Will It Run AI

Can Phi-4 Mini Reasoning 4B run on AMD Instinct MI300A 128GB?

YES — Runs Great

A80Great
Estimated from fit model

Phi-4 Mini Reasoning 4B needs ~17.5 GB VRAM. AMD Instinct MI300A 128GB has 128.0 GB. With Q4_K_M quantization, expect ~53 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: 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) — 17.5 GB, 53.2 tok/s, Runs well
17.5 GB required128.0 GB available
14% VRAM used

Fit status

Runs well

Decode

53.2 tok/s

TTFT

3639 ms

Safe context

131K

Memory

17.5 GB / 128.0 GB

Memory breakdown

Weights2.3 GB
KV Cache1.5 GB
Runtime0.9 GB
Headroom12.8 GB

See how fast it feels

See how fast it feelsPhi-4 Mini Reasoning 4B on AMD Instinct MI300A 128GB
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: 53.2 tok/s decode · 3.6s TTFT (warm) · 133 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
ChatARuns well53.2 tok/s1985 ms131K
CodingARuns well53.2 tok/s3639 ms131K
Agentic CodingARuns well53.2 tok/s5293 ms131K
ReasoningARuns well53.2 tok/s4301 ms131K
RAGARuns well53.2 tok/s6617 ms131K

Quantization options

How Phi-4 Mini Reasoning 4B (3.799999952316284B params) fits at each quantization level on AMD Instinct MI300A 128GB (128.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
1.5 GB
LowA75
Q3_K_S
3
1.9 GB
LowA75
NVFP4
4
2.1 GB
MediumA75
Q4_K_M
4
2.3 GB
MediumA75
Q5_K_M
5
2.7 GB
HighA75
Q6_K
6
3.1 GB
HighA75
Q8_0
8
4.1 GB
Very HighA75
F16Best for your GPU
16
7.8 GB
MaximumA75

Get started

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

Run

ollama run phi4-mini

Your hardware

More models your AMD Instinct MI300A 128GB can run

ModelParamsGradeDecodeCapabilities
MistralDevstral 2 123B Instruct123BS53.8 tok/s
AlibabaQwen3-Coder 30B A3B Instruct30.5BS561 tok/s
AlibabaQwen 3.5 27B27BS243.3 tok/s
AlibabaQwen 3.6 27B27BS151.7 tok/s
AlibabaQwen 3.5 122B A10B122BS149.2 tok/s

Frequently asked questions

Can AMD Instinct MI300A 128GB run Phi-4 Mini Reasoning 4B?

Yes, AMD Instinct MI300A 128GB can run Phi-4 Mini Reasoning 4B with a A grade (Runs well). Expected decode speed: 53.2 tok/s.

How much VRAM does Phi-4 Mini Reasoning 4B need?

Phi-4 Mini Reasoning 4B (3.799999952316284B parameters) requires approximately 17.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Phi-4 Mini Reasoning 4B?

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

What speed will Phi-4 Mini Reasoning 4B run at on AMD Instinct MI300A 128GB?

On AMD Instinct MI300A 128GB, Phi-4 Mini Reasoning 4B achieves approximately 53.2 tokens per second decode speed with a time-to-first-token of 3639ms using Q4_K_M quantization.

Can AMD Instinct MI300A 128GB run Phi-4 Mini Reasoning 4B for coding?

For coding workloads, Phi-4 Mini Reasoning 4B on AMD Instinct MI300A 128GB receives a A grade with 53.2 tok/s and 131K context.

What context window can Phi-4 Mini Reasoning 4B use on AMD Instinct MI300A 128GB?

On AMD Instinct MI300A 128GB, Phi-4 Mini Reasoning 4B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI300A 128GBSee all hardware for Phi-4 Mini Reasoning 4B
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