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Google · Gemma 3
Will Gemma 3 27B IT run on my GPU?
27.4B parameters, 131,072-token context, Gemma Terms of Use. At Q4_K_M the weights come to about 15.3 GiB; add 1.5 GiB for the runtime and you need roughly 16.8 GiB of VRAM before context.
Weights by quant
GiBQ4_K_M · the everyday quant15.3 GiB
Q8_0 · near-lossless27.0 GiB
FP16 · full weights51.0 GiB
Runtime reserve1.5 GiB
Card by card
4 of 18 fit at Q4Headroom is what remains for the KV cache after weights and the 1.5 GiB reserve. How far it stretches depends on the architecture: grouped-query models are frugal, older dense models are not. If the table says tight, plan on a shorter context or a lower quant. Parameter count from the model's own card. The Buy column opens live Amazon listings; those links may earn us a commission.