What is OptiML?
OptiML is an open-source project dedicated to maintaining and supporting state-of-the-art model compression. It simplifies the process for AI developers to compress and evaluate models in one-shot or during fine-tuning for a downstream task. Additionally, it provides a robust platform for researchers to develop and experiment with innovative compression techniques on any model.
Why should I use OptiML?
Improve Performance and Reduce Costs
- Desired Accuracy with Lower Costs: Produce models that achieve the desired accuracy while significantly reducing inferencing costs.
- Sustainable AI: Reduce energy consumption, supporting sustainable AI practices.
Easily Integrate in MLOps Pipelines
- Rapid Iteration: Quickly test and iterate on different compression strategies.
- Optimized Fine-Tuning: Enhance fine-tuning by ensuring optimal performance with lower complexity.
Support any Hardware
- Versatile Compatibility: Leverage compression gains on any hardware platform, from edge devices to cloud infrastructure.
- Consistent Deployment: Deploy compressed models across various environments with consistent performance.
Research New Compression
- Experiment with new approaches and easily evaluate on any model and benchmark against state-of-the-art.
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OptiML
OptiML
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