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Gemma 2 27B

Google·27B·Gemma·8K ctx·2026-08

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Model size→Hardware requirement→Actual fit

Gemma 2 27B needs ~17.2–31.7 GB of VRAM depending on quantization. The bar is what it needs; the marker is the card's VRAM. Speed figures below are planning estimates.

8 GB

RTX 4060 · 3060 Ti

17.2
8
Q4_K_M · Est. ~3 tok/sSlow · CPU offload

12 GB

RTX 4070 · 3060 12G

17.2
12
Q4_K_M · Est. ~5 tok/sSlow · CPU offload

16 GB

RTX 4080 · M-series 16G

17.2
16
Q4_K_M · Est. ~8 tok/sSlow · CPU offload

24 GB

RTX 4090 · 3090

20.1
24
Q5_K_M · Est. ~64 tok/sComfortable

48 GB

A6000 · 2×24G

31.7
48
Q8_0 · Est. ~35 tok/sComfortable

02  — Quantizations

QuantFile sizeEst. VRAM
Q4_K_M16 GB17.2 GB
Q5_K_M18.9 GB20.1 GB
Q8_030.5 GB31.7 GB

03  — Runtimes & use

llama.cpp · Ollama · LM Studio

General

Memory and speed figures are planning estimates, not measured benchmarks. Memory includes a fixed allowance for KV cache and runtime overhead. Long-context prompts push VRAM use above the numbers shown here.