Sign inGet started
Dataset · Hugging Face

ArchaeonSeq/nanochat

nanochat nanochat is the simplest experimental harness for training LLMs. It is designed to run on a single GPU node, the code is minimal/hackable, and it covers all major LLM stages including tokenization, pretraining, finetuning, evaluation, inference, and a chat UI. For example, you can train your own GPT-2 capability LLM (which cost $43,000 to train in 2019) for only $48 (2 hours of 8XH100 GPU node) and then talk to it in a familiar ChatGPT-like web UI. On a spot instance… See the full description on the dataset page: https://huggingface.co/datasets/ArchaeonSeq/nanochat.

Author / organizationArchaeonSeq
Downloads662 (as reported by Hugging Face)
Likes0
Created30 April 2026
Last updated at source2 September 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/b942de64-5e3d-49f7-a889-c915079bb1b0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

662 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.