Can Qwen 2.5 72B run on AMD Instinct MI250 128GB?

YES — Runs Great

A82Great
Estimated from fit model

Qwen 2.5 72B needs ~62.5 GB VRAM. AMD Instinct MI250 128GB has 128.0 GB. With Q4_K_M quantization, expect ~54 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) 62.5 GB, 53.9 tok/s, Runs well
62.5 GB required128.0 GB available
49% VRAM used

Fit status

Runs well

Decode

53.9 tok/s

TTFT

3593 ms

Safe context

131K

Memory

62.5 GB / 128.0 GB

Memory breakdown

Weights43.9 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom12.8 GB

See how fast it feels

See how fast it feelsQwen 2.5 72B on AMD Instinct MI250 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: 53.9 tok/s decode · 3.6s TTFT (warm) · 135 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 well53.9 tok/s1960 ms131K
CodingARuns well53.9 tok/s3593 ms131K
Agentic CodingARuns well53.9 tok/s5226 ms131K
ReasoningARuns well53.9 tok/s4246 ms131K
RAGARuns well53.9 tok/s6533 ms131K

Quantization options

How Qwen 2.5 72B (72B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
28.1 GB
LowA72
Q3_K_S
3
35.3 GB
LowA73
NVFP4
4
40.3 GB
MediumA74
Q4_K_M
4
43.9 GB
MediumA74
Q5_K_M
5
51.8 GB
HighA76
Q6_K
6
59.0 GB
HighA77
Q8_0Best for your GPU
8
77.0 GB
Very HighA79
F16
16
147.6 GB
MaximumF0

Get started

Copy-paste commands to run Qwen 2.5 72B on your machine.

Run

ollama run qwen2.5:72b

Your hardware

More models your AMD Instinct MI250 128GB can run

ModelParamsGradeDecodeCapabilities
MistralDevstral 2 123B Instruct123BS31.5 tok/s
AlibabaQwen 3.5 122B A10B122BS87.5 tok/s
MistralMistral Small 4 119B119BS94.8 tok/s
OpenAIGPT-OSS 120B117BS33.2 tok/s
CohereCommand A 111B111BS35.1 tok/s

Frequently asked questions

Can AMD Instinct MI250 128GB run Qwen 2.5 72B?

Yes, AMD Instinct MI250 128GB can run Qwen 2.5 72B with a A grade (Runs well). Expected decode speed: 53.9 tok/s.

How much VRAM does Qwen 2.5 72B need?

Qwen 2.5 72B (72B parameters) requires approximately 62.5 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 72B?

The recommended quantization for Qwen 2.5 72B is Q4_K_M, which balances quality and memory efficiency.

What speed will Qwen 2.5 72B run at on AMD Instinct MI250 128GB?

On AMD Instinct MI250 128GB, Qwen 2.5 72B achieves approximately 53.9 tokens per second decode speed with a time-to-first-token of 3593ms using Q4_K_M quantization.

Can AMD Instinct MI250 128GB run Qwen 2.5 72B for coding?

For coding workloads, Qwen 2.5 72B on AMD Instinct MI250 128GB receives a A grade with 53.9 tok/s and 131K context.

What context window can Qwen 2.5 72B use on AMD Instinct MI250 128GB?

On AMD Instinct MI250 128GB, Qwen 2.5 72B 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 MI250 128GBSee all hardware for Qwen 2.5 72B
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