Mac Studio M3 Ultra 256GBBudget pick
C130.4 tok/s decode
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
893.7 tok/s
TTFT
350 ms
Safe context
106K
Memory
19.4 GB / 128.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 868.9 tok/s | 350 ms | 200K |
| Chat | C | Runs well | 868.9 tok/s | 350 ms | 54K |
| Coding | C | Runs well | 893.7 tok/s | 350 ms | 106K |
| RAG | C | Runs well | 868.9 tok/s | 405 ms | 200K |
| Reasoning | C | Runs well | 868.9 tok/s | 350 ms | 106K |
How Llama 2 7B Chat (7B params) fits at each quantization level on AMD Instinct MI300A 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | D30 |
Q3_K_S | 3 | 3.4 GB | Low | D30 |
NVFP4 | 4 |
Upgrade options
3.9 GB |
| Medium |
| D30 |
Q4_K_M | 4 | 4.3 GB | Medium | D30 |
Q5_K_M | 5 | 5.0 GB | High | D30 |
Q6_K | 6 | 5.7 GB | High | D30 |
Q8_0 | 8 | 7.5 GB | Very High | D31 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | D32 |