Mistral Vibe + Devstral2 Small：本地LLM性能
分析
这篇文章重点介绍了本地使用Mistral Vibe和Devstral2 Small的积极体验。用户称赞了它的易用性、在多个GPU上处理完整上下文（256k）的能力以及快速的处理速度（2000 tokens/s PP, 40 tokens/s TG）。用户还提到了配置大型模型（如gpt120）的简易性，并表示此设置正在取代之前的设置（roo）。这篇文章是来自论坛的用户评论，侧重于实际性能和易用性，而不是技术细节。
要点
引用 / 来源
查看原文"“I assumed all these TUIs were much of a muchness so was in no great hurry to try this one. I dunno if it's the magic of being native but... it just works. Close to zero donkeying around. Can run full context (256k) on 3 cards @ Q4KL. It does around 2000t/s PP, 40t/s TG. Wanna run gpt120, too? Slap 3 lines into config.toml and job done. This is probably replacing roo for me.”"