ai-agent

Automodel: Train LLMs Faster

Name: Automodel: Train LLMs Faster
Author: NVIDIA-NeMo

Train large language models with Pytorch native distributed support.

intermediate⏱ 1-2 hours💵 Free

963 stars318 forksPythonGuide quality 8/10 · reviewed Jun 30Updated 9/21/2026100% free · open source

What it is

Trains large language models using NVIDIA's PyTorch and Hugging Face technology.

Real use case example

"A solo developer, Alex, wants to create a chat interface on their website. They write a script to fine-tune a pre-trained LLM with GPT-3 using this skill, then integrate the model into their site using NVIDIA's PyTorch and Hugging Face. After a few hours of work, Alex has a functioning chat interface that understands their users' queries."

Best insideClaude Desktop

When to use it

•When you need to train large language models quickly and efficiently
•When you want to leverage Pytorch's native distributed support for scaling your AI models
•When you're working with Hugging Face models and want a streamlined training process

Ready-to-paste prompt

python automodel/train.py --config configs/example_config.json --model_name my_large_language_model

Heads up: Ensure you have the correct version of Pytorch installed, as Automodel relies on Pytorch's native distributed support, and incompatible versions may cause issues

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/automodel && curl -fsSL https://workflowstacks.com/api/skills/automodel/claude-skill -o ~/.claude/skills/automodel/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

100.4M

source size

Apache-2.0

license

Key files

.pre-commit-config.yaml

AGENTS.md

README.md

File tree

.agents/

.claude/

.github/

docker/

docs/

examples/

nemo_automodel/

scripts/

skills/

tests/

tools/

tutorials/

.dockerignore

.flake8

.gitignore

.pre-commit-config.yaml

.pylintrc

.python-version

AGENTS.md

app.py

CLAUDE.md

codecov.yml

CONTRIBUTING.md

LICENSE

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/automodel && curl -fsSL https://workflowstacks.com/api/skills/automodel/claude-skill -o ~/.claude/skills/automodel/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

NVIDIA-NeMo

Language

Python

Do this with a working workflow

Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.

Free n8n template

AI Support Agent (Chat)

A chat agent that answers customer questions from YOUR business info — with conversation memory. It never invents policies; anything it doesn't know, it hands to a human.

MCP config