Pruna AI Open Sources Model Optimization Framework

Pruna AI Open Sources Model Optimization Framework

Pruna AI has made its AI model optimization framework open source, offering tools for efficient model compression and performance evaluation.

Pruna AI has open-sourced its AI model optimization framework, which applies various efficiency methods such as caching, pruning, quantization, and distillation to AI models. This move was announced on their social media. The framework is designed to standardize the process of saving, loading, and evaluating compressed models, ensuring minimal quality loss while enhancing performance.

The framework supports a wide range of models, including large language models, diffusion models, and computer vision models, with a current focus on image and video generation models. Pruna AI's enterprise offering includes advanced features like an optimization agent that automates the compression process based on user-defined parameters.

Pruna AI's open-source initiative aims to make AI more accessible and sustainable by providing a comprehensive suite of compression algorithms. The company also offers a pro version with additional optimization features, charging by the hour similar to cloud GPU rentals.

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