Mac Studio M3 Ultra 256GBBudget pick
C356.6 tok/s decode
Can it run?
Runs well
Using Q6_K in Ollama
Fit status
Runs well
Decode
1290.7 tok/s
TTFT
350 ms
Safe context
125K
Memory
16.4 GB / 128.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 1290.7 tok/s | 350 ms | 249K |
| Chat | C | Runs well | 1290.7 tok/s | 350 ms | 62K |
| Coding | C | Runs well | 1290.7 tok/s | 350 ms | 125K |
| RAG | C | Runs well | 1290.7 tok/s | 350 ms | 249K |
| Reasoning | C | Runs well | 1290.7 tok/s | 350 ms | 125K |
How gemma 2 2b it (2B params) fits at each quantization level on Intel Data Center GPU Max 1550 128GB (128.0 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 | D30 |
Q8_0 | 8 | 2.1 GB | Very High | D30 |
F16Best for your GPU | 16 | 4.1 GB | Maximum | D30 |
huggingface-cli download hf-bartowski--gemma-2-2b-it-ggufUpgrade options