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nanochat

calendar_todayAdded Feb 22, 2026
categoryModel & Inference Framework
codeOpen Source
PythonPyTorch大语言模型TransformersCLIModel & Inference FrameworkDeveloper Tools & CodingModel Training & Inference

A minimal, hackable experimental harness for training LLMs on a single GPU node, covering all stages from pretraining to a ChatGPT-like UI.

One-Minute Overview#

nanochat is a simple experimental harness for training LLMs on a single GPU node. It allows training a GPT-2 capability model for approximately $72 (3 hours on 8xH100).

Quick Start#

  • Training (8xH100): Execute runs/speedrun.sh.
  • CPU/MPS: Execute runs/runcpu.sh.
  • Chat UI: Run python -m scripts.chat_web.

Key Capabilities#

  • Covers all major LLM stages: tokenization, pretraining, finetuning, evaluation, and inference.
  • Includes a familiar ChatGPT-like web UI.

Tech Stack & Integration#

  • Language: Python
  • Framework: PyTorch
  • License: MIT

Maintenance#

  • Status: Active
  • Last Commit: 2026-02-05

License#

MIT

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