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HomeCan I run it?Mistral Small 24BMistral Small 24B on a Mac mini 24GB

Yes, but it is tight. Mistral Small 24B at Q4_K_M needs about 17.7 GB, and the Mac mini M6 24GB has 18.0 GB usable at a ~4k context.

Can I run Mistral Small 24B on a Mac mini 24GB?

Mistral Small 24B at Q4_K_M needs about 17.7 GB, and the Mac mini M6 24GB has 18.0 GB usable. That figure is 24 GB of unified memory on the spec sheet, of which 18.0 GB is usable for weights and cache, at 170 GB/s memory bandwidth. Mistral’s 24B Small instruct model, a dense mid-size alternative to the 27B–32B class. These are estimates from our formula, not measured benchmarks.

Quant that fits
Q4_K_M Fits, short context only
Memory needed
17.7 GB at Q4_K_M, ~4k context
Usable unified memory
18.0 GB of 24 GB unified memory
Est. tokens/sec
5–9 estimate

Mistral-Small-3.2-24B-Instruct-2506 · Mac mini M6 24GB · Everything this machine runs · Q4 vs Q8 vs FP16

Memory at each quant

QuantNeed vs 18.0 GBVerdict
Q4_K_M17.7 GBQ4Tight
Q8_030.3 GBQ8Won’t fit
FP1656.2 GBFP16Won’t fit

Estimated tokens per second

Estimate: 5–9 tokens/sec at Q4_K_M. This is a bandwidth-derived range, not a bench. Efficiency is a 45–80% unified-memory band from How we calculate.

Context headroom

At Q4_K_M, this machine has headroom out to about 4k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.

Context headroom for Mistral Small 24B on a Mac mini 24GB at Q4_K_M
ContextKV cache (FP16)Total at Q4_K_MVerdict
4k0.7 GB17.7 GBTight
8k1.3 GB18.4 GBWon’t fit
16k2.7 GB19.8 GBWon’t fit
32k5.4 GB22.4 GBWon’t fit
64k10.7 GB27.8 GBWon’t fit
128k21.5 GB38.5 GBWon’t fit

From the model’s config. Try other sizes in the VRAM calculator or see the context length guide.

What to do instead

Other hardware for Mistral Small 24B

Other models on a Mac mini 24GB

Quick answers

Can I run Mistral Small 24B on a Mac mini 24GB?
Yes, but it is tight. Mistral Small 24B at Q4_K_M needs about 17.7 GB, and the Mac mini M6 24GB has 18.0 GB usable.
How much VRAM does Mistral Small 24B need?
About 17.7 GB at Q4_K_M, 30.3 GB at Q8_0 and 56.2 GB at FP16, estimated for a ~4k context.
How fast is Mistral Small 24B on a Mac mini 24GB?
Our estimate is 5–9 tokens per second at Q4_K_M. It is not a measured benchmark.
What context length can I use?
At Q4_K_M, our KV estimate supports up to about 4k tokens before the cache pushes the total over usable memory.

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