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URL: https://willitrunai.com/can-run/phi-4-reasoning-plus-14b-on-a2-16gb

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Can Phi-4-reasoning-plus 14B run on NVIDIA A2 16GB?

YES — Tight Fit

S88Excellent
○Estimated from fit model

Phi-4-reasoning-plus 14B needs ~14.8 GB VRAM. NVIDIA A2 16GB has 16.0 GB. With Q4_K_M quantization, expect ~17 tok/s.

Runtime: OllamaCapacity: TightBandwidth: Very lowStack: BasicBottleneck: Memory bandwidth
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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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 14.8 GB, 18.7 tok/s, Tight fit
14.8 GB required16.0 GB available
93% VRAM used

Fit status

Tight fit

Decode

18.7 tok/s

TTFT

10352 ms

Safe context

22K

Memory

14.8 GB / 16.0 GB

Memory breakdown

Weights9.0 GB
KV Cache3.1 GB
Runtime1.2 GB
Headroom1.6 GB

See how fast it feels

See how fast it feelsPhi-4-reasoning-plus 14B on NVIDIA A2 16GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 18.7 tok/s decode · 10.4s TTFT (warm) · 47 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

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

Buy headroom, not only minimum fit

A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatSTight fit17.4 tok/s6070 ms22K
CodingSTight fit17.4 tok/s11128 ms22K
Agentic CodingAVery compromised10.3 tok/s27238 ms22K
ReasoningSTight fit17.4 tok/s13152 ms22K
RAGAVery compromised10.3 tok/s34047 ms22K

Quantization options

How Phi-4-reasoning-plus 14B (14.699999809265137B params) fits at each quantization level on NVIDIA A2 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.7 GB
LowS89
Q3_K_S
3
7.2 GB
LowS91
NVFP4
4

Get started

Copy-paste commands to run Phi-4-reasoning-plus 14B on your machine.

Run

ollama run phi4-reasoning

Frequently asked questions

See all results for NVIDIA A2 16GBSee all hardware for Phi-4-reasoning-plus 14B
8.2 GB
Medium
S91
Q4_K_M
4
9.0 GB
MediumS91
Q5_K_M
5
10.6 GB
HighS91
Q6_KBest for your GPU
6
12.1 GB
HighS90
Q8_0
8
15.7 GB
Very HighF0
F16
16
30.1 GB
MaximumF0

Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.