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1 Sep 21 3:11 AM · 5d ago · 1 article · 2 posts · 3 sources · development 1 of 2
The release is posted to Hacker News by user tosh (103 points, 52 comments) and picked up by an HN frontpage RSS aggregator and Mastodon bot accounts reposting the link.
“Kev is a family of small decision models built on Qwen3.5 and based on the architecture described in Jev's Architecture Unmasked.”
jaredpalmer/kev README, project documentation · hn ↗jaredpalmer Creator of the Kev model familytosh Hacker News submitterTypeSafe Maker of System One, the API Kev's interface matchesJev Prior/proprietary decision model referenced for comparison
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Reported in the same hours no headline names this development itself — these 1 claim were published in its stretch
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first by HN Best, 5d ago · also HN Frontpage
What people said 4 voices · verbatim
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I think a great use case for these will be when they have large context windows and are able to enforce styling rules for frontend development, and component creation rules for react. You can then ditch the styles guides and styling skills and create a decision tree for enforcing styling, so that you can't run into drift issues or duplication…
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On Gemma 4 12B, I am getting 220 ms per move or QS. I used it to play the Snake game locally:prompt_eval=244 ms wall=245 ms schema_cache=hit generated=0Move limit reached after 200 moves: score=16, length=19.So, if a 12B dense model can offer this latency on a local old PC, then definitely you can scale it up with more powerful machines and get…
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Quite impressed by the energy people are putting into making OSS Jev-like models.I understand the hype but I wonder: what are the use cases for this kind of model? Could it be used in the context of coding agents, or is it more relevant in totally different situations?
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Bit of a Jev explosion going on. Is it because it's taking us back to a simpler time we understand better? Classification models have been around for a while.
All 2 developments of jaredpalmer releases Kev, a small Qwen3.5-based decision… →
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