MacBook Pro M4 Pro 64GBBudget pick
C134.6 tok/s decode
~$1,599 MSRP
Can it run?
Runs well
Using Q6_K in Ollama
Fit status
Runs well
Decode
321.2 tok/s
TTFT
603 ms
Safe context
75K
Memory
6.8 GB / 32.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 321.2 tok/s | 877 ms | 150K |
| Chat | C | Runs well | 321.2 tok/s | 350 ms | 37K |
| Coding | C | Runs well | 321.2 tok/s | 603 ms | 75K |
| RAG | C | Runs well | 321.2 tok/s | 1096 ms | 150K |
| Reasoning | C | Runs well | 321.2 tok/s | 712 ms | 75K |
How gemma 2 2b it (2B params) fits at each quantization level on AMD Instinct MI60 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.8 GB | Low | D30 |
Q3_K_S | 3 | 1.0 GB | Low | D30 |
NVFP4 | 4 | 1.1 GB | Medium | D30 |
Q4_K_M | 4 | 1.2 GB | Medium | D30 |
Q5_K_M | 5 | 1.4 GB | High | D30 |
Q6_K | 6 | 1.6 GB | High | D31 |
Q8_0 | 8 | 2.1 GB | Very High | D31 |
F16Best for your GPU | 16 | 4.1 GB | Maximum | D32 |
huggingface-cli download hf-bartowski--gemma-2-2b-it-ggufUpgrade options
~$1,599 MSRP
~$2,499 MSRP
~$2,499 MSRP