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⇱ Magistral Small 2507 on AMD Instinct MI210 64GB? YES


Can Magistral Small 2507 run on AMD Instinct MI210 64GB?

YES — Runs Great

S91Excellent
Estimated from fit model

Magistral Small 2507 needs ~24.4 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~82 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
Share:

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) — 24.4 GB, 81.8 tok/s, Runs well
24.4 GB required64.0 GB available
38% VRAM used

Fit status

Runs well

Decode

81.8 tok/s

TTFT

2367 ms

Safe context

131K

Memory

24.4 GB / 64.0 GB

Memory breakdown

Weights14.6 GB
KV Cache2.4 GB
Runtime0.9 GB
Headroom6.4 GB

See how fast it feels

See how fast it feelsMagistral Small 2507 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: 81.8 tok/s decode · 2.4s TTFT (warm) · 205 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
ChatSRuns well81.8 tok/s1291 ms131K
CodingSRuns well81.8 tok/s2367 ms131K
Agentic CodingSRuns well81.8 tok/s3443 ms131K
ReasoningSRuns well81.8 tok/s2797 ms131K
RAGSRuns well81.8 tok/s4304 ms131K

Quantization options

How Magistral Small 2507 (24B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
9.4 GB
LowA83
Q3_K_S
3
11.8 GB
LowA83
NVFP4
4
13.4 GB
MediumA83
Q4_K_M
4
14.6 GB
MediumA84
Q5_K_M
5
17.3 GB
HighA84
Q6_K
6
19.7 GB
HighA85
Q8_0
8
25.7 GB
Very HighS86
F16Best for your GPU
16
49.2 GB
MaximumS89

Get started

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

Run

ollama run magistral

Your hardware

More models your AMD Instinct MI210 64GB can run

ModelParamsGradeDecodeCapabilities
👁 Alibaba
Qwen3-Coder 30B A3B Instruct
30.5BS168.4 tok/s
👁 Alibaba
Qwen 3.5 27B
27BS73 tok/s
👁 Alibaba
Qwen 3.6 27B
27BS45.5 tok/s
👁 Alibaba
Qwen 3.6 35B A3B
35BS141.5 tok/s
👁 Alibaba
Qwen3-VL 30B A3B Instruct
30BS174.2 tok/s

Frequently asked questions

See all results for AMD Instinct MI210 64GBSee all hardware for Magistral Small 2507