Local AI Advisor

Can Mac mini M2 Pro 32 GB run Muse Glimmer (30B)?

32 GB unified · 200 GB/s memory bandwidth · Muse Glimmer (30B) has 29.6B parameters.

Short answer

Yes, acceptable for chat; not recommended for agentic coding.

Best quantization for chat: Q4_K_M (16 GB of weights) on LM Studio. Generation: 8–10 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.

WorkloadVerdictQuantGenerationFirst replyContext
Chatwith Open WebUIAcceptableQ4_K_M8–10 tok/s≈9 s8KDetails
Coding questionswith ContinueAcceptableQ4_K_M7–10 tok/s≈60 s16KDetails
Coding in a repositorywith AiderBorderlineQ4_K_M7–10 tok/s≈3 min32KDetails
Agentic codingwith OpenCodeTechnically RunsQ4_K_M7–10 tok/s≈4 min32KDetails
Long documents (64K)with Open WebUIBorderlineQ4_K_M7–10 tok/s≈13 min64KDetails

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

Different tool, context size or workload?

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