Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on consumer GPUs, when VRAM is limited, or when standard LoRA still exceeds memory. Builds on the lora skill.
How to install qlora?
itsmostafa/llm-engineering-skills/qlora
$npx -y skills add itsmostafa/llm-engineering-skills --skill qloraInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/itsmostafa/llm-engineering-skills" --skill "itsmostafa/llm-engineering-skills/qlora"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/itsmostafa/llm-engineering-skills" that are relevant to the current task. Run `npx skills add "https://github.com/itsmostafa/llm-engineering-skills"` and select the relevant skills, then follow their instructions.
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