lora
CommunityEfficient LoRA-based fine-tuning for LLMs.
Authoritsmostafa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
LoRA enables efficient fine-tuning by freezing the base model and injecting small trainable matrices, dramatically reducing trainable parameters and memory usage while enabling multiple task-specific adapters from a single base model.
Core Features & Use Cases
- Parameter-efficient fine-tuning with minimal memory overhead.
- Support for multiple adapters and quick switching between tasks (e.g., sentiment, translation, code generation).
- Optional advanced techniques (DoRA, rsLoRA) and QLoRA for very large models.
Quick Start
Configure a LoRA adapter with a small rank and apply it to your base model to start a lightweight fine-tuning run.
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: lora Download link: https://github.com/itsmostafa/llm-engineering-skills/archive/main.zip#lora Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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