💻 programming

Pruna

Pruna is a model optimization framework that helps developers deliver models quickly and efficiently.

#machine learning
#deep learning
#Developer Tools
#data science
#Model optimization
Pruna

Product Details

Pruna is a model optimization framework designed for developers. Through a series of compression algorithms, such as quantization, pruning and compilation technologies, it makes machine learning models faster, smaller and less computationally expensive during inference. The product is suitable for a variety of model types, including LLMs, visual converters, etc., and supports multiple platforms such as Linux, MacOS, and Windows. Pruna also provides the enterprise version Pruna Pro, which unlocks more advanced optimization features and priority support to help users improve efficiency in practical applications.

Main Features

1
Supports optimization of multiple model types, including LLMs and visual transformers.
2
Integrate multiple compression algorithms, such as quantization, pruning and caching, to improve model performance.
3
Provides a simple and easy-to-use API, allowing users to optimize models with just a few lines of code.
4
Get more advanced features and technical support with Pruna Pro.
5
Allows collection of non-personal telemetry data to improve product performance.
6
The built-in evaluation interface helps users test the performance of the optimized model.
7
Supports GPU acceleration to improve computing efficiency.
8
Provide detailed documentation and community support to facilitate users to get started and solve problems.

How to Use

1
Make sure to install Python 3.9 and above.
2
Choose to install Pruna using pip, or clone and install from source.
3
Load a pretrained model such as Stable Diffusion.
4
Use Pruna's smash function to optimize the model and configure optimization parameters.
5
Use the evaluation interface to test the optimized model performance.

Target Users

Pruna is suitable for machine learning developers, data scientists, and AI researchers who need to quickly optimize and deliver efficient models. With Pruna, users can easily increase the model's inference speed and reduce resource consumption, which is especially important in scenarios that need to process large-scale data or are deployed in resource-constrained environments.

Examples

Use Pruna to optimize the model to reduce inference time when using Stable Diffusion to generate images.

Quantize and prune large-scale speech recognition models to reduce memory usage.

Leverage Pruna Pro’s advanced features for custom model optimization in real-world applications.

Quick Access

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Categories

💻 programming
› Development and Tools
› Model training and deployment

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