GLM-4 9B needs ~13.9 GB VRAM. Mac Studio M2 Ultra 64GB has 46.1 GB. With Q4_K_M quantization, expect ~92 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
92.4 tok/s
TTFT
2094 ms
Safe context
128K
Memory
13.9 GB / 46.1 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 92.4 tok/s | 1142 ms | 128K |
| Coding | B | Runs well | 92.4 tok/s | 2094 ms | 128K |
| Agentic Coding | A | Runs well | 92.4 tok/s | 3046 ms | 128K |
| Reasoning | B | Runs well | 92.4 tok/s | 2475 ms | 128K |
| RAG | A | Runs well | 92.4 tok/s | 3808 ms | 128K |
How GLM-4 9B (9B params) fits at each quantization level on Mac Studio M2 Ultra 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B63 |
Q3_K_S | 3 | 4.4 GB | Low | B63 |
NVFP4 | 4 |
Copy-paste commands to run GLM-4 9B on your machine.
Run
ollama run glm4Yes, Mac Studio M2 Ultra 64GB can run GLM-4 9B with a B grade (Runs well). Expected decode speed: 92.4 tok/s.
GLM-4 9B (9B parameters) requires approximately 13.9 GB of memory with Q4_K_M quantization.
The recommended quantization for GLM-4 9B is Q4_K_M, which balances quality and memory efficiency.
On Mac Studio M2 Ultra 64GB, GLM-4 9B achieves approximately 92.4 tokens per second decode speed with a time-to-first-token of 2094ms using Q4_K_M quantization.
For coding workloads, GLM-4 9B on Mac Studio M2 Ultra 64GB receives a B grade with 92.4 tok/s and 128K context.
On Mac Studio M2 Ultra 64GB, GLM-4 9B can safely use up to 128K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/glm-4-9b-on-m2-ultra-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
5.0 GB |
| Medium |
| B63 |
Q4_K_M | 4 | 5.5 GB | Medium | B63 |
Q5_K_M | 5 | 6.5 GB | High | B64 |
Q6_K | 6 | 7.4 GB | High | B64 |
Q8_0 | 8 | 9.6 GB | Very High | B64 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | B67 |
Not always. Mac Studio M2 Ultra 64GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.