AMD Instinct MI250X 128GBBudget pick
C170.5 tok/s decode
~$15,000 MSRP
Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
31.7 tok/s
TTFT
6108 ms
Safe context
44K
Memory
33.4 GB / 92.2 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 31.7 tok/s | 8885 ms | 79K |
| Chat | C | Runs well | 31.7 tok/s | 3332 ms | 23K |
| Coding | C | Runs well | 31.7 tok/s | 6108 ms | 44K |
| RAG | C | Runs well | 31.7 tok/s | 11106 ms | 79K |
| Reasoning | C | Runs well | 31.7 tok/s | 7219 ms | 44K |
How Devstral Small 2 24B Instruct (24B params) fits at each quantization level on Mac Studio M2 Ultra 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 9.4 GB | Low | D32 |
Q3_K_S | 3 | 11.8 GB | Low | D32 |
NVFP4 | 4 | 13.4 GB | Medium | D33 |
Q4_K_M | 4 | 14.6 GB | Medium | D33 |
Q5_K_M | 5 | 17.3 GB | High | D33 |
Q6_K | 6 | 19.7 GB | High | D34 |
Q8_0 | 8 | 25.7 GB | Very High | D35 |
F16Best for your GPU | 16 | 49.2 GB | Maximum | C41 |
ollama run devstral-small-2-24bhuggingface-cli download devstral-small-2-24bUpgrade options
~$15,000 MSRP
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