Text Generation
•
0.3B
•
Updated
•
114k
•
537
Text Generation
•
0.3B
•
Updated
•
42k
•
966
Image-Text-to-Text
•
4B
•
Updated
•
831k
•
1.12k
Image-Text-to-Text
•
4B
•
Updated
•
519k
•
140
Text Generation
•
1.0B
•
Updated
•
45.3k
•
179
Text Generation
•
1.0B
•
Updated
•
2.19M
•
814
Image-Text-to-Text
•
12B
•
Updated
•
15.3k
•
86
Image-Text-to-Text
•
12B
•
Updated
•
1.34M
•
•
632
Image-Text-to-Text
•
27B
•
Updated
•
7.35k
•
117
Image-Text-to-Text
•
27B
•
Updated
•
1.45M
•
•
1.83k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
4B
•
Updated
•
2.29k
•
144
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
10.1k
•
229
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
124
•
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
•
105
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
23.9k
•
235
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
174
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
8.32k
•
374
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
66
•
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
•
407
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
431
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
835
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
27B
•
Updated
•
576
•
38
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
13.9k
•
•
48
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
•
329
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
282
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
1.38k
•
12
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision