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Can the NVIDIA RTX 2080 Ti run Devstral Small 24B?

RTX 2080 Ti × Devstral Small 24B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q2_K10.8 GB of 11 GB
Weights 8.9 GBKV cache 1.3 GBRuntime 0.6 GB
QuantQ2_KHeavily degraded
Speed~42tokens per second
Max context8Ktokens that fit at Q2_K
  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. Devstral Small 24B fits on the NVIDIA RTX 2080 Ti at Q2_K, which costs noticeable quality. Expect about 42 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default devstral:24b download is Q4_K_M, which needs about 16.2 GB, more than the 11 GB available. Download the Q2_K GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 2080 Ti

Run it in the cloud

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

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 11 GB the NVIDIA RTX 2080 Ti 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 GBFits~42 tok/s

Measured speed from real RTX 2080 Ti owners

Tokens per second that people measured on their own NVIDIA RTX 2080 Ti, next to our estimate.

No one has measured Devstral Small 24B on the NVIDIA RTX 2080 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 2080 Ti? 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 2080 Ti

Frequently asked questions

Can NVIDIA RTX 2080 Ti run Devstral Small 24B?

Only just. Devstral Small 24B fits on the NVIDIA RTX 2080 Ti at Q2_K, which costs noticeable quality. Expect about 42 tokens/second. A card with more memory is a better experience.

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 2080 Ti?

Roughly 42 tokens per second at Q2_K, estimated from the NVIDIA RTX 2080 Ti's 616 GB/s memory bandwidth.