Two additional baguette models released, including a 600M model said to power the Paris subway
The author claims their synthetic environment generalizes across benchmarks, including in telecommunications and healthcare, with results close to Qwen 0.6B.
TLDR
In an October 1 thread, the author announced two more baguette models, including a 600M model they say powers the Paris subway. They claim their synthetic environment generalizes across benchmarks, with results close to Qwen 0.6B at a fraction of the training cost. They also report that epistemic calibration—recognizing what a model doesn’t know—emerges from 300M parameters onward, and say SYNTH has been downloaded half a million times.
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