Text Generation
•
0.3B
•
Updated
•
111k
•
519
Text Generation
•
0.3B
•
Updated
•
43.9k
•
952
Image-Text-to-Text
•
4B
•
Updated
•
741k
•
1.09k
Image-Text-to-Text
•
4B
•
Updated
•
479k
•
137
Text Generation
•
1.0B
•
Updated
•
36.3k
•
175
Text Generation
•
1.0B
•
Updated
•
2.33M
•
793
Image-Text-to-Text
•
12B
•
Updated
•
18.5k
•
84
Image-Text-to-Text
•
12B
•
Updated
•
1.23M
•
•
613
Image-Text-to-Text
•
27B
•
Updated
•
12.5k
•
115
Image-Text-to-Text
•
27B
•
Updated
•
1.4M
•
•
1.8k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
4B
•
Updated
•
1.5k
•
140
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
10.2k
•
229
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
126
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.28k
•
114
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
88
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
55k
•
231
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
99
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
2.77k
•
372
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
32
•
28
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
•
288
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
524
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
909
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
27B
•
Updated
•
697
•
38
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
7.32k
•
•
35
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
•
1.0B
•
Updated
•
330
•
9
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
372
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
316
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
1.1k
•
12
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision