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Mistral AI - Dense - verified

Run Devstral Small 2 24B Instruct 2512 locally

Devstral Small 2 24B Instruct 2512 is a 24B dense model from Mistral AI with a 262K-token context window, released under Apache 2.0 (commercial use is allowed); the smallest listed download is 14.3 GB, the Q4_K_M GGUF build from unsloth/Devstral-Small-2-24B-Instruct-2512-GGUF.

Official weights: mistralai/Devstral-Small-2-24B-Instruct-2512 - modalities: text, image

Total params
24B
Architecture
Dense
Context
262K
Smallest download
14.3 GB

Fits in

Smallest download at most 85% of memory

Downloads

The official weights and every quantization listed for this model, with file sizes from Hugging Face.

Devstral Small 2 24B Instruct 2512 downloads and file sizes
DownloadFormatSizeRepo
Official weightsFP825.8 GBmistralai/Devstral-Small-2-24B-Instruct-2512
Q4_K_MSmallest listedGGUF14.3 GBunsloth/Devstral-Small-2-24B-Instruct-2512-GGUF
Q8_0GGUF25.1 GBunsloth/Devstral-Small-2-24B-Instruct-2512-GGUF
4bitMLX15.1 GBmlx-community/Devstral-Small-2-24B-Instruct-2512-4bit

GB is decimal: 1 GB = 10^9 bytes. Add memory for the context and the operating system on top of the file size.

Run it

Copied verbatim from the page linked under each command. Server commands from model cards often assume a multi-GPU node; check the flags before you run them.

Ollama

Terminal
ollama run devstral-small-2

Source: ollama.com/library/devstral-small-2

vLLM

Terminal
vllm serve mistralai/Devstral-Small-2-24B-Instruct-2512 \
    --max-model-len 262144 --tensor-parallel-size 2 \
    --tool-call-parser mistral --enable-auto-tool-choice

Source: huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512

SGLang

Terminal
python -m sglang.launch_server --model-path mistralai/Devstral-Small-2-24B-Instruct-2512 --host 0.0.0.0 --port 30000 --tp 2 --tool-call-parser mistral

Source: huggingface.co/mistralai/Devstral-Small-2-24B-Instruct-2512

Not sure which runtime to use? Compare local LLM runtimes by platform, API and features.

License

License
Apache 2.0apache-2.0
Commercial use
Commercial use: YesCommercial use is allowed.
Gated download
No. The files download directly.

Worth knowing

Devstral Small 2 is the Apache 2.0 agentic coding model from the Devstral 2 release and is small enough to run on a single high-memory workstation.

Released (per the announcement).

FAQ

How big is the Devstral Small 2 24B Instruct 2512 download?

The official FP8 weights in mistralai/Devstral-Small-2-24B-Instruct-2512 are 25.8 GB. The smallest listed download is 14.3 GB, the Q4_K_M GGUF build from unsloth/Devstral-Small-2-24B-Instruct-2512-GGUF. Plan for more memory than the file size: the context (KV cache) and the operating system need room too.

Can I use Devstral Small 2 24B Instruct 2512 commercially?

Devstral Small 2 24B Instruct 2512 is released under Apache 2.0, and commercial use is allowed. The license text is at https://www.apache.org/licenses/LICENSE-2.0.

How much memory do I need for Devstral Small 2 24B Instruct 2512?

By this directory's rule of thumb it fits in 24 GB and up: the smallest listed download, 14.3 GB, is at most 85% of 24 GB, which leaves room for the context and the operating system.

How do I run Devstral Small 2 24B Instruct 2512 with Ollama?

Run "ollama run devstral-small-2", as shown at https://ollama.com/library/devstral-small-2. The Ollama library lists the devstral-small-2:24b tag at 15GB.

What is the context length of Devstral Small 2 24B Instruct 2512?

262,144 tokens. A longer context needs more memory for the KV cache, so you can run with a shorter one when memory is tight.

Sources

Last verified from the pages below.

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