Can Qwen 2.5 VL 72B run on AMD Instinct MI300X 192GB?

YES — Runs Great

S90Excellent

○Estimated from fit model

Qwen 2.5 VL 72B needs ~68.9 GB VRAM. AMD Instinct MI300X 192GB has 192.0 GB. With Q4_K_M quantization, expect ~102 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) — 68.9 GB, 102.4 tok/s, Runs well

68.9 GB required192.0 GB available

36% VRAM used

Fit status

Runs well

Decode

102.4 tok/s

TTFT

1891 ms

Safe context

33K

Memory

68.9 GB / 192.0 GB

Memory breakdown

Weights43.9 GB

KV Cache4.9 GB

Runtime0.9 GB

Headroom19.2 GB

See how fast it feels

See how fast it feelsQwen 2.5 VL 72B on AMD Instinct MI300X 192GB
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: 102.4 tok/s decode · 1.9s TTFT (warm) · 256 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	S	Runs well	102.4 tok/s	1032 ms	33K
Coding	S	Runs well	102.4 tok/s	1891 ms	33K
Agentic Coding	S	Runs well	102.4 tok/s	2751 ms	33K
Reasoning	S	Runs well	102.4 tok/s	2235 ms	33K
RAG	S	Runs well	102.4 tok/s	3439 ms	33K

Quantization options

How Qwen 2.5 VL 72B (72B params) fits at each quantization level on AMD Instinct MI300X 192GB (192.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	28.1 GB	Low	A79
Q3_K_S	3	35.3 GB	Low	A80
NVFP4	4	40.3 GB	Medium	A80
Q4_K_M	4	43.9 GB	Medium	A81
Q5_K_M	5	51.8 GB	High	A82
Q6_K	6	59.0 GB	High	A83
Q8_0	8	77.0 GB	Very High	A85
F16Best for your GPU	16	147.6 GB	Maximum	S88

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

Your hardware

More models your AMD Instinct MI300X 192GB can run

Model	Params	Grade	Decode
👁 Mistral Devstral 2 123B Instruct	123B	S	59.9 tok/s
👁 Alibaba Qwen 3.5 122B A10B	122B	S	166.2 tok/s
👁 DeepSeek DeepSeek V4 Flash	284B	S	89.1 tok/s
👁 Mistral Mistral Small 4 119B	119B	S	180.2 tok/s
👁 OpenAI GPT-OSS 120B	117B	S	63 tok/s

Frequently asked questions

See all results for AMD Instinct MI300X 192GB See all hardware for Qwen 2.5 VL 72B

URL: https://willitrunai.com/can-run/qwen-2.5-vl-72b-on-instinct-mi300x-192gb

⇱ Qwen 2.5 VL 72B on AMD Instinct MI300X 192GB? YES