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Can the NVIDIA RTX 5090 run Magistral Small 24B?

RTX 5090 × Magistral Small 24B8K context
YesRuns fully on the GPU
Memory at Q8_027 GB of 32 GB
Weights 25.1 GBKV cache 1.3 GBRuntime 0.6 GB
QuantQ8_0Near-lossless
Speed~43tokens per second
Max context37Ktokens that fit at Q8_0
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Yes. The NVIDIA RTX 5090 can run Magistral Small 24B fully in VRAM at Q8_0 (near-lossless), using about 27 GB of the 32 GB available, at roughly 43 tokens/second.

Try other context lengths

Run it with Ollama

With Ollama installed, one command downloads and starts Magistral Small 24B:

ollama run magistral:24b

Ollama's default download is Q4_K_M (about 16.2 GB here). You have room for Q8_0, which is near-lossless: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX 5090

Run it in the cloud

No NVIDIA RTX 5090? Run Magistral Small 24B in the cloud.

Rent a cloud GPU by the hour. No upfront cost, stop any time.

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 32 GB the NVIDIA RTX 5090 can use.

QuantQualityMemoryFits?Speed
FP16Full quality49.1 GBToo big—
Q8_0Near-lossless27 GBFits~43 tok/s
Q6_KExcellent21.3 GBFits~56 tok/s
Q5_K_MVery good18.7 GBFits~64 tok/s
Q4_K_MGood, most popular16.2 GBFits~75 tok/s
Q3_K_MNoticeably degraded13.5 GBFits~93 tok/s
Q2_KHeavily degraded10.8 GBFits~121 tok/s

Measured speed from real RTX 5090 owners

Tokens per second that people measured on their own NVIDIA RTX 5090, next to our estimate.

No one has measured Magistral Small 24B on the NVIDIA RTX 5090 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5090? 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

Models that run well on the NVIDIA RTX 5090

Frequently asked questions

Can NVIDIA RTX 5090 run Magistral Small 24B?

Yes. The NVIDIA RTX 5090 can run Magistral Small 24B fully in VRAM at Q8_0 (near-lossless), using about 27 GB of the 32 GB available, at roughly 43 tokens/second.

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 NVIDIA RTX 5090?

Roughly 43 tokens per second at Q8_0, estimated from the NVIDIA RTX 5090's 1792 GB/s memory bandwidth.