create-llm

Train your own LLM in 60 seconds npm create-next-app for AI

3 followers

Train your own LLM in 60 seconds npm create-next-app for AI

3 followers

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Three months ago, I wanted to train my own LLM. The tutorials were a mess. So I built the tool I wish existed.

Free

Launch tags:Artificial Intelligence•GitHub

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Universal-3 Pro by AssemblyAI — Speech-to-text that finally understands context

Speech-to-text that finally understands context

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Maker

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The Frustration That Started It All It was 2 AM. I’d been reading LLM training tutorials for six hours. One tutorial told me to install 47 dependencies manually. Another assumed I had $10,000 worth of GPUs lying around. A third just… stopped halfway through with “figure out the rest yourself.” I’m a third-year CS student . I don’t have a research lab. I don’t have unlimited cloud credits. I just wanted to understand how these things work by building one myself. That’s when the idea hit me: What if training an LLM was as easy as npx create-next-app? One command. Everything ready. Just start training. That’s how create-llm was born.

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4mo ago

Maker

Hey Product Hunt! 👋

I'm Aniket, a CS student .

Three months ago, I spent 6 hours trying to follow LLM training tutorials. They were either too simple (toy examples) or too complex (assumed I had research labs).

I just wanted to understand how these things work.

So I built create-llm - the tool I wish existed.

🎯 What it does:

Train your own language model in 60 seconds. One command. No setup. Works on any laptop.

🤔 Why it's different:

It doesn't just scaffold code - it TEACHES you. It warns about overfitting, detects config issues, and shows you what went wrong.

The nano template intentionally shows mode collapse with small data. Then you fix it. That's how you learn.

📊 Early traction:

- Live for 1 week

- Active users already training models

- Real-time bug reports and fixes

- Working on M1 Macs, Linux, Windows

🚀 What's next:

Short term: multi-GPU support, better benchmarking

Long term: Cloud training platform (think Vercel for LLMs)

Try it: npx create-llm my-first-llm

I'll be here all day answering questions! Ask me anything about:

- How to train your first model

- Debugging overfitting

- Scaling to larger models

- Contributing to the project

Thanks for checking it out! 🙏

GitHub: https://github.com/theaniketgiri/create-llm

Twitter: https://x.com/theaniketgiri

Report

4mo ago

Universal-3 Pro by AssemblyAI — Speech-to-text that finally understands context

Speech-to-text that finally understands context

Promoted

Maker

📌

Report

4mo ago

Maker

Hey Product Hunt! 👋

I'm Aniket, a CS student .

Three months ago, I spent 6 hours trying to follow LLM training tutorials. They were either too simple (toy examples) or too complex (assumed I had research labs).

I just wanted to understand how these things work.

So I built create-llm - the tool I wish existed.

🎯 What it does:

Train your own language model in 60 seconds. One command. No setup. Works on any laptop.

🤔 Why it's different:

It doesn't just scaffold code - it TEACHES you. It warns about overfitting, detects config issues, and shows you what went wrong.

The nano template intentionally shows mode collapse with small data. Then you fix it. That's how you learn.

📊 Early traction:

- Live for 1 week

- Active users already training models

- Real-time bug reports and fixes

- Working on M1 Macs, Linux, Windows

🚀 What's next:

Short term: multi-GPU support, better benchmarking

Long term: Cloud training platform (think Vercel for LLMs)

Try it: npx create-llm my-first-llm

I'll be here all day answering questions! Ask me anything about:

- How to train your first model

- Debugging overfitting

- Scaling to larger models

- Contributing to the project

Thanks for checking it out! 🙏

GitHub: https://github.com/theaniketgiri/create-llm

Twitter: https://x.com/theaniketgiri

Report

4mo ago