Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Calculate memory needed to train AI models
Evaluate LLM over-refusal rates with OR-Bench
Evaluate adversarial robustness using generative models
Compare and rank LLMs using benchmark scores
Browse and evaluate language models
Compare LLM performance across benchmarks
Demo of the new, massively multilingual leaderboard
Create demo spaces for models on Hugging Face
Benchmark AI models by comparison
Predict customer churn based on input details
Convert PyTorch models to waifu2x-ios format
Determine GPU requirements for large language models
The STM32 Model Zoo App is a tool designed for exploring and managing machine learning (ML) models optimized for STM32 microcontrollers. It provides a centralized dashboard to discover, evaluate, and deploy ML models, enabling developers to streamline their workflow when working with STM32Cube.AI.
What platforms are supported by the STM32 Model Zoo App?
The app supports STM32 microcontrollers and is compatible with STM32Cube.AI tools.
How do I update models in the STM32 Model Zoo App?
Models are regularly updated by STMicroelectronics. Users can refresh the model repository within the app to access the latest versions.
Is technical support available for the STM32 Model Zoo App?
Yes, users can access documentation, forums, and support resources through the STM32Cube.AI ecosystem.