Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
260.0 tok/s
TTFT
745 ms
Safe context
83K
Memory
13.3 GB / 69.1 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 260.0 tok/s | 1083 ms | 167K |
| Chat | C | Runs well | 260.0 tok/s | 406 ms | 42K |
| Coding | C | Runs well | 260.0 tok/s | 745 ms | 83K |
| RAG | C | Runs well | 260.0 tok/s | 1354 ms | 167K |
| Reasoning | C | Runs well | 260.0 tok/s | 880 ms | 83K |
How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on MacBook Pro M2 Max 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.6 GB | Low | D30 |
Q3_K_S | 3 | 0.7 GB | Low | D30 |
NVFP4 | 4 |
0.8 GB |
| Medium |
| D30 |
Q4_K_M | 4 | 0.9 GB | Medium | D30 |
Q5_K_M | 5 | 1.1 GB | High | D30 |
Q6_K | 6 | 1.2 GB | High | D30 |
Q8_0 | 8 | 1.6 GB | Very High | D30 |
F16Best for your GPU | 16 | 3.1 GB | Maximum | D30 |