Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
Jev Appears to Be Based on Qwen
An observation suggests Jev may be built on Qwen, yet little public information exists on how it was trained, whether it was pretrained from scratch, or what backbone it uses.
Interesting finding: Jev appears to be based on Qwen. Despite being presented as a new “decision model,” there’s very little public information about how Jev was actually trained, whether it was pretrained from scratch, or what backbone it uses. Some signs point toward Qwen
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This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
