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mlx-optimizer-plugin
mlx-optimizer-plugin contient 6 skills collectées depuis sealad886, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Optimize Python MLX inference and generation loops with warmup, batching, cache handling, synchronization, quantization, and memory checks.
Guide MLX Metal profiling, mx.fast escalation, custom Metal kernels, and C++ extensions when profiling proves kernel-level bottlenecks.
Route Python-first MLX optimization work on Apple Silicon to focused audit, training, inference, Metal, or bridge workflows.
Audit Python MLX repos for lazy-eval, synchronization, compile, dtype, memory, progress, and benchmark issues.
Advise on Python-first MLX integration with Swift, C, C++, and non-native language boundaries.
Optimize Python MLX training loops with value_and_grad, accumulation, checkpointing, dtype, validation cadence, memory telemetry, and progress reporting.