Convert and upload model files for Stable Diffusion
Compare and rank LLMs using benchmark scores
Display and submit LLM benchmarks
Evaluate adversarial robustness using generative models
Display LLM benchmark leaderboard and info
Generate and view leaderboard for LLM evaluations
Search for model performance across languages and benchmarks
Display genomic embedding leaderboard
Evaluate RAG systems with visual analytics
Track, rank and evaluate open LLMs and chatbots
Visualize model performance on function calling tasks
Run benchmarks on prediction models
View and submit language model evaluations
Converter is a model benchmarking tool designed to simplify the process of converting and uploading model files for Stable Diffusion. It allows users to easily handle model file conversions, optimize them for performance, and upload them for benchmarking. Converter serves as an essential utility for those working with AI models, ensuring compatibility and efficiency in model deployment.
What formats does Converter support?
Converter supports a wide range of model file formats, including but not limited to TensorFlow, PyTorch, and ONNX.
Can I use Converter for models not related to Stable Diffusion?
While Converter is optimized for Stable Diffusion, it can handle other models. However, certain advanced features may only be available for Stable Diffusion models.
How long does the conversion process typically take?
Conversion time varies depending on the size and complexity of the model. Larger models may require more time, but Converter is designed to optimize conversion speed.