Text Generation
•
Updated
•
129k
•
548
Text Generation
•
Updated
•
108k
•
976
Image-Text-to-Text
•
Updated
•
996k
•
1.16k
Image-Text-to-Text
•
4B
•
Updated
•
301k
•
145
Text Generation
•
Updated
•
37.3k
•
182
Text Generation
•
Updated
•
1.57M
•
831
Image-Text-to-Text
•
12B
•
Updated
•
15.5k
•
88
Image-Text-to-Text
•
Updated
•
1.41M
•
•
646
Image-Text-to-Text
•
Updated
•
33.6k
•
118
Image-Text-to-Text
•
Updated
•
1.62M
•
•
1.86k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
Updated
•
2.44k
•
145
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
10.4k
•
234
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
108
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.17k
•
114
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
75
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
8.37k
•
239
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
139
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
8.36k
•
378
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
100
•
29
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
•
380
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
466
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
671
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
Updated
•
1.66k
•
38
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
15.2k
•
•
56
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
•
1.0B
•
Updated
•
212
•
9
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
320
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
243
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
1.18k
•
12
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision