Text Generation
•
Updated
•
113k
•
552
Text Generation
•
Updated
•
146k
•
987
Image-Text-to-Text
•
Updated
•
1.18M
•
1.19k
Image-Text-to-Text
•
4B
•
Updated
•
128k
•
145
Text Generation
•
Updated
•
37k
•
185
Text Generation
•
Updated
•
1.49M
•
840
Image-Text-to-Text
•
12B
•
Updated
•
30.5k
•
88
Image-Text-to-Text
•
Updated
•
1.24M
•
•
658
Image-Text-to-Text
•
Updated
•
57.3k
•
118
Image-Text-to-Text
•
Updated
•
1.76M
•
•
1.88k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
Updated
•
1.87k
•
146
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
•
130
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.16k
•
114
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
121
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
7.64k
•
240
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
261
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
4.68k
•
378
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
123
•
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
•
199
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
572
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
827
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
Updated
•
1.39k
•
38
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
Updated
•
10.8k
•
•
58
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
•
1.0B
•
Updated
•
231
•
10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
•
Updated
•
356
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
10.5k
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
927
•
13
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision