Will It Run AI

Can Phi-4 14B run on RTX A4000 16GB?

YES — Tight Fit

A83Great
Estimated from fit model

Phi-4 14B needs ~14.4 GB VRAM. RTX A4000 16GB has 16.0 GB. With Q4_K_M quantization, expect ~37 tok/s.

Runtime: OllamaCapacity: TightBandwidth: LowStack: BasicBottleneck: Balanced
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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) — 14.4 GB, 39.5 tok/s, Tight fit
14.4 GB required16.0 GB available
90% VRAM used

Fit status

Tight fit

Decode

39.5 tok/s

TTFT

4904 ms

Safe context

16K

Memory

14.4 GB / 16.0 GB

Memory breakdown

Weights8.5 GB
KV Cache3.1 GB
Runtime1.2 GB
Headroom1.6 GB

See how fast it feels

See how fast it feelsPhi-4 14B on RTX A4000 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: 39.5 tok/s decode · 4.9s TTFT (warm) · 99 tok/s prefill

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

WorkloadGradeFitDecodeTTFTContext
ChatSRuns well39.5 tok/s2675 ms16K
CodingATight fit36.7 tok/s5272 ms16K
Agentic CodingAVery compromised (needs ~0.7 GB host RAM)24.7 tok/s11408 ms16K
ReasoningATight fit39.5 tok/s5796 ms16K
RAGAVery compromised (needs ~0.7 GB host RAM)24.7 tok/s14260 ms16K

Quantization options

How Phi-4 14B (14B params) fits at each quantization level on RTX A4000 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
LowA81
Q3_K_S
3
6.9 GB
LowA82
NVFP4
4
7.8 GB
MediumA83
Q4_K_M
4
8.5 GB
MediumA83
Q5_K_M
5
10.1 GB
HighA83
Q6_KBest for your GPU
6
11.5 GB
HighA82
Q8_0
8
15.0 GB
Very HighF0
F16
16
28.7 GB
MaximumF0

Get started

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

Run

ollama run phi4

Your hardware

More models your RTX A4000 16GB can run

ModelParamsGradeDecodeCapabilities
MicrosoftPhi-4-reasoning-plus 14B14.7BS37.6 tok/s
OpenAIGPT-OSS 20B21BA35 tok/s
MistralCodestral 2 25.0822BA13.6 tok/s
Tsinghua/ZhipuCogVLM2 19B19BA19.6 tok/s

Frequently asked questions

Can RTX A4000 16GB run Phi-4 14B?

Yes, RTX A4000 16GB can run Phi-4 14B with a A grade (Tight fit). Expected decode speed: 36.7 tok/s.

How much VRAM does Phi-4 14B need?

Phi-4 14B (14B parameters) requires approximately 14.4 GB of memory with Q4_K_M quantization.

What is the best quantization for Phi-4 14B?

The recommended quantization for Phi-4 14B is Q4_K_M, which balances quality and memory efficiency.

What speed will Phi-4 14B run at on RTX A4000 16GB?

On RTX A4000 16GB, Phi-4 14B achieves approximately 36.7 tokens per second decode speed with a time-to-first-token of 5272ms using Q4_K_M quantization.

Can RTX A4000 16GB run Phi-4 14B for coding?

For coding workloads, Phi-4 14B on RTX A4000 16GB receives a A grade with 36.7 tok/s and 16K context.

What context window can Phi-4 14B use on RTX A4000 16GB?

On RTX A4000 16GB, Phi-4 14B can safely use up to 16K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.

See all results for RTX A4000 16GBSee all hardware for Phi-4 14B
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