Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
70.5 tok/s
TTFT
2747 ms
Safe context
70K
Memory
21.2 GB / 92.2 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 70.5 tok/s | 3995 ms | 132K |
| Chat | C | Runs well | 70.5 tok/s | 1498 ms | 36K |
| Coding | C | Runs well | 70.5 tok/s | 2747 ms | 70K |
| RAG | C | Runs well | 70.5 tok/s | 4994 ms | 132K |
| Reasoning | C | Runs well | 70.5 tok/s | 3246 ms | 70K |
How Meta Llama 3 8B Instruct (8B params) fits at each quantization level on MacBook Pro M4 Max 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | D30 |
Q3_K_S | 3 | 3.9 GB | Low | D30 |
NVFP4 | 4 | 4.5 GB | Medium | D30 |
Q4_K_M | 4 | 4.9 GB | Medium | D31 |
Q5_K_M | 5 | 5.8 GB | High | D31 |
Q6_K | 6 | 6.6 GB | High | D31 |
Q8_0 | 8 | 8.6 GB | Very High | D31 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | D33 |
