Meta’s Muse Glimmer 30B has been getting attention in local inference circles, and we wanted to know what it actually takes to run it on your own hardware. This article is not a review of the model’s reasoning or coding quality. We are strictly looking at hardware behavior. VRAM usage, context scaling, prompt processing speed, and token generation speed. The goal is simple:
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