Phi-4 Mini Reasoning 4B needs ~5.5 GB VRAM. RX 580 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
51.1 tok/s
TTFT
3792 ms
Safe context
43K
Memory
5.5 GB / 8.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 51.1 tok/s | 2069 ms | 43K |
| Coding | S | Runs well | 51.1 tok/s | 3792 ms | 43K |
| Agentic Coding | S | Tight fit | 51.1 tok/s | 5516 ms | 43K |
| Reasoning | S | Runs well | 51.1 tok/s | 4482 ms | 43K |
| RAG | S | Tight fit | 51.1 tok/s | 6895 ms | 43K |
How Phi-4 Mini Reasoning 4B (3.799999952316284B params) fits at each quantization level on RX 580 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 | 11.1 tok/s | |
| Qwen 3.5 4B | 4B | S | 48.5 tok/s | |
| Qwen 3 8B | 8B | A | 14.4 tok/s |
Yes, RX 580 8GB can run Phi-4 Mini Reasoning 4B with a S grade (Runs well). Expected decode speed: 51.1 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 580 8GB, Phi-4 Mini Reasoning 4B achieves approximately 51.1 tokens per second decode speed with a time-to-first-token of 3792ms using Q4_K_M quantization.
For coding workloads, Phi-4 Mini Reasoning 4B on RX 580 8GB receives a S grade with 51.1 tok/s and 43K context.
On RX 580 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-580-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: