Pytorch releases Torchchat, a lightweight library to run LLMs

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Introduced on July 30, 2024, Torchchat is a new library from PyTorch. It is designed to run large language models across various devices seamlessly and efficiently.

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What is Torchchat

Torchchat offers export, quantization, and eval features, making it an end-to-end solution for local inference setups.

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Key Features of Torchchat

Torchchat is organized into three areas: Python, C++, and mobile devices, ensuring comprehensive support across platforms

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Organized Project Structure

Torchchat provides a REST API accessible via Python CLI or through a web browser, simplifying the interface for developers.

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Python Integration

Torchchat produces a desktop-friendly binary using PyTorch’s AOTInductor backend optimized for desktop environments.

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C++ Integration

Torchchat uses ExecuTorch to export a .pte binary file for on-device inference, ensuring efficient mobile performance.

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Mobile Integration

Check out the Torchchat repo and test its features to improve LLM performance on all devices.

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Explore Torchchat