Luca Soldaini 🎀

@soldaini.net

I like tokens! Leading the Olmo data team at @ai2.bsky.social with @kylelo.bsky.social // all opinions sampled from my own stochastic parrot more at https://soldaini.net

I've silenced all notifications on all my devices and it's truly the best thing ever ...I am considering allowing calendar notifications tho cuz I almost missed 3 meetings already 😅

I am still perpetually in awe that skill emergence exists in language models million of caveats but we have models that pick up capabilities from plain text??? it's so magical, I can't believe we got such treat

Summary of our recommendation we submitted to White House to ensure success of open & transparent AI As a meta point, I’m very grateful to be in a position where I can put my technical expertise in the service of policy needs 🥰

Ai2@ai2.bsky.social · last yr.

We submitted a recommendation to the Office of Science and Technology Policy encouraging them to prioritize a multi-stakeholder, open-source AI ecosystem. You can read our blog post and comment here: allenai.org/blog/OSTP

Best part of this that Luca isn’t highlighting to start is that we trained a way better OLMoE for this too. All from better annealing and post train. Didn’t need to redo pre training. Goes to show how much potential these models have! new instruct model: huggingface.co/allenai/OLMo...

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Luca Soldaini 🎀@soldaini.net · last yr.

They made me do video 😬 but for a good reason! We are launching an iOS app–it runs OLMoE locally 📱 We're gonna see more on-device AI in 2025, and wanted to offer a simple way to prototype with it App: apps.apple.com/us/app/ai2-o... Code: github.com/allenai/OLMo... Blog: allenai.org/blog/olmoe-app

Here is Tülu 3 405B 🐫 our open-source post-training model that surpasses the performance of DeepSeek-V3! It demonstrates that our recipe, which includes RVLR scales to 405B - with performance on par with GPT-4o, & surpassing prior open-weight post-trained models of the same size including Llama 3.1.

The logo for Tülu 405B.

Do people have a sandboxed code execution setup for LLM verifiers they like? My current prototype is Docker + Google Cloud Run; if I keep cache warm, startup is about 600 ms. Firewall to block any network egress from container. Would appreciate something with lower latency