Text Generation
•
Updated
•
128k
•
552
Text Generation
•
Updated
•
140k
•
983
Image-Text-to-Text
•
Updated
•
1.17M
•
1.18k
Image-Text-to-Text
•
4B
•
Updated
•
131k
•
145
Text Generation
•
Updated
•
38.8k
•
184
Text Generation
•
Updated
•
1.44M
•
838
Image-Text-to-Text
•
12B
•
Updated
•
25.7k
•
88
Image-Text-to-Text
•
Updated
•
1.28M
•
•
653
Image-Text-to-Text
•
Updated
•
51.4k
•
118
Image-Text-to-Text
•
Updated
•
1.65M
•
•
1.87k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
Updated
•
2k
•
146
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
10.5k
•
234
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
99
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.13k
•
114
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
112
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
7.6k
•
240
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
253
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
2.65k
•
378
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
124
•
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
•
310
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
542
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
822
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
Updated
•
1.4k
•
38
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
Updated
•
11.1k
•
•
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
•
325
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
270
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
863
•
13
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision