mlx-training-optimizer
Optimize Python MLX training loops with value_and_grad, accumulation, checkpointing, dtype, validation cadence, memory telemetry, and progress reporting.
- License
- MIT
Pinned to revision 44d186829284, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/mlx-training-optimizer/SKILL.md
- skills/mlx-training-optimizer/agents/openai.yaml
- skills/mlx-training-optimizer/assets/icon.png
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