Phi-4 Mini Reasoning 4B needs ~5.5 GB VRAM. RX 6600 8GB has 8.0 GB. With Q4_K_M quantization, expect ~51 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
50.9 tok/s
TTFT
3803 ms
Safe context
43K
Memory
5.5 GB / 8.0 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 | S | Runs well | 50.9 tok/s | 2075 ms | 43K |
| Coding | S | Runs well | 50.9 tok/s | 3803 ms | 43K |
| Agentic Coding | S | Tight fit | 50.9 tok/s | 5532 ms | 43K |
| Reasoning | S | Runs well | 50.9 tok/s | 4495 ms | 43K |
| RAG | S | Tight fit | 50.9 tok/s | 6915 ms | 43K |
How Phi-4 Mini Reasoning 4B (3.799999952316284B params) fits at each quantization level on RX 6600 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 |
Copy-paste commands to run Phi-4 Mini Reasoning 4B on your machine.
Run
ollama run phi4-miniYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen 3.5 9B | 9B | A | 11.5 tok/s | |
| Qwen 3.5 4B | 4B | S | 48.4 tok/s | |
| Qwen 3 8B | 8B | A | 14.9 tok/s |
Yes, RX 6600 8GB can run Phi-4 Mini Reasoning 4B with a S grade (Runs well). Expected decode speed: 50.9 tok/s.
Phi-4 Mini Reasoning 4B (3.799999952316284B parameters) requires approximately 5.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi-4 Mini Reasoning 4B is Q4_K_M, which balances quality and memory efficiency.
On RX 6600 8GB, Phi-4 Mini Reasoning 4B achieves approximately 50.9 tokens per second decode speed with a time-to-first-token of 3803ms using Q4_K_M quantization.
For coding workloads, Phi-4 Mini Reasoning 4B on RX 6600 8GB receives a S grade with 50.9 tok/s and 43K context.
On RX 6600 8GB, Phi-4 Mini Reasoning 4B can safely use up to 43K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/phi-4-mini-reasoning-on-rx-6600-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: