Can Magistral Small 2507 run on AMD Instinct MI325X 256GB?

YES — Runs Great

S87Excellent

○Estimated from fit model

Magistral Small 2507 needs ~43.6 GB VRAM. AMD Instinct MI325X 256GB has 256.0 GB. With Q4_K_M quantization, expect ~322 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) — 43.6 GB, 321.6 tok/s, Runs well

43.6 GB required256.0 GB available

17% VRAM used

Fit status

Runs well

Decode

321.6 tok/s

TTFT

602 ms

Safe context

131K

Memory

43.6 GB / 256.0 GB

Memory breakdown

Weights14.6 GB

KV Cache2.4 GB

Runtime0.9 GB

Headroom25.6 GB

See how fast it feels

See how fast it feelsMagistral Small 2507 on AMD Instinct MI325X 256GB
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: 321.6 tok/s decode · 602ms TTFT (warm) · 804 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	321.6 tok/s	350 ms	131K
Coding	S	Runs well	321.6 tok/s	602 ms	131K
Agentic Coding	S	Runs well	321.6 tok/s	876 ms	131K
Reasoning	S	Runs well	321.6 tok/s	711 ms	131K
RAG	S	Runs well	321.6 tok/s	1094 ms	131K

Quantization options

How Magistral Small 2507 (24B params) fits at each quantization level on AMD Instinct MI325X 256GB (256.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	9.4 GB	Low	A78
Q3_K_S	3	11.8 GB	Low	A78
NVFP4	4	13.4 GB	Medium	A78
Q4_K_M	4	14.6 GB	Medium	A78
Q5_K_M	5	17.3 GB	High	A78
Q6_K	6	19.7 GB	High	A78
Q8_0	8	25.7 GB	Very High	A79
F16Best for your GPU	16	49.2 GB	Maximum	A81

Get started

Copy-paste commands to run Magistral Small 2507 on your machine.

Run

ollama run magistral

Your hardware

More models your AMD Instinct MI325X 256GB can run

Model	Params	Grade	Decode
👁 Alibaba Qwen 3.5 397B A17B	397B	A	39.2 tok/s
👁 Mistral Devstral 2 123B Instruct	123B	S	63.5 tok/s
👁 Alibaba Qwen3-Coder 30B A3B Instruct	30.5B	S	662.3 tok/s
👁 Alibaba Qwen 3.5 27B	27B	S	287.2 tok/s
👁 Alibaba Qwen 3.6 27B	27B	S	179 tok/s

Frequently asked questions

See all results for AMD Instinct MI325X 256GB See all hardware for Magistral Small 2507

URL: https://willitrunai.com/can-run/magistral-small-2507-on-instinct-mi325x-256gb

⇱ Magistral Small 2507 on AMD Instinct MI325X 256GB? YES