Phi-4 Mini Reasoning 4B needs ~5.5 GB VRAM. RTX 5050 8GB has 8.0 GB. With Q4_K_M quantization, expect ~72 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
72.2 tok/s
TTFT
2681 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 | 72.2 tok/s | 1463 ms | 43K |
| Coding | S | Runs well | 72.2 tok/s | 2681 ms | 43K |
| Agentic Coding | S | Tight fit | 72.2 tok/s | 3900 ms | 43K |
| Reasoning | S | Runs well | 72.2 tok/s | 3169 ms | 43K |
| RAG | S | Tight fit | 72.2 tok/s | 4875 ms | 43K |
How Phi-4 Mini Reasoning 4B (3.799999952316284B params) fits at each quantization level on RTX 5050 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 | 20.3 tok/s | |
| Qwen 3.5 4B | 4B | S | 76 tok/s | |
| Qwen 3 8B | 8B | A | 26.2 tok/s |
Yes, RTX 5050 8GB can run Phi-4 Mini Reasoning 4B with a S grade (Runs well). Expected decode speed: 72.2 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 RTX 5050 8GB, Phi-4 Mini Reasoning 4B achieves approximately 72.2 tokens per second decode speed with a time-to-first-token of 2681ms using Q4_K_M quantization.
For coding workloads, Phi-4 Mini Reasoning 4B on RTX 5050 8GB receives a S grade with 72.2 tok/s and 43K context.
On RTX 5050 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-rtx-5050-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: