Just searched, jev will soon have a bunch of alternatives
Found SemIf, a Qwen3.5-4B based alternative to Jev that needs no training, matches its accuracy, and runs locally on a MacBook.
The original post, translated
Just searched, jev will soon have a bunch of alternatives to Semif to look at, using Qwen3.5-4B, no training needed, can achieve the same accuracy, and it's cheaper. Can be deployed locally on a MacBook easily. LLMs are already well-trained things, there's really no need to build new ones yourself. https:// github.com/TheoLeeCJ/SemIf https:// benchmarkheaven.com/jev-models
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刚搜了下,jev 马上就有一大堆替代 Semif 可以看看,用Qwen3.5-4B,无需训练,就可以做到一样的准确率,而且更便宜。macbook 本地随便部署。 LLM 已经是训练的很好的东西,真没必要再自造新的。 https:// github.com/TheoLeeCJ/SemIf https:// benchmarkheaven.com/jev-models
The post above is a machine translation from zh; the untranslated text is in the fold-out.
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under coding & developer tools. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the coding & developer tools page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post