AMD Instinct MI250X 128GBBudget pick
C56.8 tok/s decode
~$15,000 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
10.6 tok/s
TTFT
18325 ms
Safe context
21K
Memory
70.2 GB / 92.2 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 10.6 tok/s | 26655 ms | 36K |
| Chat | C | Runs well | 10.6 tok/s | 9996 ms | 11K |
| Coding | C | Runs well | 10.6 tok/s | 18325 ms | 21K |
| RAG | C | Tight fit | 10.6 tok/s | 33319 ms | 36K |
| Reasoning | C | Runs well | 10.6 tok/s | 21657 ms | 21K |
How Qwen 2.5 72B (72B params) fits at each quantization level on Mac Studio M2 Ultra 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 28.1 GB | Low | D36 |
Q3_K_S | 3 | 35.3 GB | Low | D38 |
NVFP4 | 4 | 40.3 GB | Medium | D39 |
Q4_K_M | 4 | 43.9 GB | Medium | D40 |
Q5_K_M | 5 | 51.8 GB | High | C42 |
Q6_KBest for your GPU | 6 | 59.0 GB | High | C43 |
Q8_0 | 8 | 77.0 GB | Very High | C45 |
F16 | 16 | 147.6 GB | Maximum | F0 |
ollama run qwen-2.5-72bhuggingface-cli download qwen-2.5-72bUpgrade options
~$15,000 MSRP
~$15,000 MSRP
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