JevTracks
The Jev demo generates text using a reduced vocabulary of 254 tokens based on a trimmed GPT-2 token set that removes problematic fragments. It generates text by selecting one token at a time and feeding each choice back into the model to generate the next token.
Discovered , refreshed . Descriptions and stats are pulled from the project's own X post and refreshed automatically — they aren't independently verified by JevTracks beyond the initial eligibility check.