mistral
24B parameters
Commercial OK

Devstral Small 2 24B

Mistral's coding-specialized Mistral Small 2 successor. Apache 2.0 — the rare commercial-OK Mistral coder.

License: Apache 2.0·Released Sep 25, 2025·Context: 131,072 tokens

Overview

Mistral's coding-specialized Mistral Small 2 successor. Apache 2.0 — the rare commercial-OK Mistral coder.

Family & lineage

How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.

Strengths

  • Apache 2.0
  • Coding-specialized Mistral lineage

Weaknesses

  • Community smaller than Qwen Coder

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M14.0 GB18 GB

Get the model

HuggingFace

Original weights

huggingface.co/mistralai/Devstral-Small-2-24B

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of Devstral Small 2 24B.

Compare alternatives

Models worth comparing

Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.

Frequently asked

What's the minimum VRAM to run Devstral Small 2 24B?

18GB of VRAM is enough to run Devstral Small 2 24B at the Q4_K_M quantization (file size 14.0 GB). Higher-quality quantizations need more.

Can I use Devstral Small 2 24B commercially?

Yes — Devstral Small 2 24B ships under the Apache 2.0, which permits commercial use. Always read the license text before deployment.

What's the context length of Devstral Small 2 24B?

Devstral Small 2 24B supports a context window of 131,072 tokens (about 131K).

Source: huggingface.co/mistralai/Devstral-Small-2-24B

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.