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Čeština(CS) Základní parametry Má 30 miliard parametrů a vychází pod licencí Apache 2.0. Je navržený tak, aby běžel lokálně na Macu nebo PC s jednou běžnou spotřebitelskou

Meta releases open-source agentic model Muse Glimmer for local use

By PulseAugur Editorial · [1 sources] ·

Meta has released Muse Glimmer, an open-source agentic model designed for local execution on personal computers and Macs. This 30-billion parameter model, licensed under Apache 2.0, is optimized for "always-on" agent workflows, capable of managing personal data, using tools, and performing multi-step reasoning. Meta trained the model through a three-phase process and utilized quantization and speculative decoding to enable efficient local deployment. AI

IMPACT Enables more sophisticated AI agents to run locally, reducing reliance on cloud infrastructure and potentially increasing privacy.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Meta releases open-source agentic model Muse Glimmer for local use

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0 / 100
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Newsworthiness bucket
Significant
Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
Clearly on-topic for AI-industry coverage.
Story freshness
46 days old
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Čeština(CS) · [email protected] ·

    Base parameters It has 30 billion parameters and is released under the Apache 2.0 license. It is designed to run locally on a Mac or PC with a single consumer-grade

    Základní parametry Má 30 miliard parametrů a vychází pod licencí Apache 2.0. Je navržený tak, aby běžel lokálně na Macu nebo PC s jednou běžnou spotřebitelskou GPU, tedy bez nutnosti připojení k cloudu. Weights jsou dostupné na Hugging Face, integrace pro llama.cpp, MLX a ExecuTo…

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