Rent a GPU

Can the AMD Radeon RX 9060 XT 16GB run Magistral Small 24B?

Radeon RX 9060 XT 16GB × Magistral Small 24B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q3_K_M13.5 GB of 16 GB
Weights 11.5 GBKV cache 1.3 GBRuntime 0.6 GB
QuantQ3_K_MNoticeably degraded
Speed~17tokens per second
Max context22Ktokens that fit at Q3_K_M
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Only just. Magistral Small 24B fits on the AMD Radeon RX 9060 XT 16GB at Q3_K_M, which costs noticeable quality. Expect about 17 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default magistral:24b download is Q4_K_M, which needs about 16.2 GB, more than the 16 GB available. Download the Q3_K_M GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the Radeon RX 9060 XT 16GB

Run it in the cloud

Want full quality? Run Magistral Small 24B on a bigger rented GPU.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

Rent a GPU on RunPodRent a GPU on Vast.ai

Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the AMD Radeon RX 9060 XT 16GB can use.

QuantQualityMemoryFits?Speed
FP16Full quality49.1 GBToo big—
Q8_0Near-lossless27 GBToo big—
Q6_KExcellent21.3 GBToo big—
Q5_K_MVery good18.7 GBToo big—
Q4_K_MGood, most popular16.2 GBToo big—
Q3_K_MNoticeably degraded13.5 GBFits~17 tok/s
Q2_KHeavily degraded10.8 GBFits~22 tok/s

Measured speed from real Radeon RX 9060 XT 16GB owners

Tokens per second that people measured on their own AMD Radeon RX 9060 XT 16GB, next to our estimate.

No one has measured Magistral Small 24B on the AMD Radeon RX 9060 XT 16GB yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have a Radeon RX 9060 XT 16GB? Add your real speed

One command times Magistral Small 24B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- magistral:24b

Windows (PowerShell)

$env:GPUFIT_MODEL="magistral:24b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run Magistral Small 24B comfortably

Check Radeon RX 7900 XT prices

Models that run well on the AMD Radeon RX 9060 XT 16GB

Frequently asked questions

Can AMD Radeon RX 9060 XT 16GB run Magistral Small 24B?

Only just. Magistral Small 24B fits on the AMD Radeon RX 9060 XT 16GB at Q3_K_M, which costs noticeable quality. Expect about 17 tokens/second. A card with more memory is a better experience.

How much VRAM does Magistral Small 24B need?

About 16.2 GB at Q4_K_M with 8,192 tokens of context, and about 49.1 GB at full FP16 precision.

How fast is Magistral Small 24B on the AMD Radeon RX 9060 XT 16GB?

Roughly 17 tokens per second at Q3_K_M, estimated from the AMD Radeon RX 9060 XT 16GB's 320 GB/s memory bandwidth.