Open-source model optimization tool: Low cost, high quality
Improve your specialized models and cut costs in half.
1Introduction to model optimization
World-model-optimizer is an open-source tool designed to continuously improve your specialized models. With `wmo serve`, you can route repetitive tasks to smaller, optimized models. This allows you to reduce costs while maintaining quality.
2Distillation method
Enhance your specialized models through distillation from open-source models. Continuous improvement ensures your models become more efficient over time. This method reduces the complexity of large models while preserving performance.
3Model routing
The router decides which tasks should go to frontier models and which to specialized models. This intelligent routing helps you use resources most efficiently. Token compaction removes unnecessary data to further reduce costs.
4Local and hosted solutions
Set up a local OpenAI-compatible endpoint to run your own models. Alternatively, use hosted solutions to save up to 40% in costs. Both options offer continuous improvement over time.
5Demo and access
Watch our demo video to see how the tool works. Start using it immediately by entering your OpenRouter key and traces. You can also join the waitlist to access the hosted solution.
6Why it matters
This tool allows you to run specialized models at a lower cost. Continuous improvement ensures your models become more efficient over time. This is a significant advantage, especially for teams with limited resources.