Merge machine learning models using a YAML configuration file
Load AI models and prepare your space
Benchmark AI models by comparison
Measure BERT model performance using WASM and WebGPU
Compare audio representation models using benchmark results
Leaderboard of information retrieval models in French
Benchmark models using PyTorch and OpenVINO
Predict customer churn based on input details
Explore and submit models using the LLM Leaderboard
View and submit language model evaluations
Display model benchmark results
Convert and upload model files for Stable Diffusion
Browse and filter machine learning models by category and modality
Mergekit-gui is a graphical user interface designed for merging machine learning models. It simplifies the process of combining models using a YAML configuration file, making it easier to manage and deploy merged models. This tool is particularly useful for model benchmarking and streamlines workflows in machine learning development.
• Model Merging: Merge multiple machine learning models into a single model using a YAML configuration file.
• Benchmarking Support: Includes features to benchmark the performance of merged models against individual models.
• Version Control: Tracks different versions of merged models for easy comparison and deployment.
• User-Friendly Interface: Provides a graphical interface for visualizing and managing the merging process.
What is the purpose of the YAML configuration file?
The YAML configuration file defines which models to merge, their respective weights, and other parameters to ensure the merging process meets your requirements.
Can I use mergekit-gui for non-machine learning tasks?
No, mergekit-gui is specifically designed for merging machine learning models and is not intended for general-purpose file merging.
Is mergekit-gui compatible with all machine learning frameworks?
Mergekit-gui supports popular frameworks like TensorFlow and PyTorch. Check the official documentation for a full list of supported frameworks.