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Developer makes Jev autoregressive with a 254-token vocabulary

The author built a 254-token vocabulary from a trimmed GPT-2 set so Jev outputs one token at a time, with limited results and poor coherence.

Kyle Jeong
@kylejeongArchived 2026.09.18Originally posted 2026.09.17
Kyle Jeong @kylejeongOriginally posted 2026.09.17
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you can turn Jev auto-regressive using a 254 token library this uses a derivative of the original GPT-2 set (removed things like "ing" since Jev had trouble generating full words and just kept repeating itself) it's quite limited in tokens albeit so don't mind the incoherence

This post quotes another post: “Building an LLM from first principles with 29 Jev yes/no questions”

x.com/kylejeong/status/2100320242895552791Archived 2026.09.18 10:16