coreml-optimizer
CommunitySpeed up CoreML models on-device with compression.
Authorckorhonen
Version1.0.0
Installs0
System Documentation
What problem does it solve?
CoreML models often require optimization to reduce file size and improve on-device latency, making on-device inference faster and cheaper.
Core Features & Use Cases
- Apply quantization, palettization, and pruning to reduce model size while preserving accuracy.
- Profile, analyze, and debug CoreML performance using tools like MLComputePlan, Core ML Instruments, and model introspection.
- Deploy optimized models using ML Program format with appropriate compute_units settings for Neural Engine, CPU, and GPU.
Quick Start
Run the CoreML optimization workflow to compress weights and accelerate on-device inference.
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: coreml-optimizer Download link: https://github.com/ckorhonen/claude-skills/archive/main.zip#coreml-optimizer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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