Can Phi-4-reasoning-plus 14B run on RTX A2000 12GB?
BARELY — Tight on Memory
Phi-4-reasoning-plus 14B needs ~14.1 GB VRAM. RTX A2000 12GB has 12.0 GB. With Q4_K_M quantization, expect ~13 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
2.1 GB over capacity — needs offload or smaller quantization
Fit status
Very compromised (needs ~1.3 GB host RAM)
Decode
14.3 tok/s
TTFT
13497 ms
Safe context
5K
Memory
14.1 GB / 12.0 GB
Offload
20%
Memory breakdown
See how fast it feels
What limits this setup
It fits through host-memory offload, and offload is the main reason performance drops.
CPU or host-memory offload is active
About 20% of the working set spills out of accelerator memory, which usually hurts latency and sustained decode throughput.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Best improvement path
Remove offload with more accelerator memory
Prioritize a GPU or unified-memory tier that fits the whole model natively. Removing offload usually helps more than small compute gains.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Increase host RAM if you keep offloading
This setup may need roughly {ram} GB of extra host RAM just for the offloaded portion, before OS and other tools.
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs with offload | 17.0 tok/s | 6221 ms | 5K |
| Coding | A | Very compromised | 13.3 tok/s | 14509 ms | 5K |
| Agentic Coding | F | Too heavy | 8.8 tok/s | 31862 ms | 5K |
| Reasoning | A | Very compromised | 13.3 tok/s | 17147 ms | 5K |
| RAG | F | Too heavy | 8.8 tok/s | 39828 ms | 5K |
Quantization options
How Phi-4-reasoning-plus 14B (14.699999809265137B params) fits at each quantization level on RTX A2000 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.7 GB | Low | S92 |
Q3_K_S | 3 | 7.2 GB | Low | S92 |
NVFP4Best for your GPU |
Get started
Copy-paste commands to run Phi-4-reasoning-plus 14B on your machine.
Run
ollama run phi4-reasoning