MacBook Pro M4 Max 48GBBudget pick
C70.5 tok/s decode
~$2,499 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
58.8 tok/s
TTFT
3295 ms
Safe context
49K
Memory
10.5 GB / 32.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 58.8 tok/s | 4793 ms | 87K |
| Chat | C | Runs well | 58.8 tok/s | 1797 ms | 25K |
| Coding | C | Runs well | 58.8 tok/s | 3295 ms | 49K |
| RAG | C | Runs well | 58.8 tok/s | 5991 ms | 87K |
| Reasoning | C | Runs well | 58.8 tok/s | 3894 ms | 49K |
How Meta Llama 3 8B Instruct (8B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | D31 |
Q3_K_S | 3 | 3.9 GB | Low | D32 |
NVFP4 | 4 |
Upgrade options
~$2,499 MSRP
~$2,499 MSRP
4.5 GB |
| Medium |
| D32 |
Q4_K_M | 4 | 4.9 GB | Medium | D33 |
Q5_K_M | 5 | 5.8 GB | High | D33 |
Q6_K | 6 | 6.6 GB | High | D34 |
Q8_0 | 8 | 8.6 GB | Very High | D35 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | C40 |
~$3,999 MSRP