jevIMAGE
Ollama 式本地跑 Jev 决策模型:Laya 实测 8–10ms
有人把 Jev 风格决策模型搬到本地,输入文本或 JSON 直接输出结构化决策,RTX 4090 上 5 个问题约 8–10ms。
nokia
@Kia_kkk20042026.09.28收录原推发布于 2026.09.27

nokia @Kia_kkk2004原推发布于 2026.09.27
Ollama just got a new job run decision models locally Ollaya is basically bringing the Ollama idea to Jev-style decision models text or JSON in typed decision out no token-by-token generation Laya reports ~8–10ms for 5 questions on an RTX 4090 but here’s the catch Jev’s API is already so cheap that I’ve been using it a lot and still haven’t burned through my $5 so local isn’t automatically better the interesting part is that decision models are becoming something you can run, own and customize yourself LLMs had their Ollama moment decision models might be having theirs now
x.com/kia_kkk2004/status/2104094957988372856采集于 2026.09.28 10:03