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[ARTICLE · art-92744] src=pac.commonsware.com ↗ pub= topic=large-language-models verified=true sentiment=· neutral

Not Much of a Glimmer

Meta's open-weights Muse-Glimmer model, run locally via Ollama on a 64GB M2 Ultra Mac Studio, took more than twice as long as Qwen 3.6 to complete a documentation-review prompt and produced a small fraction of the output, leading the reviewer to conclude it has limited use for coding agents. The reviewer may next test NVIDIA's Nemotron 3.5 Lightning, though NVIDIA's benchmarks rank it lower than Qwen 3.6 at coding tasks.

read1 min views1 publishedAug 11, 2026

Meta recently released Muse-Glimmer, an open-weights/open source model sized for commodity hardware.

I downloaded the Ollama muse-glimmer:30b-mxfp8-dflash edition onto my 64GB M2 Ultra Mac Studio. mxfp8

is a less-aggressive compression model than I usually employ on that machine (nvfp4

). dflash

uses a predictive algorithm to help improve speed, supposedly.

I then had Muse-Glimmer run the same documentation-review prompt that I had Qwen 3.6 run previously, covered in my preceding issue. Muse-Glimmer ran more than twice as long and came up with a small fraction of what Qwen did.

Muse-Glimmer may have uses, but I suspect that few of those will tie into coding agents.

I might give NVIDIA's Nemotron 3.5 Lightning a shot, though NVIDIA's own benchmarks have it lower at coding tasks than Qwen 3.6.

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