Gemma 3 27B Instruct
Gemma 3 27B Instruct loads in 21 GB at Q4_K_M, comfortably from 36 GB of memory, Macs included, starting at the MacBook Pro M5 Pro 48GB. Below is the memory math we ran for it, the smallest card that fits, and the fastest machine we track.
How much memory does Gemma 3 27B Instruct need?
Gemma 3 27B Instruct is a 27B dense model built for quality, coding. The weights alone take 21 GB at Q4_K_M; add context and the OS, and it belongs in the 36 GB memory class. Every number below comes from the ModelFit engine: speeds are estimates, labeled est., because we do not benchmark hardware ourselves.
KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).
Which machines run Gemma 3 27B Instruct?
Verdicts come from the same engine that powers our fit checker: memory capacity first, bandwidth for speed. How we compute these numbers · Hugging Face model card
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Frequently asked questions
How much memory does Gemma 3 27B Instruct need?
21 GB for the Q4_K_M weights, plus ~4.0 GB of KV-cache at 16k context, about 25.0 GB total. Comfortable from 36 GB of VRAM or unified memory.
Does Gemma 3 27B Instruct run on a Mac?
Yes, from the MacBook Pro M5 Pro 48GB (~15 tok/s est.). Unified memory means the RAM budget is the only limit.
What is the smallest GPU for Gemma 3 27B Instruct?
The NVIDIA GeForce RTX 3090 (24 GB VRAM) is the smallest tracked card that runs Gemma 3 27B Instruct comfortably, ~31 tok/s est.
Cite this page
ModelFit: Gemma 3 27B Instruct, specs, memory math and hardware verdicts. https://modelfit.io/models/gemma3-27b/ (dataset updated 2026-10-13, CC BY 4.0).