Is the Implementing LLMs: LitGPT skill free?

Yes. The skill itself is free from Orchestra-Research/AI-Research-SKILLs. SkillProof publishes the install command and an independent test verdict at no cost.

How do I install Implementing LLMs: LitGPT?

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 Implementing LLMs: LitGPT 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.

Implementing LLMs: LitGPT

Implements and fine-tunes LLMs with LitGPT's clean, single-file architectures.

by Orchestra-Research · Orchestra-Research/AI-Research-SKILLs

Tested · Didn't pass

Read why it failed Download source ↗

Test report

Verdict: Tested · Didn't pass
Tested: Jul 12, 2026
Environment: Claude Code 2.x (agent harness)
Upstream re-checked: Aug 10, 2026 · 4fc77cb

Installed cleanly (frontmatter parses, all four reference files present) and triggers accurately on LitGPT fine-tuning/architecture prompts, though its multi-GPU pretraining workflow overlaps the repo's separate torchtitan skill. A/B on a LoRA fine-tune + merge + inference task: the skill's LoRA flags were correct, but by faithfully following SKILL.md it inherited two CLI inaccuracies vs the real litgpt v0.5.13 CLI — it emitted a nonexistent `merge_lora --out_dir` flag and the outdated `--train.learning_rate` (real CLI uses in-place merge and `--optimizer.lr`), both of which the no-skill base got right, so the skill produced a less correct result than base general knowledge. Full workflow needs a GPU plus gated multi-GB model downloads (HF token/license); tested here only on the checkable code/config artifact.

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

Installs cleanly 5/5
Triggers reliably 4/5
Output vs. baseline 3/10
Docs & honesty 3/5

What Implementing LLMs: LitGPT does

Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.

How to install Implementing LLMs: LitGPT

git clone https://github.com/Orchestra-Research/AI-Research-SKILLs
cd AI-Research-SKILLs
mkdir -p ~/.claude/skills
cp -r 01-model-architecture/litgpt ~/.claude/skills/implementing-llms-litgpt

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

Commands — how to trigger Implementing LLMs: LitGPT

/implementing-llms-litgpt Implements and fine-tunes LLMs with LitGPT's clean, single-file architectures.

It also activates on plain-language prompts like these:

Fine-tune Llama with LoRA using LitGPT
Implement a Qwen model with LitGPT for study
Set up QLoRA fine-tuning with LitGPT

Frequently asked questions

Is the Implementing LLMs: LitGPT skill free?: Yes. The skill itself is free from Orchestra-Research/AI-Research-SKILLs. SkillProof publishes the install command and an independent test verdict at no cost.
Does Implementing LLMs: LitGPT work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 12, 2026. Verdict: Tested · Didn't pass. Installed cleanly (frontmatter parses, all four reference files present) and triggers accurately on LitGPT fine-tuning/architecture prompts, though its multi-GPU pretraining workflow overlaps the repo's separate torchtitan skill. A/B on a LoRA fine-tune + merge + inference task: the skill's LoRA flags were correct, but by faithfully following SKILL.md it inherited two CLI inaccuracies vs the real litgpt v0.5.13 CLI — it emitted a nonexistent `merge_lora --out_dir` flag and the outdated `--train.learning_rate` (real CLI uses in-place merge and `--optimizer.lr`), both of which the no-skill base got right, so the skill produced a less correct result than base general knowledge. Full workflow needs a GPU plus gated multi-GB model downloads (HF token/license); tested here only on the checkable code/config artifact.
How do I install Implementing LLMs: LitGPT?: 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 Implementing LLMs: LitGPT 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.