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Can the NVIDIA RTX PRO 6000 Blackwell run Magistral Small 24B?

RTX PRO 6000 Blackwell × Magistral Small 24B8K context
YesRuns fully on the GPU
Memory at FP1649.1 GB of 96 GB
Weights 47.2 GBKV cache 1.3 GBRuntime 0.6 GB
QuantFP16Full quality
Speed~23tokens per second
Max context40Kthe model's full window
  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 PRO 6000 Blackwell can run Magistral Small 24B fully in VRAM at FP16 (full quality), using about 49.1 GB of the 96 GB available, at roughly 23 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 FP16, which is full quality: pick that GGUF in LM Studio or from Hugging Face.

New to this? Step-by-step setup for the RTX PRO 6000 Blackwell

Run it in the cloud

No NVIDIA RTX PRO 6000 Blackwell? 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 96 GB the NVIDIA RTX PRO 6000 Blackwell can use.

QuantQualityMemoryFits?Speed
FP16Full quality49.1 GBFits~23 tok/s
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 PRO 6000 Blackwell owners

Tokens per second that people measured on their own NVIDIA RTX PRO 6000 Blackwell, next to our estimate.

No one has measured Magistral Small 24B on the NVIDIA RTX PRO 6000 Blackwell yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX PRO 6000 Blackwell? 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 PRO 6000 Blackwell

Frequently asked questions

Can NVIDIA RTX PRO 6000 Blackwell run Magistral Small 24B?

Yes. The NVIDIA RTX PRO 6000 Blackwell can run Magistral Small 24B fully in VRAM at FP16 (full quality), using about 49.1 GB of the 96 GB available, at roughly 23 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 PRO 6000 Blackwell?

Roughly 23 tokens per second at FP16, estimated from the NVIDIA RTX PRO 6000 Blackwell's 1792 GB/s memory bandwidth.