Posted Aug 10, 2026 at 10:46 AM UTCJExternal LinkMeta has a new open-weight AI model.Muse Glimmer — essentially an open-weight version of Meta’s Muse Spark — is a 30 billion parameter model that can run on a Mac or PC with a single graphics card, allowing users to generate code, text, and images. While bigger parameter counts doesn’t necessarily mean better performance, Glimmer’s 30 billion is notably smaller than models from Chinese rivals, including Alibaba’s Qwen3.8-Max (2.4 trillion) and Moonshot AI’s Kimi K3 (2.8 trillion).Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.Jess Weatherbed
Meta has a new open-weight AI model.
Muse Glimmer — essentially an open-weight version of Meta’s Muse Spark — is a 30 billion parameter model that can run on a Mac or PC with a single graphics card, allowing users to generate code, text, and images. While bigger parameter counts doesn’t necessarily mean better performance, Glimmer’s 30 billion is notably smaller than models from Chinese rivals, including Alibaba’s Qwen3.8-Max (2.4 trillion) and Moonshot AI’s Kimi K3 (2.8 trillion). [Link: Introducing Muse Glimmer: An Open Agentic Model That Runs on Your Device | https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model | Meta AI Research]
TL;DRAI
Meta releases Muse Glimmer: a 30B open-weight model for code/text/image generation on single-GPU consumer hardware. Open-weight accessibility shifts AI from cloud to edge, cutting inference costs and enabling on-premise deployment for regulated teams.
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