Phi 4 Mini 4B needs ~5.6 GB VRAM. RX 580 8GB has 8.0 GB. With Q4_K_M quantization, expect ~49 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
48.5 tok/s
TTFT
3992 ms
Safe context
42K
Memory
5.6 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 | A | Runs well | 48.5 tok/s | 2177 ms | 42K |
| Coding | A | Runs well | 48.5 tok/s | 3992 ms | 42K |
| Agentic Coding | A | Tight fit | 48.5 tok/s | 5806 ms | 42K |
| Reasoning | A | Runs well | 48.5 tok/s | 4718 ms | 42K |
| RAG | A | Tight fit | 48.5 tok/s | 7258 ms | 42K |
How Phi 4 Mini 4B (4B params) fits at each quantization level on RX 580 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | A72 |
Q3_K_S | 3 | 2.0 GB | Low | A72 |
NVFP4 | 4 | 2.2 GB | Medium | A73 |
Q4_K_M | 4 | 2.4 GB | Medium | A73 |
Q5_K_M | 5 | 2.9 GB | High | A74 |
Q6_K | 6 | 3.3 GB | High | A74 |
Q8_0Best for your GPU | 8 | 4.3 GB | Very High | A74 |
F16 | 16 | 8.2 GB | Maximum | F0 |
Copy-paste commands to run Phi 4 Mini 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 8B | 8B | A | 14.4 tok/s | |
 Nemotron Nano 8B | 8B | A | 15.4 tok/s | |
 InternVL2 8B | 8B | A | 15.4 tok/s | |
 Ministral 3 8B | 8B | B | 14.4 tok/s |
Yes, RX 580 8GB can run Phi 4 Mini 4B with a A grade (Runs well). Expected decode speed: 48.5 tok/s.
Phi 4 Mini 4B (4B parameters) requires approximately 5.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi 4 Mini 4B is Q4_K_M, which balances quality and memory efficiency.
On RX 580 8GB, Phi 4 Mini 4B achieves approximately 48.5 tokens per second decode speed with a time-to-first-token of 3992ms using Q4_K_M quantization.
For coding workloads, Phi 4 Mini 4B on RX 580 8GB receives a A grade with 48.5 tok/s and 42K context.
On RX 580 8GB, Phi 4 Mini 4B can safely use up to 42K tokens of context. The model's official context limit is 128K, 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-4b-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: