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tsotchke/gpt2-basic

Portable machine intelligence in BASIC: a QEMU-verified DOS/486 transformer and assistant runtime with fixed-point inference, hot-swappable local model packs, sharded recall indexes, and release bundles for legacy and constrained systems.

#LLM inference
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Python
34
5
1 contributors
MIT License
website
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Momentum

How fast tsotchke/gpt2-basic is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 20 – Oct 26, 2026

Stars +1 in 7 days

01
1

Forks +2 in 7 days

012
2

Merged PRs 0 in 7 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 20Oct 21Oct 22Oct 23Oct 24Oct 25Oct 26
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Tue, Oct 20, 2026+1+00
Wed, Oct 21, 2026+0+00
Thu, Oct 22, 2026+0+00
Fri, Oct 23, 2026+0+20
Sat, Oct 24, 2026+0+00
Sun, Oct 25, 2026+0+00
Mon, Oct 26, 2026+0+00
Total+1+20
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. May 191 post
    • can you run an LLM on a 486? yes, with less than 32mb of RAM. local inference on CPU, on 33 year old hardware. try it yourself on a real machine.

      Read full on X, posted by @tsotchke

      @tsotchke · x.com

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