Can Phi-4-reasoning-plus 14B run on Quadro RTX 6000 24GB?

YES — Runs Great

S94Excellent

○Estimated from fit model

Phi-4-reasoning-plus 14B needs ~15.6 GB VRAM. Quadro RTX 6000 24GB has 24.0 GB. With Q4_K_M quantization, expect ~56 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: MediumStack: BasicBottleneck: Balanced

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) — 15.6 GB, 55.6 tok/s, Runs well

15.6 GB required24.0 GB available

65% VRAM used

Fit status

Runs well

Decode

55.6 tok/s

TTFT

3483 ms

Safe context

33K

Memory

15.6 GB / 24.0 GB

Memory breakdown

Weights9.0 GB

KV Cache3.1 GB

Runtime1.2 GB

Headroom2.4 GB

See how fast it feels

See how fast it feelsPhi-4-reasoning-plus 14B on Quadro RTX 6000 24GB
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: 55.6 tok/s decode · 3.5s TTFT (warm) · 139 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

Older PCIe generation

PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	55.6 tok/s	1900 ms	33K
Coding	S	Runs well	55.6 tok/s	3483 ms	33K
Agentic Coding	S	Runs well	55.6 tok/s	5066 ms	33K
Reasoning	S	Runs well	55.6 tok/s	4116 ms	33K
RAG	S	Runs well	55.6 tok/s	6332 ms	33K

Quantization options

How Phi-4-reasoning-plus 14B (14.699999809265137B params) fits at each quantization level on Quadro RTX 6000 24GB (24.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.7 GB	Low	S86
Q3_K_S	3	7.2 GB	Low	S86
NVFP4	4	8.2 GB	Medium	S87
Q4_K_M	4	9.0 GB	Medium	S88
Q5_K_M	5	10.6 GB	High	S89
Q6_K	6	12.1 GB	High	S90
Q8_0Best for your GPU	8	15.7 GB	Very High	S90
F16	16	30.1 GB	Maximum	F0

Get started

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

Run

ollama run phi4-reasoning

Your hardware

More models your Quadro RTX 6000 24GB can run

Model	Params	Grade	Decode
👁 Alibaba Qwen3-Coder 30B A3B Instruct	30.5B	S	70.1 tok/s
👁 Alibaba Qwen 3.5 27B	27B	S	30.4 tok/s
👁 Alibaba Qwen 3.6 27B	27B	S	30.5 tok/s
👁 Alibaba Qwen3-VL 30B A3B Instruct	30B	S	72.5 tok/s
👁 Alibaba Qwen 3.5 35B A3B	35B	A	37.9 tok/s

Frequently asked questions

See all results for Quadro RTX 6000 24GB See all hardware for Phi-4-reasoning-plus 14B

URL: https://willitrunai.com/can-run/phi-4-reasoning-plus-14b-on-quadro-rtx-6000-24gb

⇱ Phi-4-reasoning-plus 14B on Quadro RTX 6000 24GB? YES