Skip to content
View original post on X: Lewis Tunstall
Published
46/100

Lewis Tunstall praises Recursive's Flint, a sub-100B coding model

AIHugging Face's Lewis Tunstall praises Recursive's release of Flint, calling it proof that sub-100B models can still innovate. He asks to see the time-horizon chart for Flint's training by Eureka, the Eureka Machine, citing an OpenAI image.
Lewis TunstallVerified on X
@_lewtun
View on X

Nice release and proof you can still innovate in the sub-100B regime!

It would be extremely cool to see what the time-horizon chart looks like for the training of Flint by Eureka (image below from OpenAI's internal use). This would be the most compelling evidence that Recursive is living up to it's name :)

Richard Socher@RichardSocher
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
View quoted post on X
Source details

Lewis Tunstall · x.comPublished

Original title: Nice release and proof you can still innovate in the sub-100B regime!