Can Phi-4-reasoning-plus 14B run on NVIDIA L20 48GB?
YES — Runs Great
Phi-4-reasoning-plus 14B needs ~18.0 GB VRAM. NVIDIA L20 48GB has 48.0 GB. With Q4_K_M quantization, expect ~76 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
75.6 tok/s
TTFT
2560 ms
Safe context
33K
Memory
18.0 GB / 48.0 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 | 75.6 tok/s | 1397 ms | 33K |
| Coding | S | Runs well | 75.6 tok/s | 2560 ms | 33K |
| Agentic Coding | S | Runs well | 75.6 tok/s | 3724 ms | 33K |
| Reasoning | S | Runs well | 75.6 tok/s | 3026 ms | 33K |
| RAG | S | Runs well | 75.6 tok/s | 4655 ms | 33K |
Quantization options
How Phi-4-reasoning-plus 14B (14.699999809265137B params) fits at each quantization level on NVIDIA L20 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.7 GB | Low | A82 |
Q3_K_S | 3 | 7.2 GB | Low | A82 |
NVFP4 | 4 | 8.2 GB | Medium | A82 |
Q4_K_M | 4 | 9.0 GB | Medium | A82 |
Q5_K_M | 5 | 10.6 GB | High | A83 |
Q6_K | 6 | 12.1 GB | High | A83 |
Q8_0 | 8 | 15.7 GB | Very High | A84 |
F16Best for your GPU | 16 | 30.1 GB | Maximum | S88 |
Get started
Copy-paste commands to run Phi-4-reasoning-plus 14B on your machine.
Run
ollama run phi4-reasoningYour hardware
