RT by @ylecun: excited to be releasing open weights for muse glimmer today, a 30b model that runs…

TL;DR - Meta is releasing open weights for Muse Glimmer, a 30B dense model small enough to run on a single consumer GPU, with weights for its larger Muse Spark 1.2 foundation model promised soon. It signals Meta's continued push to put frontier-adjacent models directly into practitioners' hands.

• Muse Glimmer is a 30B-parameter dense (not MoE) model, positioned for local/single-consumer-GPU inference — implying quantized deployment is the intended path at that size.
• Muse Spark 1.2 is described as Meta's "latest foundation model" and a deliberately different design point from Glimmer; weights are announced but not yet available.
• Framed as a two-tier open-weights strategy: a compact locally-runnable model plus a larger flagship, with "more to come."
• Content is a promotional announcement amplified by Zuckerberg and retweeted by LeCun — no benchmarks, training details, license terms, or eval results are given, so capability claims are unverified.