Can Phi-4 14B run on RTX PRO 4000 Blackwell 24GB?
YES — Runs Great
Phi-4 14B needs ~15.2 GB VRAM. RTX PRO 4000 Blackwell 24GB has 24.0 GB. With Q4_K_M quantization, expect ~71 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
71.1 tok/s
TTFT
2725 ms
Safe context
16K
Memory
15.2 GB / 24.0 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 | A | Runs well | 71.1 tok/s | 1486 ms | 16K |
| Coding | S | Runs well | 71.1 tok/s | 2725 ms | 16K |
| Agentic Coding | S | Runs well | 71.1 tok/s | 3963 ms | 16K |
| Reasoning | S | Runs well | 71.1 tok/s | 3220 ms | 16K |
| RAG | S | Runs well | 71.1 tok/s | 4954 ms | 16K |
Quantization options
How Phi-4 14B (14B params) fits at each quantization level on RTX PRO 4000 Blackwell 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | A77 |
Q3_K_S | 3 | 6.9 GB | Low | A78 |
NVFP4 | 4 |
Get started
Copy-paste commands to run Phi-4 14B on your machine.
Run
ollama run phi4Your hardware
