Can Phi-4 Mini Reasoning 4B run on RX 7600 8GB?
YES — Runs Great
Phi-4 Mini Reasoning 4B needs ~5.5 GB VRAM. RX 7600 8GB has 8.0 GB. With Q4_K_M quantization, expect ~53 tok/s.
Operating mode
Choose the run profile you care about
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
53.2 tok/s
TTFT
3639 ms
Safe context
43K
Memory
5.5 GB / 8.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 53.2 tok/s | 1985 ms | 43K |
| Coding | S | Runs well | 53.2 tok/s | 3639 ms | 43K |
| Agentic Coding | S | Tight fit | 53.2 tok/s | 5293 ms | 43K |
| Reasoning | S | Runs well | 53.2 tok/s | 4301 ms | 43K |
| RAG | S | Tight fit | 53.2 tok/s | 6617 ms | 43K |
Quantization options
How Phi-4 Mini Reasoning 4B (3.799999952316284B params) fits at each quantization level on RX 7600 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.5 GB | Low | S88 |
Q3_K_S | 3 | 1.9 GB | Low | S89 |
NVFP4 | 4 | 2.1 GB | Medium | S89 |
Q4_K_M | 4 | 2.3 GB | Medium | S89 |
Q5_K_M | 5 | 2.7 GB | High | S90 |
Q6_K | 6 | 3.1 GB | High | S91 |
Q8_0Best for your GPU | 8 | 4.1 GB | Very High | S90 |
F16 | 16 | 7.8 GB | Maximum | F0 |
Get started
Copy-paste commands to run Phi-4 Mini Reasoning 4B on your machine.
Run
ollama run phi4-miniYour hardware
