Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Text-To-Speech (TTS) Evaluation using objective metrics.
Display leaderboard for earthquake intent classification models
View and submit LLM benchmark evaluations
Convert and upload model files for Stable Diffusion
Convert Stable Diffusion checkpoint to Diffusers and open a PR
Load AI models and prepare your space
GIFT-Eval: A Benchmark for General Time Series Forecasting
View and compare language model evaluations
Evaluate open LLMs in the languages of LATAM and Spain.
Calculate memory usage for LLM models
Convert PaddleOCR models to ONNX format
Track, rank and evaluate open LLMs and chatbots
The STM32 Model Zoo app is a comprehensive dashboard designed for exploring, managing, and benchmarking machine learning models optimized for STM32 microcontrollers. It provides a centralized platform for users to discover pre-trained models, evaluate performance metrics, and deploy them efficiently. This tool is essential for developers working with STM32 devices to streamline their ML model development and deployment process.
• Model Browser: Easily explore and filter models based on criteria like model size, complexity, and performance.
• Performance Metrics: View detailed benchmark results, including inference time, memory usage, and accuracy.
• Model Comparison: Compare multiple models side-by-side to identify the best fit for specific applications.
• Export Functionality: Directly export models in formats compatible with STM32 devices.
• Integration Support: Compatible with STM32Cube.AI tools for seamless integration into existing workflows.
• User-Friendly Interface: Intuitive design with visualizations to simplify model selection and management.
What are the system requirements for the STM32 Model Zoo app?
The app is designed to work with STM32Cube.AI tools and requires a compatible operating system (e.g., Windows, Linux). Ensure you have the latest STM32Cube.AI software installed.
How do I find models suited for my specific application?
Use the model browser’s filters to narrow down models by size, complexity, or application domain. You can also search by keyword or sort by performance metrics.
Can I integrate custom models into the STM32 Model Zoo app?
Yes, you can add custom models to the Model Zoo by exporting them in the required format (e.g., .zip file containing model weights and metadata) and uploading them through the app’s interface.