Convert and upload model files for Stable Diffusion
Compare LLM performance across benchmarks
View and submit machine learning model evaluations
Display leaderboard of language model evaluations
View NSQL Scores for Models
Merge Lora adapters with a base model
Browse and evaluate language models
View RL Benchmark Reports
Compare code model performance on benchmarks
Convert Hugging Face model repo to Safetensors
Explain GPU usage for model training
Evaluate and submit AI model results for Frugal AI Challenge
Measure over-refusal in LLMs using OR-Bench
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.