Text Generation
•
Updated
•
129k
•
546
Text Generation
•
Updated
•
80k
•
976
Image-Text-to-Text
•
Updated
•
960k
•
1.15k
Image-Text-to-Text
•
4B
•
Updated
•
362k
•
145
Text Generation
•
Updated
•
36.5k
•
182
Text Generation
•
Updated
•
1.58M
•
829
Image-Text-to-Text
•
12B
•
Updated
•
14.3k
•
88
Image-Text-to-Text
•
Updated
•
1.39M
•
•
646
Image-Text-to-Text
•
Updated
•
8.95k
•
118
Image-Text-to-Text
•
Updated
•
1.59M
•
•
1.85k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
Updated
•
2.45k
•
145
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
10.6k
•
234
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
105
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.22k
•
114
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
84
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
8.46k
•
239
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
179
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
8.49k
•
378
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
92
•
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
•
663
•
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
•
17.2k
•
•
54
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
•
1.0B
•
Updated
•
213
•
9
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
269
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
244
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
1.28k
•
12
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision