MODEL / GOOGLE

Gemma 3 12B

Google reports an INT4 path on an 8 GB laptop GPU, but context and runtime overhead can make 8 GB tight.

Primaire bron

Totale parameters12B

Geschat geheugen~9.4 GBINT4

Context128KText + Image

LicenseGemma140+ languages

01 / GESCHIKT VOOR

vision
knowledge work
multilingual

02 / GESCHATTE FIT

Mac Studio M5 Ultra · 96 GBRuim Mac mini M6 · 24 GBRuim MacBook Pro M5 Max · 64 GBRuim Framework Desktop · Ryzen AI Max+ 395 · 128 GBRuim Radeon AI PRO R9700 · 32 GBRuim

03 / DRAAI MET

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 gemma3:12b

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

LM StudioEasySearch “google/gemma-3-12b-it” → Load a Q4/INT4 build → Start Server

MLX LMMediummlx_lm.server --model google/gemma-3-12b-it

Let op

Google reports an INT4 path on an 8 GB laptop GPU, but context and runtime overhead can make 8 GB tight.