implementing-llms-litgpt SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.
implementing-llms-litgpt from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/implementing-llms-litgpt@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
01-model-architecture/litgpt/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0.0, committed Nov 20, 2025
- First version recorded
- Nov 20, 2025
- Size
- 11,010 bytes
- Repository stars
- 13,718
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LitGPT - Clean LLM Implementations
## Quick start
LitGPT provides 20+ pretrained LLM implementations with clean, readable code and production-ready training workflows.
**Installation**:
```bash
pip install 'litgpt[extra]'
```
**Load and use any model**:
```python
from litgpt import LLM
# Load pretrained model
llm = LLM.load("microsoft/phi-2")
# Generate text
result = llm.generate(
"What is the capital of France?",
max_new_tokens=50,
temperature=0.7
)
print(result)
```
**List available models**:
```bash
litgpt download list
```
## Common workflows
### Workflow 1: Fine-tune on custom dataset
Copy this checklist:
```
Fine-Tuning Setup:
- [ ] Step 1: Download pretrained model
- [ ] Step 2: Prepare dataset
- [ ] Step 3: Configure training
- [ ] Step 4: Run fine-tuning
```
**Step 1: Download pretrained model**
```bash
# Download Llama 3 8B
litgpt download meta-llama/Meta-Llama-3-8B
# Download Phi-2 (smaller, faster)
litgpt download microsoft/phi-2
# Download Gemma 2B
litgpt download google/gemma-2b
```
Models are saved to `checkpoints/` directory.
**Step 2: Prepare dataset**
LitGPT supports multiple formats:
**Alpaca format** (instruction-response):
…Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/implementing-llms-litgpt@sha256:523f0b786c915af2The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_lbnbs3c372tnhorz)
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Versions
The registry has recorded 5 versions of this file, all committed on Nov 20, 2025.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2025-11-20 | 0a9ded4 | 11,010 B | A | view · diff |
| v1.0.0 | 2025-11-20 | 72c8b2c | 11,010 B | A | view · diff |
| v1.0.0 | 2025-11-20 | f38509b | 11,009 B | A | view · diff |
| v1.0.0 | 2025-11-20 | a722d86 | 11,119 B | A | view · diff |
| v1.0.0 | 2025-11-20 | 78ba0e4 | 11,057 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11010 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_lbnbs3c372tnhorz GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/implementing-llms-litgpt GET https://markdownregistry.com/api/v1/blob/523f0b786c915af20a7980857e174b838e4440afe851bd16917ef69f8042adb2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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