MacBook Pro M4 Max 48GBBudget pick
48 GB Unified (+16)546 GB/s (+34)
A
Raises estimated decode speed by about 31%.74.7 tok/s decode
Raises estimated decode speed by about 31%.
~$2,499 MSRP
GLM-4 9B needs ~10.2 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~57 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
57.1 tok/s
TTFT
3389 ms
Safe context
128K
Memory
10.2 GB / 32.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 57.1 tok/s | 1849 ms | 128K |
| Coding | B | Runs well | 57.1 tok/s | 3389 ms | 128K |
| Agentic Coding | B | Runs well | 57.1 tok/s | 4930 ms | 128K |
| Reasoning | B | Runs well | 57.1 tok/s | 4005 ms | 128K |
| RAG | B | Runs well | 57.1 tok/s | 6162 ms | 128K |
How GLM-4 9B (9B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B65 |
Q3_K_S | 3 | 4.4 GB | Low | B65 |
NVFP4 | 4 | 5.0 GB | Medium | B65 |
Q4_K_M | 4 | 5.5 GB | Medium | B65 |
Q5_K_M | 5 | 6.5 GB | High | B66 |
Q6_K | 6 | 7.4 GB | High | B66 |
Q8_0 | 8 | 9.6 GB | Very High | B67 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | A71 |
Copy-paste commands to run GLM-4 9B on your machine.
Run
ollama run glm4Upgrade options
Raises estimated decode speed by about 31%.
~$2,499 MSRP
~$2,499 MSRP
Yes, Radeon Pro W6800 32GB can run GLM-4 9B with a B grade (Runs well). Expected decode speed: 57.1 tok/s.
GLM-4 9B (9B parameters) requires approximately 10.2 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 Radeon Pro W6800 32GB, GLM-4 9B achieves approximately 57.1 tokens per second decode speed with a time-to-first-token of 3389ms using Q4_K_M quantization.
For coding workloads, GLM-4 9B on Radeon Pro W6800 32GB receives a B grade with 57.1 tok/s and 128K context.
On Radeon Pro W6800 32GB, 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-radeon-pro-w6800-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: