Run Muse Spark Open on M5 Ultra

The LLMCheck index estimates Muse Spark Open at ~31 tok/s on an M5 Ultra at oQ3e, scaled from its published M3 Ultra run with the published bandwidth model, not a measured run on this chip. It needs about 342 GB of unified memory. It is Meta's 816B mixture-of-experts model (42B active), released under the Muse Model License licence.

Speed
estimated~31
tok/s
First Token
—
seconds
RAM Needed
342
GB minimum
Engine
MLX
of this figure
Want to run Muse Spark Open faster — or step up to bigger models? Find your Mac →

The figure

This is an LLMCheck index estimate from its published two-term bandwidth model, not a measured run; the index labels it so everywhere it appears. Own this Mac? Submit a real run →

MetricValue
Tokens per secondestimated~31 tok/s
Provenanceestimate · how estimates are made
QuantizationoQ3e
EngineMLX
Figure dated2026-10
Minimum RAM342 GB
Parameters816B MoE (42B active)
Chip bandwidth1228 GB/s

Every figure for Muse Spark Open on the M5 Ultra

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 (342 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
estimated31 tok/soQ3eMLX512 GB—LLMCheck estimator—
Provenance key
sourced
Published figure — vendor or press review
estimated
community
Linked individual run — blog, forum or submission

Setup: run Muse Spark Open on a Mac

Ollama — the index has not verified an Ollama tag for Muse Spark Open, 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: Hugging Face repo → · model card →

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

Muse Spark Open on other Apple Silicon chips

ChipSpeedQuantEngineBandwidth
M3 Ultrasourced18 tok/sQ2_Kllama.cpp819 GB/s

About Muse Spark Open

Meta's open-weight Muse Spark (weights 15 Oct 2026): an 816B MoE with 42B active, 1M context and text, image, video and audio input, under the Muse Model License (products must show a 'Built with Muse Spark Open' credit; API hosts above $20M revenue need a separate agreement). One 512 GB Mac Studio runs it at 2–3-bit: Hugging Face's launch post reports 21 tok/s (oQ3e, MLX) and 18 tok/s (Q2_K, llama.cpp b11671+) on an M3 Ultra, while 4-bit needs two Macs. Ollama and LM Studio offer it cloud-only.

Muse Model License licence · 816B MoE · 1000K context · LLMCheck capability 49/50 · see its leaderboard rank →

System requirements

Macs with the M5 Ultra

🛒 Get a Mac that runs Muse Spark Open

Muse Spark Open needs about 342 GB of unified memory. These current Apple Silicon Macs have the headroom to run it comfortably:

As an Amazon Associate, LLMCheck earns from qualifying purchases. These affiliate links cost you nothing extra and help keep the LLMCheck index free.

Compare More Models

See how Muse Spark Open stacks up against other models on your specific Mac hardware.

Open Compare Tool Full Leaderboard