We took our most efficient model and made an open-source iOS app📱but why? As phones get faster, more AI will happen on device. With OLMoE, researchers, developers, and users can get a feel for this future: fully private LLMs, available anytime. Learn more from Luca Soldaini 🎀👇

If you have an iPhone 15 Pro or later, or iPad with Apple Silicon, download OLMoE now: If you’re a researcher or iOS dev, head over to GitHub: Our code works with any GGUF model. Use it as the starting point for your new app!

Finally… bonus release 🎉 We refreshed our models using OLMo 2 mid-training and Tülu 3 post-training recipes! OLMoE-0125 bests OLMoE-0924 by 8.4 points on average, and OLMoE-0125-Instruct is 12.6 points better. All artifacts available on Hugging Face 🤗

For more behind-the-scenes, head over to our blog: We can't wait to hear how you are using OLMoE! Let us know on Discord 👀

A year ago, I saw some clients struggling with fragmented data and slow decision-making, holding their business back. 🌍 But what if there was a way to harmonize everything—processes, data, and AI—to move smarter and faster? That’s why I’m interested in @SAP’s upcoming event.

@soldni Things are getting out of hand 😅

@soldni You guys set the bar really high about how to do a model release👏 The app in swift being apache 2 is even more impressive. One gripe I have is prioritising llama.cpp with no mlx support, but no doubt it's in the pipeline and now that it's out I'm sure it'll follow in no time

@soldni brb buying an iPhone 16 Pro

chat what's happening with those brows tho👀

@soldni Please make a version for Android although it is not easy the diversity of hardware is also a positive thing, there are devices with more power of execution on the iphone

@soldni running olmoe on my ipad pro 🏃🏻‍♂️

@soldni Finally a good reason to upgrade from my old iPhone 12 to a new one !!