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After a bit of work (FP8 dequant, some debugging), got Mistral Vibe working on my M3 Max w/ Devstral 2 Small, running locally w/ LMStudio. It worked quite well in a quick demo, as shown below (everything below is happening 100% locally) – video at 4x speed: https://x.com/N8Programs/status/1998591943798882484
Congrats to @MistralAI on the big launch 🚀 You can check out Mistral Vibe in Zed today – just download it and add your API key! https://x.com/zeddotdev/status/1998456122886238589
Devstral 2 beats or ties Deepseek v3.2 71% of the time by third party preference and is smaller/faster/cheaper (esp Small 2) !!! i think there’s a good chance @theo spoke too soon -Mistral is just starting out on a very epic comeback. Nextgen will get >10x compute and i’d bet https://x.com/swyx/status/1998600513538109476
Devstral 2 is #1 trending on @OpenRouterAI! Try it for free in Mistral Vibe: → uv tool install mistral-vibe https://x.com/MistralAI/status/1999124574798217324
Introducing the Devstral 2 coding model family. Two sizes, both open source. Also, meet Mistral Vibe, a native CLI, enabling end-to-end automation. 🧵”” / X https://x.com/MistralAI/status/1998407332502405347
Introducing: Devstral 2 and Mistral Vibe CLI. | Mistral AI https://mistral.ai/news/devstral-2-vibe-cli
Okay this is also sick: the Mistral Vibe CLI bootstraps itself with uv https://x.com/charliermarsh/status/1998447013797458336
Our next-generation coding model family Devstral 2 is available in two sizes: Devstral 2 (123B) under a modified MIT license, and Devstral Small (24B) under Apache 2.0. Both SOTA, open-source, free to use, and available now via our API. https://x.com/MistralAI/status/1998407335308358028
😂Check my own demonstrating of running #AutoGLM on my phone for “”Like the top 3 posts from Andrej Karpathy on X app, and summarize them to me”” @karpathy 🚀You can try ANY AGENT TASKS you want on your Android phone now! https://x.com/ShawLiu12/status/1999123320269402374
The problem with small models is that they are very narrow. Even if they are not built to pass a benchmark, they lack the general reasoning, resilience & knowledge of larger models. That may not matter for some tasks types, but you don’t want a customer service AI to be naive.”” / X https://x.com/emollick/status/1998459579697381694
Massive achievement by @NousResearch To make this clear: this is actually a 3b active parameter model that works on any new MacBook Air/Mini that would be #2 on Putnam, which is harder than IMO Now think of all the tasks that are easier than that (a lot) Implications =>”” / X https://x.com/EMostaque/status/1998686465279025190
i should clarify, no hate on mistral here, i’m really glad they release it in open weight and i’m sure it will be useful for researcher! It’s the comparison on total parameters for dense vs moe that i find very misleading but it’s not something that they advertise heavily (it’s”” / X https://x.com/eliebakouch/status/1998436178714882330
Thanks to the Textual library we were able to build a pretty neat UI for Mistral Vibe in the terminal Looks especially good with Ghostty ✨ https://x.com/onetwoval/status/1998439440797020527
Thats a pretty restrictive license that will make using these Mistral models or building on them impossible for most organizations. Even if you don’t make $20M/month a potential acquirer may. Historically, a lot of labor for open source projects comes from for-profit firms.”” / X https://x.com/emollick/status/1998509960347709842
uv tool install mistral-vibe”” / X https://x.com/qtnx_/status/1998407441256530163
Very excited to release two new open-weight models, Devstral 2 (123B) and Devstral Small 2 (24B), along with Mistral Vibe, a CLI built for Devstral that enables end-to-end code automation! https://x.com/GuillaumeLample/status/1998409211068232119
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