C45.9 tok/s decode
~$349 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
17.8 tok/s
TTFT
10901 ms
Safe context
21K
Memory
10.0 GB / 13.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 19.9 tok/s | 14119 ms | 36K |
| Chat | C | Runs well | 19.9 tok/s | 5294 ms | 11K |
| Coding | C | Runs well | 17.8 tok/s | 10901 ms | 21K |
| RAG | C | Tight fit | 19.9 tok/s | 17648 ms | 36K |
| Reasoning | C | Runs well | 19.9 tok/s | 11471 ms | 21K |
How Qwen3.5 9B (9B params) fits at each quantization level on MacBook Pro M3 Pro 18GB (13.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | D35 |
Q3_K_S | 3 | 4.4 GB | Low | D37 |
NVFP4 | 4 |
huggingface-cli download hf-unsloth--qwen3-5-9b-ggufUpgrade options
~$349 MSRP
~$479 MSRP
~$799 MSRP
5.0 GB |
| Medium |
| D38 |
Q4_K_M | 4 | 5.5 GB | Medium | D39 |
Q5_K_M | 5 | 6.5 GB | High | C40 |
Q6_K | 6 | 7.4 GB | High | C42 |
Q8_0Best for your GPU | 8 | 9.6 GB | Very High | C45 |
F16 | 16 | 18.5 GB | Maximum | F0 |
~$1,999 MSRP