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Compatibility Check

Can I Run Devstral 2 123B?

Devstral 2 123B is a 123B parameter model from the Mistral family. Check if your hardware can handle it.

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Social proof

6% of 936 scanned PCs run Devstral 2 123B fully on GPU.

269 keep at least some work on GPU. Based on anonymous compatibility checks.

Full GPU
56
Hybrid CPU+GPU
213
CPU Only
89
Can't Run
578

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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.

QuantizationFile SizeMin VRAMRecommended VRAMMin RAMContext
Q4_K_MEasiest61.5 GB70.7 GB80 GB93 GB8K / 8K
Q5_K_M76.9 GB88.4 GB100 GB116 GB8K / 8K
Q8_0123 GB141.5 GB159.9 GB185 GB8K / 8K
FP16246 GB282.9 GB319.8 GB369 GB8K / 8K

Not sure your GPU has enough VRAM? Compare GPUs that can run Devstral 2 123B.

Recommended GPUs for Devstral 2 123B

These GPUs meet the recommended 80 GB VRAM for the Q4_K_M quantization. Estimated speeds are approximate and assume full GPU offloading.

Need a detailed comparison? See all GPU rankings for Devstral 2 123B.

Strong OpenClaw Model Candidate

Devstral 2 123B 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.

OpenClaw Setup GuideOpenClaw Requirements Checker

Why choose Devstral 2 123B?

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.

Full Model DetailsBest GPU for Devstral 2 123BCheck on RTX 4090Devstral 2 123B pros & consSetup GuidesDecision WizardBrowse All Models