LLM Space with Web Search Capabilities 🌐 Hello AI enthusiasts! Today I'm excited to introduce my special Hugging Face space! 🚀
Powerful Model: Using Private-BitSix-Mistral-Small-3.1-24B-Instruct-2503, optimized through 6-bit quantization to run smoothly on local 4090 GPUs! 💪 Web Search Integration: Leveraging the Brave Search API to provide real-time web search results for user queries! 🔍 Customizable Responses: Shape AI personality and response format through system messages ⚙️ Multilingual Support: Perfect handling of both English and Korean! 🇺🇸🇰🇷
🛠️ Technical Highlights
GGUF Format: Optimized quantized model with excellent memory efficiency Flash Attention: Applied optimization technology for faster inference speeds 8K Context Window: Capable of handling lengthy conversations and complex queries Streaming Responses: Watch text being generated in real-time
💡 Use Cases
Complex Q&A requiring real-time information Programming assistance and code generation Multilingual content creation and translation Summarization and explanation of learning materials
🔧 Customization Adjust various parameters like Temperature, Top-p, Top-k, and repetition penalty to control response creativity and accuracy. Lower temperature (0.1-0.5) produces more deterministic responses, while higher values (0.7-1.0) generate more creative outputs!
🌟 Try It Yourself! This space is available for anyone to use for free. Experience the power of a robust local LLM combined with web search capabilities! Your feedback is always welcome! 😊
The new versions of Midjourney Mix adapters have been dropped in stranger zone hf. These adapters excel in studio lighting portraits and painterly styles, trained using the style of strangerzonehf/Flux-Midjourney-Mix2-LoRA. They leverage 24-bit colored synthetic images generated form midjourney v6 to achieve high-quality image reproducibility and support adaptable aspect ratios, using Flux.1 as the base model. 🥳
The best dimensions and inference settings for optimal results are as follows: A resolution of 1280 x 832 with a 3:2 aspect ratio is recommended for the best quality, while 1024 x 1024 with a 1:1 aspect ratio serves as the default option. For inference, the recommended number of steps ranges between 30 and 35 to achieve optimal output.
Hello, AI art enthusiasts! 💖 Today I'm introducing a special model - Pierre-Auguste Renoir Studio. Create your own beautiful artwork in the style of the 19th century French Impressionist master! 🖼️ ✨ Why Renoir's Style? Renoir is famous for his luminous colors and soft brushstrokes. His works feature:
🌞 Warm sunshine and dancing light 👨👩👧👦 The beauty of everyday life and joyful moments 🌸 Vibrant nature and portraits of beautiful women 🎭 Lively Parisian social gatherings and outdoor scenes
🔬 Technical Features This model was developed as a flux-based learning model trained on a curated collection of high-resolution masterpieces from renowned global artists. The LoRA fine-tuning process leveraged exceptional quality open-access imagery released by prestigious institutions including the Art Institute of Chicago. The resulting model demonstrates remarkable capability in capturing the nuanced artistic techniques and stylistic elements across diverse historical art movements! 🧠💫 🚀 How to Use
Describe your desired scene in the prompt box Add the "renoir" keyword at the end (this is the trigger keyword!) Click the 'Generate' button Enjoy your ideas reborn in Renoir's style!
💡 Recommended Prompt Examples
"Elegant ladies enjoying a picnic in a sunlit garden, wearing pastel dresses and hats renoir" "People boating by a riverbank, light reflecting on water, warmth of summer renoir" "Paris cafe terrace, people chatting over coffee, evening sunset renoir"
🌈 Now It's Your Turn! #AI#Renoir #ArtificialIntelligence#HuggingFace #FLUX #LoRA
🌟 Key Highlights Compact Size (14B parameters): Efficient for use in environments with limited computing resources, yet powerful in performance.
Extended Context (32k tokens): Capable of handling lengthy and complex input sequences.
Enhanced Reasoning: Excels at multi-step reasoning, particularly in mathematics, science, and coding challenges.
Chain-of-Thought Methodology: Provides a detailed reasoning process, followed by concise, accurate summaries.
🏅 Benchmark Achievements Despite its smaller size, Phi-4-reasoning-plus has delivered impressive results, often surpassing significantly larger models:
Mathematical Reasoning (AIME 2025): Achieved an accuracy of 78%, significantly outperforming larger models like DeepSeek-R1 Distilled (51.5%) and Claude-3.7 Sonnet (58.7%).
Olympiad-level Math (OmniMath): Strong performance with an accuracy of 81.9%, surpassing DeepSeek-R1 Distilled's 63.4%.
Graduate-Level Science Questions (GPQA-Diamond): Delivered competitive performance at 68.9%, close to larger models and demonstrating its capabilities in advanced scientific reasoning.
Coding Challenges (LiveCodeBench): Scored 53.1%, reflecting strong performance among smaller models, though slightly behind specialized coding-focused models.
🛡️ Safety and Robustness Comprehensive safety evaluation completed through Microsoft's independent AI Red Team assessments.
High standards of alignment and responsible AI compliance validated through extensive adversarial testing.
🎯 Recommended Applications Phi-4-reasoning-plus is especially suitable for: Systems with limited computational resources. Latency-sensitive applications requiring quick yet accurate responses.
📜 License Freely available under the MIT License for broad accessibility and flexible integration into your projects.
Dropping downstream tasks using newly initialized parameters and weights supports domain-specific image classification post-training, based on the SigLIP-2 models: Patch-16/224, Patch-16/256, and Patch-32/256. For more details, please refer to the respective model cards : 🤗
# ✨ Dream of IKEA: The Future of AI Interior Design ✨
Hello, AI interior design enthusiasts! 🏠 Today I'm thrilled to introduce you to **"Dream of IKEA"** - an amazing project that will completely transform your living spaces!
## 🌟 What Can It Do?
**Dream of IKEA** is a magical tool that uses artificial intelligence to transform your ordinary spaces into the interior design of your dreams! 🪄
- 📸 Simply upload a photo of your room - 💭 Describe your desired style or concept - 🎨 The AI will redesign your space with stunning results!
## 🏆 Key Features
- **Diverse Style Selection** - Over 20 design styles including Minimalist, Bohemian, Japanese, Scandinavian, and more - **User-Friendly Interface** - Beautiful, intuitive UI that anyone can use - **High-Quality Image Generation** - Amazing quality powered by ControlNet and Stable Diffusion - **Customizable Prompts** - Create completely personalized designs with your own prompts
## 🛠️ Technical Highlights
This project utilizes cutting-edge AI technology: - **ControlNet** - Maintains the structure of your original image while transforming the style - **NormalBae** - Creates natural transformations through 3D structure recognition - **Stable Diffusion** - The core of high-quality image generation
## 💡 How to Use
1. **Upload a Photo** - Select the space you want to transform 2. **Choose a Style** - Select from Modern, Classic, or Global design styles 3. **Add a Description** - Like "A cozy bedroom with mountain view" to refine your results 4. **Click Generate** - Let the AI work its magic! 🪄✨
## 🔮 Make Your Dream Space a Reality!
What space are you dreaming of? A minimalist Nordic living room? A glamorous Hollywood-style bedroom? Or perhaps a warm Bohemian kitchen? Now you can visualize all your interior design dreams with the help of AI!
Bringing out style-intermixing adapters for Flux.Dev, including Aura Glow, Fallen Ink Art, Cardboard Paper Arts, Black & White Expressions, and Glitter Gem Touch. For more details, visit the model card of the LoRA. 🥳
The best dimensions and inference settings for optimal results are as follows: A resolution of 1280 x 832 with a 3:2 aspect ratio is recommended for the best quality, while 1024 x 1024 with a 1:1 aspect ratio serves as the default option. For inference, the recommended number of steps ranges between 30 and 35 to achieve optimal output.
Dropping the domain-specific downstream image classification content moderation models, including the anime image type classification, GeoSceneNet, indoor-outdoor scene classification, and black-and-white vs. colored image classification models, along with the datasets. 🔥
Hello there! Today I'm excited to introduce you to a powerful AI blog creation tool called Ginigen Blog. This amazing app automatically generates high-quality blog content using Streamlit and the latest ChatGPT 4.1 API. And the best part? It's completely free to use! 👩💻✨
🧠 What Makes Ginigen Blog Special Ginigen Blog is not just a simple text generator! It offers these exceptional features:
Multiple Blog Templates: SEO-optimized, tutorials, reviews, and more Web Search Integration: Creates accurate content based on the latest information File Upload Analysis: Automatically analyzes TXT, CSV, and PDF files to incorporate into blogs Automatic Image Generation: Creates images that match your blog topic Various Output Formats: Download in Markdown, HTML, and more Latest GPT-4.1 Model: Cutting-edge AI technology for higher quality blog creation Completely Free Service: Access high-quality content generation without any cost!
💪 Who Is This Tool For?
📝 Content marketers and bloggers 🏢 Corporate blog managers 👨🏫 Educational content creators 🛍️ Product reviewers ✍️ Anyone looking to save time on writing!
🛠️ How Does It Work? Ginigen Blog generates high-quality blogs with just a simple topic input:
Enter a Blog Topic: Input your desired topic or keywords Select Settings: Choose template, tone, word count, etc. Utilize Web Search: Automatically incorporates the latest information into your blog Upload Files: Upload reference files if needed Auto-Generate: The AI analyzes all information to create a complete blog post Download: Get your content immediately in Markdown or HTML format!
🌟 Use Cases 🎭 "Summer festivals in 2025: A comprehensive guide to major regional events and hidden attractions"
💌 Closing Thoughts Ginigen Blog is a powerful tool that significantly reduces content creation time while maintaining quality.
🎨 BadgeCraft: Create Beautiful Badges with Ease! ✨ Hello there! Today I'm introducing BadgeCraft, a simple app that lets you create stunning badges for your websites, GitHub READMEs, and documentation.
🌟 Key Features
🖌️ 14 diverse color options including vibrant neon colors 🔤 Custom text input for label and message 🖼️ Support for 2000+ logos via Simple Icons 🔗 Clickable link integration 👁️ Real-time preview 💻 Ready-to-use HTML code generation
📝 How to Use
Label - Enter the text to display on the left side of the badge (e.g., "Discord", "Version", "Status") Message - Enter the text to display on the right side of the badge Logo - Type the name of a logo provided by Simple Icons (e.g., "discord", "github") Style - Choose the shape of your badge (flat, plastic, for-the-badge, etc.) Color Settings - Select background color, label background color, and logo color Link - Enter the URL that the badge will link to when clicked
✅ Use Cases
Add social media links to your GitHub project README Display version information or download links on your website Include tech stack badges in blog posts Show status indicators in documentation (e.g., "in development", "stable")
💡 Tips
Click on any of the prepared examples to automatically fill in all settings Copy the generated HTML code and paste directly into your website or blog HTML works in GitHub READMEs, but if you prefer markdown, use the  format
👨💻 Tech Stack This app was built using Gradio and leverages the shields.io API to generate badges. Its simple UI makes it accessible for everyone!
📊 Papers Impact: Instant AI Grading for Your Research Papers! 🚀
🌟 Introduction Hello, AI research community! 🎉 Introducing Papers Impact - the revolutionary AI tool that automatically grades and predicts the potential impact of research papers! 🧠💡
✨ Key Feature: Instant Paper Grading The core functionality is brilliantly simple: Just enter an arXiv paper ID or URL, and our AI instantly analyzes and grades the paper's potential academic impact! No need to read through the entire paper yourself - our system automatically evaluates the title and abstract to generate a normalized impact score between 0 and 1. 🎯 How It Works
Enter Paper ID or URL: Simply paste an arXiv ID (e.g., "2504.11651") or full URL Automatic Fetching: The system retrieves the paper's title and abstract AI Analysis: Our advanced LLaMA-based transformer model analyzes the content Instant Grading: Receive an impact score and corresponding letter grade in seconds!
💡 Who Can Benefit?
🔬 Researchers: Pre-assess your paper before submission 📚 Students: Quickly gauge the quality of papers for literature reviews 🏫 Educators: Objectively evaluate student research 📊 Research Managers: Prioritize which papers to read in depth 🧩 Journal Editors: Get an AI second opinion on submissions
🚀 Technical Details Our model is trained on an extensive dataset of published papers in CS.CV, CS.CL, and CS.AI fields, using NDCG optimization with Sigmoid activation and MSE loss. It's been rigorously cross-validated against historical citation data to ensure accurate impact predictions.
📚 Papers Leaderboard - See the Latest AI Research Trends at a Glance! ✨
Hello, AI research community! Today I'm introducing a new tool for exploring research papers. Papers Leaderboard is an open-source dashboard that makes it easy to find and filter the latest AI research papers.
Date Filtering: View only papers published within a specific timeframe (from May 5, 2023 to present) Title Search: Quickly find papers containing your keywords of interest Abstract Search: Explore paper content more deeply by searching for keywords within abstracts Automatic Updates: The database is updated with the latest papers every hour
💡 How to Use It?
Select a start date and end date Enter keywords you want to find in titles or abstracts Adjust the maximum number of search results for abstract searches Results are displayed neatly in table format
🌐 AI Token Visualization Tool with Perfect Multilingual Support
Hello! Today I'm introducing my Token Visualization Tool with comprehensive multilingual support. This web-based application allows you to see how various Large Language Models (LLMs) tokenize text.
🤖 Multiple LLM Tokenizers: Support for Llama 4, Mistral, Gemma, Deepseek, QWQ, BERT, and more 🔄 Custom Model Support: Use any tokenizer available on HuggingFace 📊 Detailed Token Statistics: Analyze total tokens, unique tokens, compression ratio, and more 🌈 Visual Token Representation: Each token assigned a unique color for visual distinction 📂 File Analysis Support: Upload and analyze large files
🌏 Powerful Multilingual Support The most significant advantage of this tool is its perfect support for all languages:
📝 Asian languages including Korean, Chinese, and Japanese fully supported 🔤 RTL (right-to-left) languages like Arabic and Hebrew supported 🈺 Special characters and emoji tokenization visualization 🧩 Compare tokenization differences between languages 💬 Mixed multilingual text processing analysis
🚀 How It Works
Select your desired tokenizer model (predefined or HuggingFace model ID) Input multilingual text or upload a file for analysis Click 'Analyze Text' to see the tokenized results Visually understand how the model breaks down various languages with color-coded tokens
💡 Benefits of Multilingual Processing Understanding multilingual text tokenization patterns helps you:
Optimize prompts that mix multiple languages Compare token efficiency across languages (e.g., English vs. Korean vs. Chinese token usage) Predict token usage for internationalization (i18n) applications Optimize costs for multilingual AI services
🤖 AI Academic Paper Generator: Your Research Partner 🎓
Hello, researchers! Today I'm introducing my AI Academic Paper Generation System. This application is built with Streamlit and provides AI agents to assist with every stage of the academic research process.
📚 Literature Research: AI reviews and summarizes relevant research 📝 Paper Outline: Generates a well-structured paper outline ✍️ Draft Writing: Creates a paper draft based on your research topic 🔗 Citation Generation: Automatically generates academic citations 🖋️ Editing & Polishing: Checks grammar, context, and logical flow 🌐 Multilingual Support: Interface available in English and Korean
🚀 How to Use
Enter basic information like research topic, paper title, and deadline AI agents generate everything from literature review to final paper Download your completed paper or consult with the chatbot for further assistance
💡 What Makes It Special This tool integrates all stages of academic research. Going beyond simple text generation, it mimics the actual research process to produce higher quality papers. Visualization features and social media sharing options will be added in the next update! 💪
🧠 ThinkFlow: The Revolutionary Platform That Gives LLMs the Power to Think 🚀
Hello AI community! We're excited to introduce you to ThinkFlow, an innovative service that transforms how language models solve problems. 🎉 VIDraft/ThinkFlow-llama
✨ What is ThinkFlow? ThinkFlow is a groundbreaking platform that automatically applies step-by-step reasoning capabilities to existing LLM models without any modifications. It makes complex problem-solving transparent, allowing you to witness the model's thought process in real-time.
🔍 Key Features
Reasoning Without Model Modifications: Add step-by-step reasoning while utilizing existing LLMs as they are ⚙️ Visualized Thinking Process: See exactly how the model analyzes and solves problems 👁️ Before & After Comparison: Compare standard responses with reasoning-enhanced outputs in real-time 📊 Improved Accuracy: Deliver more accurate solutions for complex math and logic problems 📈 Educational Value: Teach students systematic approaches to problem-solving 👨🏫 User-Friendly Interface: Intuitive and easy-to-use UI for seamless experience 🖥️
💡 What Problems Can It Solve? ThinkFlow is particularly effective for various domains including:
👨💻 Technical Details ThinkFlow is built on the meta-llama/Llama-3.1-8B-Instruct model and uses carefully designed prompt chains to guide the model through step-by-step thinking. Each reasoning step builds upon the results of previous steps, culminating in a comprehensive final answer.
💬 Join Our Community! If you have questions or suggestions about ThinkFlow, join our Discord community: https://discord.gg/openfreeai Let's build better AI reasoning experiences together! 💪
Dropping an entire collection of Style Intermixing Adapters on StrangerZone HF — including Realism, Anime, Sketch, Texture-Rich 3D Experimentals, Automotive Concept Images, and LoRA models based on Flux.1, SD 3.5 Turbo/Large, Stable Diffusion XL 🎨
Try out the demo for Multimodal OCR featuring the implementation of models including RolmOCR and Qwen2VL OCR. The use case showcases image-text-to-text conversion and video understanding support for the RolmOCR model ! 🚀
Hello everyone! With the rapid advancement of AI agent technology, two architectures have come into the spotlight: MCP (Model Context Protocol) and MCO (Model Context Open-json). Today, we’ll introduce the key features and differences of these two approaches.
MCP: The Traditional Approach 🏛️ Centralized Function Registry: All functions are hardcoded into the core system.
Static Function Definitions & Tight Coupling: New features require changes to the core application code, limiting scalability.
Monolithic Design: Complex deployment and version management can cause a single error to affect the whole system.
Code Example: '''py FUNCTION_REGISTRY = { "existing_function": existing_function, "new_function": new_function # Adding a new function } '''
MCO: A Revolutionary Approach 🆕 JSON-based Function Definitions: Function details are stored in external JSON files, enabling dynamic module loading.
Loose Coupling & Microservices: Each function can be developed, tested, and deployed as an independent module.
Flexible Scalability: Add new features by simply updating the JSON and module files, without modifying the core system.
JSON Example: [ { "name": "analyze_sentiment", "module_path": "nlp_tools", "func_name_in_module": "sentiment_analysis", "example_usage": "analyze_sentiment(text=\"I love this product!\")" } ]
Why MCO? 💡 Enhanced Development Efficiency: Developers can focus on their own modules with independent testing and deployment.
Simplified Error Management: Errors remain confined within their modules, enabling quick hotfixes.
Future-Proofing: With potential features like remote function calls (RPC), access control, auto-documentation, and a function marketplace, MCO paves the way for rapid innovation.
Practical Use & Community 🤝 The MCO implementation has been successfully tested on Vidraft’s LLM (based on Google Gemma-3)
🔥 AgenticAI: The Ultimate Multimodal AI with 16 MBTI Girlfriend Personas! 🔥
Hello AI community! Today, our team is thrilled to introduce AgenticAI, an innovative open-source AI assistant that combines deep technical capabilities with uniquely personalized interaction. 💘
Complete MBTI Implementation: All 16 MBTI female personas modeled after iconic characters (Dana Scully, Lara Croft, etc.) Persona Depth: Customize age groups and thinking patterns for hyper-personalized AI interactions Personality Consistency: Each MBTI type demonstrates consistent problem-solving approaches, conversation patterns, and emotional expressions
🚀 Cutting-Edge Multimodal Capabilities
Integrated File Analysis: Deep analysis and cross-referencing of images, videos, CSV, PDF, and TXT files Advanced Image Understanding: Interprets complex diagrams, mathematical equations, charts, and tables Video Processing: Extracts key frames from videos and understands contextual meaning Document RAG: Intelligent analysis and summarization of PDF/CSV/TXT files
💡 Deep Research & Knowledge Enhancement
Real-time Web Search: SerpHouse API integration for latest information retrieval and citation Deep Reasoning Chains: Step-by-step inference process for solving complex problems Academic Analysis: In-depth approach to mathematical problems, scientific questions, and data analysis Structured Knowledge Generation: Systematic code, data analysis, and report creation
🖼️ Creative Generation Engine
FLUX Image Generation: Custom image creation reflecting the selected MBTI persona traits Data Visualization: Automatic generation of code for visualizing complex datasets Creative Writing: Story and scenario writing matching the selected persona's style
