Zuck rekindles open weights Llama drama with Muse Glimmer
30-billion parameter LLM, Meta's first in more than a year, signals Meta's return to the open weights arena. Open version of Muse Spark to follow
Meta has reignited its open weights Llama drama with the launch of Muse Glimmer, a 30 billion-parameter model released after seemingly abandoning its open source AI roots earlier this year. Muse Glimmer is a distilled version of Meta's proprietary Muse Spark model, aimed at local AI inference workloads such as local agents, code assistants, and applications requiring robust multi-modal tool use and function calling.
The model is released under a highly permissive Apache 2.0 license, allowing enterprises to deploy, use, and modify it as they see fit. Although 30 billion parameters, Muse Glimmer is considered small compared to other Chinese models dominating the AI news cycle, such as Moonshot AI's Kimi K3, Alibaba's Qwen 3.8-Max, and DeepSeek V4 Flash.
Instead, it is positioned for small-to-medium-sized enterprises or enthusiasts, competing with similarly-sized LLMs from Alibaba and Google.
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