Merge machine learning models using a YAML configuration file
Compare and rank LLMs using benchmark scores
Display model benchmark results
Quantize a model for faster inference
Compare code model performance on benchmarks
Demo of the new, massively multilingual leaderboard
Evaluate AI-generated results for accuracy
Explore and submit models using the LLM Leaderboard
Submit models for evaluation and view leaderboard
Push a ML model to Hugging Face Hub
Evaluate open LLMs in the languages of LATAM and Spain.
Browse and evaluate language models
Calculate memory needed to train AI models
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.