Can Phi 3 Medium 14B run on AMD Instinct MI210 64GB?

YES — Runs Great

B59Good

Estimated from fit model

Phi 3 Medium 14B needs ~18.9 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~140 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: 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) — 18.9 GB, 140.2 tok/s, Runs well

18.9 GB required64.0 GB available

30% VRAM used

Fit status

Runs well

Decode

140.2 tok/s

TTFT

1381 ms

Safe context

128K

Memory

18.9 GB / 64.0 GB

Memory breakdown

Weights8.5 GB

KV Cache3.1 GB

Runtime0.9 GB

Headroom6.4 GB

See how fast it feels

See how fast it feelsPhi 3 Medium 14B on AMD Instinct MI210 64GB
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: 140.2 tok/s decode · 1.4s TTFT (warm) · 351 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	140.2 tok/s	753 ms	128K
Coding	B	Runs well	140.2 tok/s	1381 ms	128K
Agentic Coding	B	Runs well	140.2 tok/s	2008 ms	128K
Reasoning	B	Runs well	140.2 tok/s	1632 ms	128K
RAG	B	Runs well	140.2 tok/s	2511 ms	128K

Quantization options

How Phi 3 Medium 14B (14B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	5.5 GB	Low	C52
Q3_K_S	3	6.9 GB	Low	C52
NVFP4	4	7.8 GB	Medium	C52
Q4_K_M	4	8.5 GB	Medium	C52
Q5_K_M	5	10.1 GB	High	C52
Q6_K	6	11.5 GB	High	C52
Q8_0	8	15.0 GB	Very High	C53
F16Best for your GPU	16	28.7 GB	Maximum	B56

Get started

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

Run

ollama run phi3:medium

Frequently asked questions

Can AMD Instinct MI210 64GB run Phi 3 Medium 14B?

Yes, AMD Instinct MI210 64GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 140.2 tok/s.

How much VRAM does Phi 3 Medium 14B need?

Phi 3 Medium 14B (14B parameters) requires approximately 18.9 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 AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, Phi 3 Medium 14B achieves approximately 140.2 tokens per second decode speed with a time-to-first-token of 1381ms using Q4_K_M quantization.

Can AMD Instinct MI210 64GB run Phi 3 Medium 14B for coding?

For coding workloads, Phi 3 Medium 14B on AMD Instinct MI210 64GB receives a B grade with 140.2 tok/s and 128K context.

What context window can Phi 3 Medium 14B use on AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, Phi 3 Medium 14B can safely use up to 128K tokens of context. The model's official context limit is 128K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI210 64GB See all hardware for Phi 3 Medium 14B

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