Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Browse and filter machine learning models by category and modality
Pergel: A Unified Benchmark for Evaluating Turkish LLMs
Display leaderboard of language model evaluations
Predict customer churn based on input details
Merge Lora adapters with a base model
Convert and upload model files for Stable Diffusion
Request model evaluation on COCO val 2017 dataset
Teach, test, evaluate language models with MTEB Arena
Compare LLM performance across benchmarks
Explore and visualize diverse models
Determine GPU requirements for large language models
Benchmark AI models by comparison
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.