Powered by Genetic Algorithms

Merge LLMs with Precision

Cutting-edge platform that combines the best layers from different fine-tuned models through evolutionary optimization to build more capable language models.

Powerful Features

Everything you need to merge, optimize, and benchmark language models

Genetic Algorithm Merging
Advanced evolutionary algorithms to find optimal layer selection combinations
  • • Population-based layer selection from finetunes
  • • Crossover and mutation of layer choices
  • • Multi-objective fitness evaluation
Layer Visualization
Real-time visualization of model architecture and merge process
  • • Interactive layer explorer
  • • Merge progress tracking
  • • Architecture comparison
Comprehensive Benchmarks
Extensive evaluation suite for merged models
  • • MMLU, HellaSwag, ARC
  • • Custom benchmark support
  • • Performance analytics
HuggingFace Integration
Seamless access to thousands of fine-tuned models
  • • Direct finetune discovery and loading
  • • Base model compatibility checking
  • • Finetune metadata and statistics
Optimized Performance
GPU-accelerated merging with memory optimization
  • • CUDA acceleration
  • • Memory-efficient algorithms
  • • Batch processing
Smart Recommendations
AI-powered suggestions for optimal merge strategies
  • • Model compatibility analysis
  • • Merge strategy suggestions
  • • Performance predictions

How It Works

Simple steps to create powerful merged models

1

Select Base Model & Finetunes

Choose a base model architecture, then select multiple finetunes from HuggingFace to serve as layer sources

2

Evolve Layer Selection

Genetic algorithm finds optimal combination of layers from different finetunes of the same base architecture

3

Benchmark & Deploy

Evaluate the merged model with selected layers and deploy the optimal finetune combination

Ready to Merge Models?

Join researchers and developers using GeneticMerge to create state-of-the-art language models