Can Phi 3 Medium 14B run on Radeon AI PRO R9700 32GB?

YES — Runs Great

B61Good

Estimated from fit model

Phi 3 Medium 14B needs ~15.7 GB VRAM. Radeon AI PRO R9700 32GB has 32.0 GB. With Q4_K_M quantization, expect ~44 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: 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) — 15.7 GB, 47.5 tok/s, Runs well

15.7 GB required32.0 GB available

49% VRAM used

Fit status

Runs well

Decode

47.5 tok/s

TTFT

4073 ms

Safe context

102K

Memory

15.7 GB / 32.0 GB

Memory breakdown

Weights8.5 GB

KV Cache3.1 GB

Runtime0.9 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsPhi 3 Medium 14B on Radeon AI PRO R9700 32GB
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: 47.5 tok/s decode · 4.1s TTFT (warm) · 119 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

Workload	Grade	Fit	Decode	TTFT	Context
Chat	B	Runs well	47.5 tok/s	2222 ms	102K
Coding	B	Runs well	44.2 tok/s	4379 ms	102K
Agentic Coding	B	Runs well	47.5 tok/s	5924 ms	102K
Reasoning	B	Runs well	47.5 tok/s	4814 ms	102K
RAG	B	Runs well	47.5 tok/s	7406 ms	102K

Quantization options

How Phi 3 Medium 14B (14B params) fits at each quantization level on Radeon AI PRO R9700 32GB (32.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.5 GB	Low	C55
Q3_K_S	3	6.9 GB	Low	B55
NVFP4	4

Get started

Copy-paste commands to run Phi 3 Medium 14B on your machine.

Run

ollama run phi3:medium

Upgrade options

Hardware that runs Phi 3 Medium 14B well

NVIDIA A100 40GBBudget pick

40 GB VRAM (+8)1555 GB/s (+915)

Raises estimated decode speed by about 246%.164.4 tok/s decode

Raises estimated decode speed by about 246%.

Adds memory headroom for longer context windows and future model growth.

~$10,000 MSRP

Frequently asked questions

Can Radeon AI PRO R9700 32GB run Phi 3 Medium 14B?

Yes, Radeon AI PRO R9700 32GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 44.2 tok/s.

How much VRAM does Phi 3 Medium 14B need?

Phi 3 Medium 14B (14B parameters) requires approximately 15.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Phi 3 Medium 14B?

The recommended quantization for Phi 3 Medium 14B is Q4_K_M, which balances quality and memory efficiency.

What speed will Phi 3 Medium 14B run at on Radeon AI PRO R9700 32GB?

On Radeon AI PRO R9700 32GB, Phi 3 Medium 14B achieves approximately 44.2 tokens per second decode speed with a time-to-first-token of 4379ms using Q4_K_M quantization.

Can Radeon AI PRO R9700 32GB run Phi 3 Medium 14B for coding?

For coding workloads, Phi 3 Medium 14B on Radeon AI PRO R9700 32GB receives a B grade with 44.2 tok/s and 102K context.

What context window can Phi 3 Medium 14B use on Radeon AI PRO R9700 32GB?

On Radeon AI PRO R9700 32GB, Phi 3 Medium 14B can safely use up to 102K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.

See all results for Radeon AI PRO R9700 32GB See all hardware for Phi 3 Medium 14B

Embed this result▼

Paste this snippet into any page to show a live fit card.

<iframe src="https://willitrunai.com/embed/phi-3-medium-14b-on-radeon-ai-pro-r9700-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

Preview: