Text Generation
•
0.3B
•
Updated
•
113k
•
533
Text Generation
•
0.3B
•
Updated
•
40k
•
963
Image-Text-to-Text
•
4B
•
Updated
•
816k
•
1.11k
Image-Text-to-Text
•
4B
•
Updated
•
501k
•
140
Text Generation
•
1.0B
•
Updated
•
40.5k
•
177
Text Generation
•
1.0B
•
Updated
•
2.52M
•
811
Image-Text-to-Text
•
12B
•
Updated
•
16.3k
•
86
Image-Text-to-Text
•
12B
•
Updated
•
1.35M
•
•
628
Image-Text-to-Text
•
27B
•
Updated
•
7.49k
•
117
Image-Text-to-Text
•
27B
•
Updated
•
1.32M
•
•
1.82k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
4B
•
Updated
•
1.71k
•
143
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
10k
•
229
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
123
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.39k
•
114
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
104
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
33.6k
•
233
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
144
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
8.23k
•
373
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
63
•
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
•
439
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
459
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
817
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
27B
•
Updated
•
537
•
38
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
12.3k
•
•
47
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
•
1.0B
•
Updated
•
325
•
9
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
359
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
311
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
1.25k
•
12
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision