Can it run?
Runs well
Using Q4_K_M in vLLM
Fit status
Runs well
Decode
49.5 tok/s
TTFT
3914 ms
Safe context
35K
Memory
31.9 GB / 69.1 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 49.5 tok/s | 5693 ms | 69K |
| Chat | C | Runs well | 49.5 tok/s | 2135 ms | 17K |
| Coding | C | Runs well | 49.5 tok/s | 3914 ms | 35K |
| RAG | C | Runs well | 51.0 tok/s | 6897 ms | 69K |
| Reasoning | C | Runs well | 49.5 tok/s | 4625 ms | 35K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on MacBook Pro M4 Max 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | D33 |
Q3_K_S | 3 | 14.7 GB | Low | D34 |
NVFP4 | 4 |
huggingface-cli download qwen-3-vl-30b-a3b16.8 GB |
| Medium |
| D35 |
Q4_K_M | 4 | 18.3 GB | Medium | D35 |
Q5_K_M | 5 | 21.6 GB | High | D36 |
Q6_K | 6 | 24.6 GB | High | D37 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | D39 |
F16 | 16 | 61.5 GB | Maximum | C45 |