Budget Pick
NVIDIA GeForce RTX 508016 GB VRAM · ~64 tok/s
Lowest cost that meets recommended VRAM
Check price on AmazonCompatibility Check
Can I Run Devstral Small 2 24B?
Devstral Small 2 24B is a 24B parameter model from the Mistral family. Check if your hardware can handle it.
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57% of 923 scanned PCs run Devstral Small 2 24B fully on GPU.
640 keep at least some work on GPU. Based on anonymous compatibility checks.
Full GPU
523Hybrid CPU+GPU
117CPU Only
127Can't Run
156Test Your Hardware
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Hardware Requirements
Beginner tip: minimum values mean the model can start, while recommended values usually feel smoother during real use. VRAM is your GPU's dedicated memory; RAM is your system memory used as fallback. See the full glossary.
| Quantization | File Size | Min VRAM | Recommended VRAM | Min RAM | Context |
|---|---|---|---|---|---|
| Q4_K_MEasiest | 12 GB | 13.8 GB | 15.6 GB | 18 GB | 8K / 8K |
| Q5_K_M | 15 GB | 17.3 GB | 19.5 GB | 23 GB | 8K / 8K |
| Q8_0 | 24 GB | 27.6 GB | 31.2 GB | 36 GB | 8K / 8K |
| FP16 | 48 GB | 55.2 GB | 62.4 GB | 72 GB | 8K / 8K |
Not sure your GPU has enough VRAM? Compare GPUs that can run Devstral Small 2 24B.
Recommended GPUs for Devstral Small 2 24B
These GPUs meet the recommended 15.6 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.
Fastest Pick
NVIDIA GeForce RTX 509032 GB VRAM · ~119.5 tok/s
Highest estimated throughput
Check price on AmazonBest Value
NVIDIA GeForce RTX 5070 Ti16 GB VRAM · ~59.7 tok/s
Best speed per dollar of VRAM
Check price on AmazonNeed a detailed comparison? See all GPU rankings for Devstral Small 2 24B.
Strong OpenClaw Model Candidate
Devstral Small 2 24B is a common OpenClaw pick for local agent workflows. Use this model with Ollama, llama.cpp, or LM Studio, then confirm full OpenClaw hardware compatibility.
Why choose Devstral Small 2 24B?
General-purpose local model brief
- • Pilot testing with your own tasks
- • Controlled local experiments
Quantization tip: Benchmark at least two quantizations and validate with a task-specific eval set before production use.