Can the NVIDIA RTX 4070 run Devstral Small 24B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
Only just. Devstral Small 24B fits on the NVIDIA RTX 4070 at Q2_K, which costs noticeable quality. Expect about 34 tokens/second. A card with more memory is a better experience.
Run it with Ollama
Ollama's default devstral:24b download is Q4_K_M, which needs about 16.2 GB, more than the 12 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 4070
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 12 GB the NVIDIA RTX 4070 can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 49.1 GB | Too big | — | |
| Q8_0 | Near-lossless | 27 GB | Too big | — | |
| Q6_K | Excellent | 21.3 GB | Too big | — | |
| Q5_K_M | Very good | 18.7 GB | Too big | — | |
| Q4_K_M | Good, most popular | 16.2 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 13.5 GB | Too big | — | |
| Q2_K | Heavily degraded | 10.8 GB | Fits | ~34 tok/s |
Measured speed from real RTX 4070 owners
Tokens per second that people measured on their own NVIDIA RTX 4070, next to our estimate.
No one has measured Devstral Small 24B on the NVIDIA RTX 4070 yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an RTX 4070? 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:24bWindows (PowerShell)
$env:GPUFIT_MODEL="devstral:24b"; irm https://gpufit.dev/bench.ps1 | iexGPUs that run Devstral Small 24B comfortably
Frequently asked questions
Can NVIDIA RTX 4070 run Devstral Small 24B?
Only just. Devstral Small 24B fits on the NVIDIA RTX 4070 at Q2_K, which costs noticeable quality. Expect about 34 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 4070?
Roughly 34 tokens per second at Q2_K, estimated from the NVIDIA RTX 4070's 504 GB/s memory bandwidth.