Is the LoRA Fine-Tuning skill free?

Yes. The skill itself is free from itsmostafa/llm-engineering-skills. SkillProof publishes the install command and an independent test verdict at no cost.

What is the LoRA Fine-Tuning SkillProof Score?

9.2/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 5/5.

How do I install LoRA Fine-Tuning?

Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.

Can I use LoRA Fine-Tuning with Cursor, Copilot, Gemini CLI, Codex or other AI tools?

The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.

LoRA Fine-Tuning

PEFT/LoRA and QLoRA config recipes for fine-tuning LLMs on limited GPU memory.

by itsmostafa · itsmostafa/llm-engineering-skills

Tested · Works

Install — copy the command Download source ↗

Test report

Verdict: Tested · Works
Score: 9.2/10
Tested: Jul 14, 2026
Environment: Claude Code 2.x (agent harness)
Upstream re-checked: Aug 10, 2026 · dcb61ec

Following the skill over a freehand LoRA answer produced checkable wins: all attention+MLP target_modules instead of just q/v, the alpha=2×r heuristic spelled out, and an explicit 'merge on CPU' step that dodges a common OOM trap the baseline answer walked right into.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

Installs cleanly 5/5
Triggers reliably 5/5
Output vs. baseline 8/10
Docs & honesty 5/5

What LoRA Fine-Tuning does

Gives concrete LoraConfig/QLoRA recipes (rank, alpha, target_modules, memory tables) for fine-tuning LLMs with Hugging Face transformers, peft, and TRL. Triggers on requests to fine-tune a model under GPU memory constraints, build task-specific adapters, or run QLoRA on consumer hardware.

How to install LoRA Fine-Tuning

git clone https://github.com/itsmostafa/llm-engineering-skills
cd llm-engineering-skills
mkdir -p ~/.claude/skills
cp -r skills/lora ~/.claude/skills/lora

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger LoRA Fine-Tuning

/lora PEFT/LoRA and QLoRA config recipes for fine-tuning LLMs on limited GPU memory.

It also activates on plain-language prompts like these:

Give me a QLoRA config to fine-tune Llama 3.1 8B on one GPU
What rank and alpha should I use for fine-tuning this model?
Help me fine-tune an LLM on 24GB of VRAM without hitting OOM

Frequently asked questions

Is the LoRA Fine-Tuning skill free?: Yes. The skill itself is free from itsmostafa/llm-engineering-skills. SkillProof publishes the install command and an independent test verdict at no cost.
Does LoRA Fine-Tuning work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 14, 2026. Verdict: Tested · Works. Following the skill over a freehand LoRA answer produced checkable wins: all attention+MLP target_modules instead of just q/v, the alpha=2×r heuristic spelled out, and an explicit 'merge on CPU' step that dodges a common OOM trap the baseline answer walked right into.
What is the LoRA Fine-Tuning SkillProof Score?: 9.2/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 5/5.
How do I install LoRA Fine-Tuning?: Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use LoRA Fine-Tuning with Cursor, Copilot, Gemini CLI, Codex or other AI tools?: The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.