Convert and upload model files for Stable Diffusion
Calculate GPU requirements for running LLMs
Measure execution times of BERT models using WebGPU and WASM
Explain GPU usage for model training
Display model benchmark results
Browse and submit model evaluations in LLM benchmarks
Optimize and train foundation models using IBM's FMS
Evaluate LLM over-refusal rates with OR-Bench
View RL Benchmark Reports
View and compare language model evaluations
Track, rank and evaluate open LLMs and chatbots
Load AI models and prepare your space
Quantize a model for faster inference
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.