MacBook Pro M4 Max 48GBBudget pick
C80.6 tok/s decode
~$2,499 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
151.8 tok/s
TTFT
1276 ms
Safe context
52K
Memory
9.8 GB / 32.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 141.2 tok/s | 1994 ms | 94K |
| Chat | C | Runs well | 141.2 tok/s | 748 ms | 27K |
| Coding | C | Runs well | 151.8 tok/s | 1276 ms | 52K |
| RAG | C | Runs well | 141.2 tok/s | 2493 ms | 94K |
| Reasoning | C | Runs well | 141.2 tok/s | 1620 ms | 52K |
How Mistral 7B Instruct v0.2 (7B params) fits at each quantization level on NVIDIA V100 32GB (32.0 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 |
Upgrade options
~$2,499 MSRP
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 | D39 |