Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
266.5 tok/s
TTFT
726 ms
Safe context
61K
Memory
6.8 GB / 25.9 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 258.3 tok/s | 1090 ms | 122K |
| Chat | C | Runs well | 258.3 tok/s | 409 ms | 30K |
| Coding | C | Runs well | 266.5 tok/s | 726 ms | 61K |
| RAG | C | Runs well | 258.3 tok/s | 1363 ms | 122K |
| Reasoning | C | Runs well | 258.3 tok/s | 886 ms | 61K |
How Qwen2.5 1.5B Instruct (1.5B params) fits at each quantization level on MacBook Pro M4 Max 36GB (25.9 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 | D31 |
F16Best for your GPU | 16 | 3.1 GB | Maximum | D32 |