Can MacBook Pro M4 32 GB run Muse Glimmer (30B)?

32 GB unified · 120 GB/s memory bandwidth · Muse Glimmer (30B) has 29.6B parameters.

Short answer

Yes, acceptable for chat; not recommended for coding in a repository.

Best quantization for chat: Q4_K_M (16 GB of weights) on LM Studio. Generation: 4.5–6 tok/s, leaving about 7.3 GB free for your other apps.

How it rates for each workload

Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.

Workload	Verdict	Quant	Generation	First reply	Context
Chatwith Open WebUI	Acceptable	Q4_K_M	4.5–6 tok/s	≈15 s	8K	Details
Coding questionswith Continue	Borderline	Q4_K_M	4.4–6 tok/s	≈2 min	16K	Details
Coding in a repositorywith Aider	Technically Runs	Q4_K_M	4.4–6 tok/s	≈5 min	32K	Details
Agentic codingwith OpenCode	Technically Runs	Q4_K_M	4.4–6 tok/s	≈6 min	32K	Details
Long documents (64K)with Open WebUI	Borderline	Q4_K_M	4.3–6 tok/s	≈20 min	64K	Details

Speeds are estimates calibrated against measured benchmarks on similar hardware. “First reply” is the time to read the workload’s opening prompt. How we calculate

Other models for MacBook Pro M4 32 GB

The best-rated models for chat on this machine.

Everything MacBook Pro M4 32 GB can run

Cheapest machines for Muse Glimmer (30B)

Hardware rated comfortable or better for chat, lowest price first.

Same chip, other memory: 16 GB, 24 GB

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.

Open sourceCheck my exact setup