Local AI Advisor

Can MacBook Pro M5 Max 36 GB run Muse Glimmer (30B)?

36 GB unified · 460 GB/s memory bandwidth · Muse Glimmer (30B) has 29.6B parameters.

Short answer

Yes, comfortable for chat and acceptable or better for every workload we test.

Best quantization for chat: Q4_K_M (16 GB of weights) on LM Studio. Generation: 14–25 tok/s, leaving about 11 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 WebUIComfortableQ4_K_M14–25 tok/s≈2 s8KDetails
Coding questionswith ContinueComfortableQ4_K_M13–20 tok/s≈8 s16KDetails
Coding in a repositorywith AiderAcceptableQ4_K_M13–20 tok/s≈25 s32KDetails
Agentic codingwith OpenCodeAcceptableQ4_K_M13–20 tok/s≈35 s32KDetails
Long documents (64K)with Open WebUIComfortableQ4_K_M13–20 tok/s≈2 min64KDetails

Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “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.