Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
83.1 tok/s
TTFT
2329 ms
Safe context
47K
Memory
11.7 GB / 34.6 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 80.6 tok/s | 3496 ms | 86K |
| Chat | C | Runs well | 80.6 tok/s | 1311 ms | 24K |
| Coding | C | Runs well | 83.1 tok/s | 2329 ms | 47K |
| RAG | C | Runs well | 80.6 tok/s | 4370 ms | 86K |
| Reasoning | C | Runs well | 80.6 tok/s | 2840 ms | 47K |
How Llama 2 7B Chat (7B params) fits at each quantization level on MacBook Pro M4 Max 48GB (34.6 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | D31 |
Q3_K_S | 3 | 3.4 GB | Low | D32 |
NVFP4 | 4 |
3.9 GB |
| Medium |
| D32 |
Q4_K_M | 4 | 4.3 GB | Medium | D32 |
Q5_K_M | 5 | 5.0 GB | High | D33 |
Q6_K | 6 | 5.7 GB | High | D33 |
Q8_0 | 8 | 7.5 GB | Very High | D34 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | D38 |