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Fused, logit-free linear-cross-entropy loss, RAM-fit planner, and benchmark harness for MLX fine-tuning on Apple Silicon
pip install mlx-train-perf
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<0.33,>=0.32.0mlx-train-perf publishes 1 wheel and 1 source archive for version 0.4.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
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PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.