AIQ PRO

🔥 HuggingFace Heatmap Leaderboard
Visualizing AI ecosystem activity at a glance

aiqtech/Heatmap-Leaderboard

🎯 Introduction
A leaderboard that visualizes the vibrant HuggingFace community activity through heatmaps.

✨ Key Features
📊 Real-time Tracking - Model/dataset/app releases from AI labs and developers
🏆 Auto Ranking - Rankings based on activity over the past year
🎨 Responsive UI - Unique colors per organization, mobile optimized
⚡ Auto Updates - Hourly data refresh for latest information

🌍 Major Participants
Big Tech: OpenAI, Google, Meta, Microsoft, Apple, NVIDIA
AI Startups: Anthropic, Mistral, Stability AI, Cohere, DeepSeek
Chinese Companies: Tencent, Baidu, ByteDance, Qwen
HuggingFace Official: HuggingFaceH4, HuggingFaceM4, lerobot, etc.
Active Developers: prithivMLmods, lllyasviel, multimodalart and many more

🚀 Value
Trend Analysis 📈 Real-time open source contribution insights
Inspiration 💪 Learn from other developers' activity patterns
Ecosystem Growth 🌱 Visualize AI community development

@John6666 @Nymbo @MaziyarPanahi @prithivMLmods @fffiloni @gokaygokay @enzostvs @black-forest-labs @lllyasviel @briaai @multimodalart @unsloth @Xenova @mistralai @meta-llama @facebook @openai @Anthropic @google @allenai @apple @microsoft @nvidia @CohereLabs @ibm-granite @stabilityai @huggingface @OpenEvals @HuggingFaceTB @HuggingFaceH4 @HuggingFaceM4 @HuggingFaceFW @HuggingFaceFV @open-r1 @parler-tts @nanotron @lerobot @distilbert @kakaobrain @NCSOFT @upstage @moreh @LGAI-EXAONE @naver-hyperclovax @OnomaAIResearch @kakaocorp @Baidu @PaddlePaddle @tencent @BAAI @OpenGVLab @InternLM @Skywork @MiniMaxAI @stepfun-ai @ByteDance @Bytedance Seed @bytedance-research @openbmb @THUDM @rednote-hilab @deepseek-ai @Qwen @wan-ai @XiaomiMiMo @IndexTeam @agents-course
@Agents-MCP-Hackathon @akhaliq @alexnasa @Alibaba-NLP
@ArtificialAnalysis @bartowski @bibibi12345 @calcuis
@ChenDY @city96 @Comfy-Org @fancyfeast @fal @google

🌐 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.

aiqtech/LLM-Token-Visual

✨ Key Features

🤖 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

🛠️ Technology Stack

Backend: Flask (Python)
Frontend: HTML, CSS, JavaScript (jQuery)
Tokenizers: 🤗 Transformers library