I’m hearing positive noises about the 27B and 35B models for coding tasks that still fit on a 32GB/64GB Mac, and I’ve tried the 9B, 4B and 2B models and found them to be notably effective considering their tiny sizes. That 2B model is just 4.57GB—or as small as 1.27GB quantized—and is a full reasoning and multi-modal (vision) model.
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Offline Transcription (TDT-CTC 110M),推荐阅读下载安装 谷歌浏览器 开启极速安全的 上网之旅。获取更多信息
Where tracing platforms evaluate turn by turn, Cekura evaluates the full session. Imagine a banking agent where the user fails verification in step 1, but the agent hallucinates and proceeds anyway. A turn-based evaluator sees step 3 (address confirmation) and marks it green - the right question was asked. Cekura's judge sees the full transcript and flags the session as failed because verification never succeeded.Try us out at https://www.cekura.ai - 7-day free trial, no credit card required. Paid plans from $30/month.We also put together a product video if you'd like to see it in action: https://www.youtube.com/watch?v=n8FFKv1-nMw. The first minute dives into quick onboarding - and if you want to jump straight to the results, skip to 8:40.Curious what the HN community is doing - how are you testing behavioral regressions in your agents? What failure modes have hurt you most? Happy to dig in below!