This is the Linux app named nanochat whose latest release can be downloaded as nanochatsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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nanochat
DESCRIPTION
nanochat is a from-scratch, end-to-end “mini ChatGPT” that shows the entire path from raw text to a chatty web app in one small, dependency-lean codebase. The repository stitches together every stage of the lifecycle: tokenizer training, pretraining a Transformer on a large web corpus, mid-training on dialogue and multiple-choice tasks, supervised fine-tuning, optional reinforcement learning for alignment, and finally efficient inference with caching. Its north star is approachability and speed: you can boot a fresh GPU box and drive the whole pipeline via a single script, producing a usable chat model in hours and a clear markdown report of what happened. The code is written to be read—concise training loops, transparent configs, and minimal wrappers—so you can audit each step, tweak it, and rerun without getting lost in framework indirection.
Features
- One-script “speedrun” from clean machine to chat model
- Full pipeline coverage: tokenizer, pretrain, SFT, optional RL, inference
- Minimal, readable training loops and configs for easy modification
- Web UI and CLI chat frontends with streaming responses
- Efficient inference with KV caching and throughput-friendly batching
- Automatic run artifacts and markdown reports for reproducibility
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/nanochat.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
