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Can the NVIDIA RTX 5060 run Devstral Small 24B?

RTX 5060 × Devstral Small 24B8K context
NoDoes not fit in memory
Memory at Q4_K_M16.2 GB of 8 GB
Weights 14.3 GBKV cache 1.3 GBRuntime 0.6 GB
On the GPU42%of the Q4_K_M weights
In system RAM8.2 GBthe rest spills over
Offload speed~4tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, Devstral Small 24B needs about 16.2 GB, but the NVIDIA RTX 5060 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

Run it on a rented GPU

On a cloud GPU with enough memory, the same command you'd use locally works:

ollama run devstral:24b

At Q4_K_M it needs about 16.2 GB, so pick a GPU with at least 24 GB.

New to this? Step-by-step setup for the RTX 5060

Run it in the cloud

Too big for the NVIDIA RTX 5060? Run Devstral Small 24B on a rented GPU instead.

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

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 8 GB the NVIDIA RTX 5060 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 GBToo big—
Q2_KHeavily degraded10.8 GBToo big—

Measured speed from real RTX 5060 owners

Tokens per second that people measured on their own NVIDIA RTX 5060, next to our estimate.

No one has measured Devstral Small 24B on the NVIDIA RTX 5060 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 5060? Add your real speed

One command times Devstral 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 -- devstral:24b

Windows (PowerShell)

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

How the benchmark works

GPUs that run Devstral Small 24B comfortably

Check Radeon RX 7900 XT prices

Models that run well on the NVIDIA RTX 5060

Frequently asked questions

Can NVIDIA RTX 5060 run Devstral Small 24B?

No. Even at Q4_K_M, Devstral Small 24B needs about 16.2 GB, but the NVIDIA RTX 5060 has 8 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does Devstral 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 Devstral Small 24B on the NVIDIA RTX 5060?

It does not fit in the NVIDIA RTX 5060's memory, so most layers would run from system RAM and generation would be very slow.