Local AI Advisor

Can Mac Studio M5 Max 64 GB run GLM-4.5-Air (106B-A12B)?

64 GB unified · 614 GB/s memory bandwidth · GLM-4.5-Air (106B-A12B) has 110.5B parameters (12B active per token).

Short answer

Yes, comfortable for chat; doesn't fit for 64K-token documents.

Best quantization for chat: 3-bit (45 GB of weights) on LM Studio. Generation: 40–65 tok/s, leaving about 6.1 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 WebUIComfortable3-bit40–65 tok/sunder 1 s8KDetails
Coding questionswith ContinueBorderline3-bit35–60 tok/s≈4 s16KDetails
Coding in a repositorywith AiderBorderline3-bit25–45 tok/s≈10 s32KDetails
Agentic codingwith OpenCodeBorderline3-bit25–40 tok/s≈15 s32KDetails
Long documents (64K)with Open WebUIDoes Not Fit————Details

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

Get it running

Copy-paste commands for the 3-bit build with a 8K context. Ollama and llama.cpp download the file straight from Hugging Face.

ollama run hf.co/unsloth/GLM-4.5-Air-GGUF:Q3_K_M

This build is split into 2 files, which Ollama can't import from Hugging Face. Use llama.cpp or LM Studio instead.

Different tool, context size or workload?

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