Announcement_9

I helped train IFM’s suite of fully open-source language models, coming in sizes from 0.9B to 375B! We also developed Uno, a lossless discrete diffusion framework which accelerates decoding by up to 2.5x compared to autoregressive sampling. We provide Uno adapters for Qwen3-8B and our own 0.9B and 7B models. Check out the paper: Unlocking Lossless Speedups in LLMs via Discrete Diffusion.