·lora

Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specialized models from a single base.

6Installs·0Trend·@itsmostafa

Installation

$npx skills add https://github.com/itsmostafa/llm-engineering-skills --skill lora

SKILL.md

LoRA (Low-Rank Adaptation) enables efficient fine-tuning by freezing pretrained weights and injecting small trainable matrices into transformer layers. This reduces trainable parameters to 0.1% of the original model while maintaining performance.

Instead of updating all weights during fine-tuning, LoRA decomposes weight updates into low-rank matrices:

The key insight: weight updates during fine-tuning have low intrinsic rank, so we can represent them efficiently with smaller matrices.

Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specialized models from a single base. Source: itsmostafa/llm-engineering-skills.

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Install command
npx skills add https://github.com/itsmostafa/llm-engineering-skills --skill lora
Category
</>Dev Tools
Verified
First Seen
2026-02-11
Updated
2026-02-18

Quick answers

What is lora?

Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specialized models from a single base. Source: itsmostafa/llm-engineering-skills.

How do I install lora?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/itsmostafa/llm-engineering-skills --skill lora Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/itsmostafa/llm-engineering-skills

Details

Category
</>Dev Tools
Source
skills.sh
First Seen
2026-02-11