nanochat
What it is
nanochat is a minimal, hackable experimental harness for training LLMs on a single GPU node. It covers the full pipeline from tokenization and pretraining to finetuning, evaluation, and inference, allowing users to train a GPT-2 capability model for under $100.
The problem it solves
Training LLMs is traditionally expensive, complex, and requires massive multi-node clusters; nanochat simplifies this to a single-node, low-cost, minimal-code experience.
What you could use it for
- Training a GPT-2 capability LLM on a single 8xH100 GPU node
- Experimenting with LLM training hyperparameters and scaling laws
- Building a custom chatbot from scratch using a minimal codebase
Why it matters
Democratizes LLM training by reducing the cost and complexity of training capable models to a few dollars and a single GPU node, enabling rapid experimentation and education.
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Summary written by an AI model from the source; check the source before you rely on it.