Can Phi 3 Medium 14B run on RTX 4500 Ada 24GB?
YES — Runs Great
Phi 3 Medium 14B needs ~15.2 GB VRAM. RTX 4500 Ada 24GB has 24.0 GB. With Q4_K_M quantization, expect ~40 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
43.0 tok/s
TTFT
4507 ms
Safe context
62K
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 | B | Runs well | 43.0 tok/s | 2458 ms | 62K |
| Coding | B | Runs well | 40.0 tok/s | 4845 ms | 62K |
| Agentic Coding | B | Runs well | 43.0 tok/s | 6555 ms | 62K |
| Reasoning | B | Runs well | 43.0 tok/s | 5326 ms | 62K |
| RAG | B | Runs well | 43.0 tok/s | 8194 ms | 62K |
Quantization options
How Phi 3 Medium 14B (14B params) fits at each quantization level on RTX 4500 Ada 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B57 |
Q3_K_S | 3 | 6.9 GB | Low | B58 |
NVFP4 | 4 |
Get started
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:medium