Glimmer stakes out different ground: a dense model with native vision input, trained end-to-end around the agent loop, shipping with its own quantized variants and speculative-decoding drafter.

The company is releasing its 30B Muse Glimmer model for local agentic workloads and will release an open-weight version of Muse Spark 1.2 in the coming weeks.

Meta Superintelligence Labs released Muse Glimmer on Monday, a 30-billion-parameter open-weight model designed specifically for autonomous AI agents — and the first model in its size class ...

Meta Superintelligence Labs has introduced Muse Glimmer, a 30-billion-parameter open-weight model designed for always-on ...

Meta’s Muse Glimmer courts users with local AI control, challenging institutional power. As the debate heats up, controllable on-device AI may become more prevalent.

Meta CEO Mark Zuckerberg introduced Muse Glimmer, a compact open-weight AI model tailored for agentic tasks.

Meta has released Muse Glimmer, a new 30-billion-parameter open-weight AI model designed to run locally on consumer hardware using a single GPU. The model ...

Meta has released the weights of Muse Glimmer, a 30-billion-parameter model built for local AI agents, coding and tool use, and designed to run on a Mac or PC with a single consumer GPU ...

Researchers have designed a large-scale framework to control humanoid robots using inputs ranging from ...

Meta open-sourced Muse Glimmer, a 30B agentic model that runs entirely on a laptop or consumer GPU, free to download under Apache 2.0.

One of the most practical open-source projects by Meta so far is being silently released. The new Muse Glimmer model by Meta Superintelligence Labs is an agentive artificial intelligence architecture ...

Built for always-on local agent workflows, Muse Glimmer runs on a Mac or PC with one consumer GPU.