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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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Torchchat offers export, quantization, and eval features, making it an end-to-end solution for local inference setups.
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Torchchat is organized into three areas: Python, C++, and mobile devices, ensuring comprehensive support across platforms
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Torchchat provides a REST API accessible via Python CLI or through a web browser, simplifying the interface for developers.
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Torchchat produces a desktop-friendly binary using PyTorch’s AOTInductor backend optimized for desktop environments.
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Torchchat uses ExecuTorch to export a .pte binary file for on-device inference, ensuring efficient mobile performance.
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Check out the Torchchat repo and test its features to improve LLM performance on all devices.
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