TokenAssemble

Can a Mac mini M4 Pro 24GB run Qwen2.5-1.5B-Instruct?

Yes. Qwen2.5-1.5B-Instruct needs 2.29GB at Q8_0 with llama.cpp and 8K context; the Mac mini M4 Pro 24GB has 24GB of unified memory (~75% GPU-addressable) (17.5GB usable) — grade A+, with decode speed in the interactive tier.

Mac mini M4 Pro 24GB · Qwen2.5-1.5B-Instruct · Q8_0

Fits — grade A+

Interactive
weights 1.65 GBKV cache 0.23 GBoverhead 0.40 GBpool 17.5 GBneeds 2.29 GB

assumes llama.cpp · batch 1 · 8K context · fp16 KV cache

$1,599 MSRP · as of 2026-07-11

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Every quant, graded

Mac mini M4 Pro 24GB × Qwen2.5-1.5B-Instruct, llama.cpp, 8K context.

QuantFile sizeFitSpeed tier
Q8_01.6 GBFits · A+interactive
Q6_K1.3 GBFits · A+interactive
Q5_K_M1.1 GBFits · A+interactive
Q4_K_M1.0 GBFits · A+interactive

Qwen2.5-1.5B-Instruct on similar hardware

More models on the Mac mini M4 Pro 24GB

Verdict computed from published specs and measured GGUF file sizes — see how the math works.