Mistral AI
Can the Ryzen AI Max+ 395 (64 GB) run Mistral Small 3.2 24B?
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Yes. Mistral Small 3.2 24B is a 15 GB download (Q4_K_M). The Ryzen AI Max+ 395 (64 GB) gives the GPU 48 GB, leaving about 33 GB for context and runtime (our arithmetic).
Does it fit?
| Mistral Small 3.2 24B memory | 15 GB at Q4_K_M (Ollama: mistral-small3.2 tags) |
|---|---|
| Ryzen AI Max+ 395 (64 GB) GPU memory | 64 GB unified memory, of which AMD says up to 48 GB can be dedicated graphics memory through Variable Graphics Memory. We use 48 GB for fit. (AMD) |
| Left over | About 33 GB (our arithmetic) |
| Verdict | Fits 4 GB or more to spare (our estimate bands) |
Recommended quantization and context
Use the Q4_K_M build that Ollama's tag downloads; the memory figure above is for that build. The model supports up to 128K of context, but longer context uses more memory. Ollama starts at a 4096-token context by default (Ollama FAQ).
With about 33 GB spare you have room to raise the context. Raise it in steps and re-check with ollama ps.
On this mini PC the GPU's share of memory depends on settings. On Windows, set Variable Graphics Memory in AMD Software (Performance, then Tuning); on Linux, see AMD's ROCm notes on BIOS VRAM and GTT. Details are in the install guide.
Run it
ollama run mistral-small3.2:24bThen check it's on the GPU:
ollama psThe PROCESSOR column should read 100% GPU. Driver setup for AMD cards on Windows, Linux and macOS, plus common fixes, is in the install and run section.
Where to buy the Ryzen AI Max+ 395 (64 GB)
Minisforum MS-S1 MAX 64GB / 2TB (Ryzen AI Max+ 395)
$2,599 Minisforum · checked Oct 27, 2026, 12:40 PM CT
Listed as available in the store data
Check price at Minisforum (opens in a new tab)FAQ
Can the Ryzen AI Max+ 395 (64 GB) run Mistral Small 3.2 24B?
Yes: Mistral Small 3.2 24B needs 15 GB (Q4_K_M, Ollama library) and the Ryzen AI Max+ 395 (64 GB) gives the GPU 48 GB, leaving about 33 GB. That leaves room to raise the context above the 4096-token default. The fit bands are our estimate.
How much VRAM does Mistral Small 3.2 24B need?
15 GB for the Q4_K_M build in the Ollama library, plus roughly 1–4 GB for context and runtime (our estimate). See the 16 GB page for other models that fit.
What command runs Mistral Small 3.2 24B?
ollama run mistral-small3.2:24b. Then run "ollama ps" and check the PROCESSOR column reads 100% GPU.
How fast is Mistral Small 3.2 24B on the Ryzen AI Max+ 395 (64 GB)?
We don't list a speed because we have no sourced measurement for this pairing. Speed depends on memory bandwidth, quantization and context length.