Adds memory headroom for longer context windows and future model growth.
~$6,999 MSRP
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VOOZH | about |
Phi 4 Mini 4B needs ~17.6 GB VRAM. AMD Instinct MI250X 128GB has 128.0 GB. With Q4_K_M quantization, expect ~56 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
56.0 tok/s
TTFT
3457 ms
Safe context
128K
Memory
17.6 GB / 128.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 56.0 tok/s | 1886 ms | 128K |
| Coding | B | Runs well | 56.0 tok/s | 3457 ms | 128K |
| Agentic Coding | B | Runs well | 56.0 tok/s | 5029 ms | 128K |
| Reasoning | B | Runs well | 56.0 tok/s | 4086 ms | 128K |
| RAG | B | Runs well | 56.0 tok/s | 6286 ms | 128K |
How Phi 4 Mini 4B (4B params) fits at each quantization level on AMD Instinct MI250X 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | B59 |
Q3_K_S | 3 | 2.0 GB | Low | B59 |
NVFP4 | 4 |
Copy-paste commands to run Phi 4 Mini 4B on your machine.
Run
ollama run phi4-miniUpgrade options
2.2 GB |
| Medium |
| B59 |
Q4_K_M | 4 | 2.4 GB | Medium | B59 |
Q5_K_M | 5 | 2.9 GB | High | B59 |
Q6_K | 6 | 3.3 GB | High | B59 |
Q8_0 | 8 | 4.3 GB | Very High | B59 |
F16Best for your GPU | 16 | 8.2 GB | Maximum | B59 |