JMP (JAX Mixed Precision)

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library 0.0.4 ·python
verified May 23, 2026

JMP is a Python library from DeepMind that provides abstractions for mixed precision training in JAX. It enables the use of full and half-precision floating-point numbers during model training to reduce memory bandwidth and improve computational efficiency. It is currently at version 0.0.4 and sees active development with new releases addressing JAX compatibility and feature enhancements.

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