MODEL / GOOGLE

Gemma 3 27B

Google's 24 GB fit example is for the INT4 variant and excludes some runtime overhead.

Source primaire

Paramètres totaux27B

Mémoire estimée~20.5 GBINT4

Contexte128KText + Image

LicenseGemma140+ languages

01 / IDÉAL POUR

vision
knowledge work
quality chat

02 / COMPATIBILITÉ ESTIMÉE

Mac Studio M5 Ultra · 96 GBConfortable MacBook Pro M5 Max · 64 GBConfortable Framework Desktop · Ryzen AI Max+ 395 · 128 GBConfortable Radeon AI PRO R9700 · 32 GBConfortable NVIDIA DGX Spark · 128 GBConfortable

03 / DÉPLOYER AVEC

These are runtime examples, not validated installation recipes. Fit estimates assume quantized files; official repositories may hold full-precision weights. MLX, GGUF and TensorRT require matching conversions or engines.

OllamaEasyollama run gemma3:27b

llama.cppMediumllama-server -m /path/to/verified-model.gguf --port 9931

LM StudioEasySearch “google/gemma-3-27b-it” → Load a Q4/INT4 build → Start Server

MLX LMMediummlx_lm.server --model google/gemma-3-27b-it

Attention

Google's 24 GB fit example is for the INT4 variant and excludes some runtime overhead.