gpt2-codegolf
CommunityMinimize ML inference code size.
AuthorZurybr
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of implementing complex machine learning model inference, like GPT-2, within extremely strict code size limitations, often referred to as "code golf."
Core Features & Use Cases
- Extreme Size Constraints: Implement ML inference in minimal code, suitable for embedded systems or competitive programming.
- Checkpoint Parsing: Guidance on handling model weights and parameters under tight byte limits.
- Use Case: You need to run a small transformer model on a device with only a few kilobytes of available code space, requiring a highly optimized C implementation.
Quick Start
Follow the guidance in this skill to implement GPT-2 inference under strict code size constraints.
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: gpt2-codegolf Download link: https://github.com/Zurybr/lefarma-skills/archive/main.zip#gpt2-codegolf Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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