--- title: Muse Glimmer 30B (Local Testing & Review): REALLY GOOD... description: Meta has released Muse Glimmer, a 30B parameter open agentic model optimized for local agent workflows. It excels at reliable tool calling without mangling... canonical: https://daily.dev/posts/muse-glimmer-30b-local-testing-review-really-good-for-local-usage--klwozbzi7 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Muse Glimmer 30B (Local Testing & Review): REALLY GOOD for LOCAL USAGE! | daily.dev og:description: Meta has released Muse Glimmer, a 30B parameter open agentic model optimized for local agent workflows. It excels at reliable tool calling without mangling... og:url: https://daily.dev/posts/muse-glimmer-30b-local-testing-review-really-good-for-local-usage--klwozbzi7 og:image: https://api.daily.dev/og/posts/kLWOzbzI7.png og:image:alt: Muse Glimmer 30B (Local Testing & Review): REALLY GOOD for LOCAL USAGE! og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Muse Glimmer 30B (Local Testing & Review): REALLY GOOD for LOCAL USAGE! **[AICodeKing](https://daily.dev/sources/aicodeking)** · 4 min read · 0 upvotes · 0 comments ## Summary Meta has released Muse Glimmer, a 30B parameter open agentic model optimized for local agent workflows. It excels at reliable tool calling without mangling formats or hallucinating tools, and includes multimodal vision capabilities via a dedicated perception encoder. It runs on a 48GB Mac with 4-bit quantization via LM Studio at full context length. The model is MIT-licensed, a notable improvement over Meta's previous Llama OSL-style licenses. Its main drawback is being a dense model rather than a mixture-of-experts architecture, making it memory-intensive for machines with 16-24GB RAM. It integrates with tools like Hermes agent and open code via local endpoints. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What are the hardware requirements to run Muse Glimmer 30B locally? Muse Glimmer 30B runs well on a Mac with 48GB of unified memory using 4-bit quantization via LM Studio at full context length, with manageable memory usage and usable generation speeds for agentic work. Machines with only 16 or 24GB of RAM will find it a tight fit because it is a dense model with all parameters active simultaneously, not a mixture-of-experts architecture. _Developers sizing up local hardware for running 30B agent models track real-world reports like this on daily.dev._ ### What license does Meta's Muse Glimmer model use? Muse Glimmer is MIT-licensed, which is a significant change from Meta's previous Llama OSL-style licenses. The MIT license imposes no acceptable use policies, no naming requirements, and no other restrictions — you can use the model however you want without any of the conditions attached to earlier Meta model releases. _Teams evaluating open models for commercial or production use find licensing comparisons like this on daily.dev._ ### How does Muse Glimmer 30B perform at tool calling compared to larger models? Muse Glimmer 30B performs reliably at tool calling — it does not mangle tool call formats, does not hallucinate random tools, and selects the correct tool at the right time. This reliability reportedly exceeds what many larger models deliver in agentic workflows. It integrates with setups like Hermes agent and open code via a local endpoint exposed through LM Studio. _Engineers building local agent pipelines and evaluating model reliability for tool calling follow discussions like this on daily.dev._ ## Similar posts on daily.dev - [Muse Glimmer 30B runs on my 32GB GPU, handles its own tool calls, and never leaves the machine](https://daily.dev/posts/muse-glimmer-30b-runs-on-my-32gb-gpu-handles-its-own-tool-calls-and-never-leaves-the-machine-vihln3unw) · XDA Developers · 1 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#local-ai](https://daily.dev/tags/local-ai), [#multimodal](https://daily.dev/tags/multimodal), [#lm-studio](https://daily.dev/tags/lm-studio) [View this post on daily.dev](https://daily.dev/posts/muse-glimmer-30b-local-testing-review-really-good-for-local-usage--klwozbzi7) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Muse Glimmer 30B (Local Testing & Review): REALLY GOOD for LOCAL USAGE!","url":"https://daily.dev/posts/muse-glimmer-30b-local-testing-review-really-good-for-local-usage--klwozbzi7","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/muse-glimmer-30b-local-testing-review-really-good-for-local-usage--klwozbzi7"},"datePublished":"2026-08-11T09:15:40.984Z","dateModified":"2026-08-11T12:12:02.263Z","description":"Meta has released Muse Glimmer, a 30B parameter open agentic model optimized for local agent workflows. 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