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.

प्राथमिक स्रोत

कुल पैरामीटर12B

अनुमानित मेमोरी~9.4 GBINT4

कॉन्टेक्स्ट128KText + Image

LicenseGemma140+ languages

01 / बेहतर उपयोग

vision
knowledge work
multilingual

02 / अनुमानित फ़िट

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

03 / इसके साथ चलाएँ

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

सावधानी

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