Mistral AI · llama
Can I run magistral?
Magistral is a small, efficient reasoning model with 24B parameters.
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 contextmagistral 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 |
|---|---|---|---|
| magistral:24b24B parameters (tag)39K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 13.3 GB | ~15.4 GB |
| magistral:24b-small-2506-q8_024B parameters (tag)39K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 23.3 GB | ~26.2 GB |
| magistral:24b-small-2506-fp1624B parameters (tag)39K documented maximum contextBuild sourceCatalog checked 2026-10-13 | F16 | 43.9 GB | ~48.4 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 magistral locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull magistral:24b - 3.Check the source for the build's task. For text generation, run
ollama run magistral: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 magistral
- How much VRAM do I need to run magistral?
- At 4K context, the smallest published build of magistral (Q4_K_M) needs roughly 15.4 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 magistral without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 15.4 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 magistral download?
- The smallest published build is 13.3 GB. There are 3 builds in total, the largest being 43.9 GB. Leave some extra free disk space beyond the download itself.
- How do I run magistral locally?
- Install Ollama, then download a specific build with "ollama pull magistral: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 magistral run on your PC?
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Compare with similar models
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Model data from the official Ollama registry · verified 13/10/2026