fast-mlx
CommunitySpeed MLX workloads with fast ops and compile.
AuthorWindChimeRan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
MLX models and graphs often suffer from runtime bottlenecks due to non-optimized operators, eager evaluations, and suboptimal memory management. This Skill analyzes MLX graphs to identify opportunities to replace slow ops with fast MLX primitives, improves compilation strategy, and reduces peak memory usage.
Core Features & Use Cases
- Optimize graph performance by substituting slow operations with MLX fast ops and enabling shapeless or shape-aware compilation when appropriate.
- Tune memory usage with lazy loading awareness and temporaries management to minimize peak memory during evaluation.
- Profiling and debugging guidance to locate bottlenecks in graph evaluation and execution.
Quick Start
Instruct MLX to optimize a given graph by replacing slow operators with fast equivalents and enabling compilation optimizations.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: fast-mlx Download link: https://github.com/WindChimeRan/claude-dotfiles/archive/main.zip#fast-mlx Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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