Text Generation
•
0.3B
•
Updated
•
149k
•
508
Text Generation
•
0.3B
•
Updated
•
48k
•
943
Image-Text-to-Text
•
4B
•
Updated
•
830k
•
1.07k
Image-Text-to-Text
•
4B
•
Updated
•
52k
•
132
Text Generation
•
1.0B
•
Updated
•
42.6k
•
172
Text Generation
•
1.0B
•
Updated
•
2.36M
•
782
Image-Text-to-Text
•
12B
•
Updated
•
21.9k
•
79
Image-Text-to-Text
•
12B
•
Updated
•
1.4M
•
•
598
Image-Text-to-Text
•
27B
•
Updated
•
15.2k
•
115
Image-Text-to-Text
•
27B
•
Updated
•
1.55M
•
•
1.78k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
4B
•
Updated
•
2.33k
•
137
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
11.1k
•
223
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
176
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.29k
•
111
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
106
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
79.5k
•
226
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
63
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
18.9k
•
372
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
51
•
28
Note
^ GGUFs to be used in llama.cpp and Ollama. We strongly recommend using the IT models.
google/gemma-3-270m-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
279
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
504
•
11
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
616
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
27B
•
Updated
•
603
•
37
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
1.05k
•
•
16
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
•
1.0B
•
Updated
•
369
•
9
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
535
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
304
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
1.45k
•
12
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision