Run Muse Glimmer 30B on M4 Max

Muse Glimmer 30B runs at 24 tok/s on a 48 GB M4 Max, a published figure reported by huggingface.co (MLX, Q4_K_M). It needs about 18 GB of unified memory. It is Meta's 30B dense model, released under the Apache 2.0 licence.

Speed
sourced24
tok/s
First Token
sourced0.5
seconds
RAM Needed
18
GB minimum
Engine
MLX
of this figure
Want to run Muse Glimmer 30B faster — or step up to bigger models? Find your Mac →

The figure

This is a published figure: a real run, reported by its source and linked below. The index records it as given and never adjusts it.

MetricValue
Tokens per secondsourced24 tok/s
Provenancepublished figure · huggingface.co
QuantizationQ4_K_M
EngineMLX
Time to first token0.5s
Figure dated2026-08
Minimum RAM18 GB
Parameters30B
Chip bandwidth546 GB/s

Every figure for Muse Glimmer 30B on the M4 Max

Each row as the index holds it, with its source. “Mac RAM” is the memory of the Mac a run used, not the model’s requirement (18 GB). The headline figure follows the reference rule: the lower-median measured plain-decode run at 5 bits or fewer (a run whose quant was not stated counts only when no stated-quant run qualifies), else the estimate; a run marked “not used to anchor estimates” is listed here but never becomes the headline.

SpeedQuantEngineMac RAMContextSourceNote
sourced24 tok/sQ4_K_MMLX48 GB—huggingface.co—
Provenance key
sourced
Published figure — vendor or press review
estimated
community
Linked individual run — blog, forum or submission

Setup: run Muse Glimmer 30B on a Mac

Ollama — the index has not verified an Ollama tag for Muse Glimmer 30B, so it doesn’t print one (a guessed tag fails with “pull model manifest: file does not exist”). Search the Ollama library →

MLX — pick a build from Hugging Face’s MLX listings, then run it with its repo id:

pip install -U mlx-lm
mlx_lm.generate --model <repo-id> --prompt "Hello"

Downloads: Search the Ollama library → · model card →

The 24 tok/s figure above came from MLX at Q4_K_M; other runtimes and quants run at different speeds.

Prefer a GUI? LM Studio downloads GGUF and MLX builds in one click. Step by step: install Ollama on a Mac.

Muse Glimmer 30B on other Apple Silicon chips

ChipSpeedQuantEngineBandwidth
M5 Maxsourced27 tok/sQ4_K_MMLX614 GB/s
M4 Procommunity10 tok/sQ4_K_MLM Studio273 GB/s
M6community9 tok/squantization not statedLM Studio170 GB/s

About Muse Glimmer 30B

Meta's 30B model, ~27 tok/s on M5 Max. Apache 2.0 license, LLMCheck capability 42/50.

Apache 2.0 licence · 30B · 131K context · LLMCheck capability 42/50 · see its leaderboard rank →

System requirements

Macs with the M4 Max

🛒 Get a Mac that runs Muse Glimmer 30B

Muse Glimmer 30B needs about 18 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

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