Text Generation
•
0.3B
•
Updated
•
145k
•
508
Text Generation
•
0.3B
•
Updated
•
46.7k
•
943
Image-Text-to-Text
•
4B
•
Updated
•
772k
•
1.07k
Image-Text-to-Text
•
4B
•
Updated
•
49.3k
•
132
Text Generation
•
1.0B
•
Updated
•
41.5k
•
172
Text Generation
•
1.0B
•
Updated
•
2.34M
•
783
Image-Text-to-Text
•
12B
•
Updated
•
21k
•
79
Image-Text-to-Text
•
12B
•
Updated
•
1.36M
•
•
601
Image-Text-to-Text
•
27B
•
Updated
•
14.3k
•
115
Image-Text-to-Text
•
27B
•
Updated
•
1.54M
•
•
1.79k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
4B
•
Updated
•
2.3k
•
137
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
10.5k
•
224
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
146
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.25k
•
111
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
102
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
76.8k
•
226
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
66
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
17k
•
372
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
49
•
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
•
278
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
492
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
583
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
27B
•
Updated
•
471
•
37
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
1.02k
•
•
16
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
•
1.0B
•
Updated
•
342
•
9
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
520
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
307
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
1.37k
•
12
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision