Mistral AI · mistral3
Can I run devstral-small-2?
24B model that excels at using tools to explore codebases, editing multiple files and power software engineering agents.
Parameter counts and memory belong to each build below. A family can contain several sizes and tasks; fitting in memory is not a quality ranking.
Calculate memory for a build and contextdevstral-small-2 system requirements
Memory needed at 4K context, counting model weights, KV cache, compute buffers and runtime overhead. Download sizes come from the official Ollama registry.
| Build | Quantization | Download | Memory needed |
|---|---|---|---|
| devstral-small-2:24b24B parameters (tag)384K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 14.1 GB | ~16.3 GB |
| devstral-small-2:24b-instruct-2512-q8_024B parameters (tag)384K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 24.1 GB | ~27.1 GB |
| devstral-small-2:24b-instruct-2512-fp1624B parameters (tag)384K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 44.7 GB | ~49.3 GB |
Showing the 3 smallest non-alias builds. Choose any build and change the context. A context above the build's documented maximum is a hypothetical calculation, not a supported setting.
How to run devstral-small-2 locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull devstral-small-2:24b - 3.Check the source for the build's task. For text generation, run
ollama run devstral-small-2:24b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about devstral-small-2
- How much VRAM do I need to run devstral-small-2?
- At 4K context, the smallest published build of devstral-small-2 (Q4_K_M) needs roughly 16.3 GB of GPU memory once weights, KV cache, compute buffers and runtime overhead are counted. Bigger quantizations and longer context windows need more. It can also run partly or entirely on the CPU using system RAM, more slowly.
- Can I run devstral-small-2 without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 16.3 GB at 4K context, plus headroom for your operating system. Check the build's runtime requirements. We have not measured its speed on your CPU.
- How big is the devstral-small-2 download?
- The smallest published build is 14.1 GB. There are 3 builds in total, the largest being 44.7 GB. Leave some extra free disk space beyond the download itself.
- How do I run devstral-small-2 locally?
- Install Ollama, then download a specific build with "ollama pull devstral-small-2:24b". For a build that supports text generation, use ollama run with the same tag. Check the model source for its task and prompt format.
Will devstral-small-2 run on your PC?
Scan your hardware once and get a verdict for this model and every build — free, no account.
Compare with similar models
Or start from your memory: 8 GB VRAM, 12 GB VRAM, 16 GB VRAM, 24 GB VRAM or a 16 GB Mac.
Model data from the official Ollama registry · verified 13/10/2026