Meta open-sources 30B model Muse Glimmer, runs locally on 18GB of memory
Meta open-sources Muse Glimmer, a 30B-parameter dense model that runs on local devices with 18GB of memory, uses the Apache 2.0 license and supports vision. Mark Zuckerberg calls it the strongest agent model at its size and says the weights of the latest foundation model Muse Spark 1.2 will also be open-sourced later. Unsloth already provides a GGUF version of the model along with running and training guides.
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Meta open-sources a 30B dense model that runs locally on 18GB of memory and supports vision, letting readers gauge the local deployment threshold.
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View original postToday we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.
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Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.
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