Will It Run AI

Can Qwen 2.5 VL 72B run on AMD Instinct MI210 64GB?

YES — Tight Fit

S90Excellent
Estimated from fit model

Qwen 2.5 VL 72B needs ~56.1 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~28 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: 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) 56.1 GB, 27.6 tok/s, Tight fit
56.1 GB required64.0 GB available
88% VRAM used

Fit status

Tight fit

Decode

27.6 tok/s

TTFT

7020 ms

Safe context

33K

Memory

56.1 GB / 64.0 GB

Memory breakdown

Weights43.9 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom6.4 GB

See how fast it feels

See how fast it feelsQwen 2.5 VL 72B 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: 27.6 tok/s decode · 7.0s TTFT (warm) · 69 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
ChatSTight fit27.6 tok/s3829 ms33K
CodingSTight fit27.6 tok/s7020 ms33K
Agentic CodingSRuns with offload27.6 tok/s10210 ms33K
ReasoningSTight fit27.6 tok/s8296 ms33K
RAGSRuns with offload27.6 tok/s12763 ms33K

Quantization options

How Qwen 2.5 VL 72B (72B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
28.1 GB
LowS87
Q3_K_S
3
35.3 GB
LowS88
NVFP4
4
40.3 GB
MediumS88
Q4_K_M
4
43.9 GB
MediumS88
Q5_K_MBest for your GPU
5
51.8 GB
HighS88
Q6_K
6
59.0 GB
HighF0
Q8_0
8
77.0 GB
Very HighF0
F16
16
147.6 GB
MaximumF0

Get started

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

Run

lms load Qwen2.5-VL-72B-Instruct && lms server start

Frequently asked questions

Can AMD Instinct MI210 64GB run Qwen 2.5 VL 72B?

Yes, AMD Instinct MI210 64GB can run Qwen 2.5 VL 72B with a S grade (Tight fit). Expected decode speed: 27.6 tok/s.

How much VRAM does Qwen 2.5 VL 72B need?

Qwen 2.5 VL 72B (72B parameters) requires approximately 56.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Qwen 2.5 VL 72B?

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

What speed will Qwen 2.5 VL 72B run at on AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, Qwen 2.5 VL 72B achieves approximately 27.6 tokens per second decode speed with a time-to-first-token of 7020ms using Q4_K_M quantization.

Can AMD Instinct MI210 64GB run Qwen 2.5 VL 72B for coding?

For coding workloads, Qwen 2.5 VL 72B on AMD Instinct MI210 64GB receives a S grade with 27.6 tok/s and 33K context.

What context window can Qwen 2.5 VL 72B use on AMD Instinct MI210 64GB?

On AMD Instinct MI210 64GB, Qwen 2.5 VL 72B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI210 64GBSee all hardware for Qwen 2.5 VL 72B
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<iframe src="https://willitrunai.com/embed/qwen-2.5-vl-72b-on-instinct-mi210-64gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>

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