Merge machine learning models using a YAML configuration file
Display benchmark results
Display and filter leaderboard models
Convert Hugging Face model repo to Safetensors
Create and upload a Hugging Face model card
Evaluate RAG systems with visual analytics
Export Hugging Face models to ONNX
Quantize a model for faster inference
Create demo spaces for models on Hugging Face
Evaluate and submit AI model results for Frugal AI Challenge
Evaluate AI-generated results for accuracy
Evaluate adversarial robustness using generative models
View and submit LLM evaluations
MergeKit-GUI is a user-friendly graphical interface designed for merging machine learning models. It simplifies the process of combining models using a YAML configuration file, making it accessible to both researchers and practitioners. The tool is particularly useful for model benchmarking and streamlines the workflow for model merging tasks.
• YAML Configuration Support: Define model merging parameters using a simple YAML file.
• GUI-Based Interface: Intuitive interface for visualizing and managing model merging processes.
• Automated Benchmarking: Easily compare performance metrics of merged models.
• Multi-Model Support: Merge models from different frameworks and formats.
• Configuration Validation: Ensure correct settings before initiating the merge.
• Real-Time Previews: Review merging results and parameters in real-time.
• Cross-Platform Compatibility: Runs on Windows, macOS, and Linux systems.
What models can I merge with MergeKit-GUI?
MergeKit-GUI supports merging models from various frameworks, including TensorFlow, PyTorch, and ONNX formats.
How do I install MergeKit-GUI?
Installation instructions are available in the official repository. Ensure you have the required dependencies installed before proceeding.
Can I customize the merging process?
Yes, the YAML configuration file allows you to define custom parameters and settings for the merging process.