Mistral AI · llama
Can I run codestral?
Codestral is Mistral AI’s first-ever code model designed for code generation tasks.
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 contextcodestral 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 |
|---|---|---|---|
| codestral:22b22B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_0 | 11.7 GB | ~13.9 GB |
| codestral:22b-v0.1-q4_K_M22B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q4_K_M | 12.4 GB | ~14.7 GB |
| codestral:22b-v0.1-q5_K_M22B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q5_K_M | 14.6 GB | ~17.1 GB |
| codestral:22b-v0.1-q6_K22B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q6_K | 17.0 GB | ~19.6 GB |
| codestral:22b-v0.1-q8_022B parameters (tag)32K documented maximum contextBuild sourceCatalog checked 2026-10-13 | Q8_0 | 22.0 GB | ~25.0 GB |
Showing the 5 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 codestral locally
- 1.Install Ollama for Windows, macOS or Linux.
- 2.Download this exact build in a terminal:
ollama pull codestral:22b - 3.Check the source for the build's task. For text generation, run
ollama run codestral:22b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.
Frequently asked questions about codestral
- How much VRAM do I need to run codestral?
- At 4K context, the smallest published build of codestral (Q4_0) needs roughly 13.9 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 codestral without a dedicated GPU?
- A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 13.9 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 codestral download?
- The smallest published build is 11.7 GB. There are 5 builds in total, the largest being 22.0 GB. Leave some extra free disk space beyond the download itself.
- How do I run codestral locally?
- Install Ollama, then download a specific build with "ollama pull codestral:22b". 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 codestral run on your PC?
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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