Convert and upload model files for Stable Diffusion
View and compare language model evaluations
Demo of the new, massively multilingual leaderboard
Compare audio representation models using benchmark results
Compare code model performance on benchmarks
Evaluate code generation with diverse feedback types
Browse and submit language model benchmarks
Browse and submit model evaluations in LLM benchmarks
View RL Benchmark Reports
Evaluate and submit AI model results for Frugal AI Challenge
Create and upload a Hugging Face model card
Pergel: A Unified Benchmark for Evaluating Turkish LLMs
Persian Text Embedding Benchmark
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.