Text Generation
•
Updated
•
122k
•
552
Text Generation
•
Updated
•
146k
•
983
Image-Text-to-Text
•
Updated
•
1.17M
•
1.18k
Image-Text-to-Text
•
4B
•
Updated
•
131k
•
145
Text Generation
•
Updated
•
37.8k
•
184
Text Generation
•
Updated
•
1.39M
•
840
Image-Text-to-Text
•
12B
•
Updated
•
26.9k
•
88
Image-Text-to-Text
•
Updated
•
1.25M
•
•
653
Image-Text-to-Text
•
Updated
•
54.9k
•
118
Image-Text-to-Text
•
Updated
•
1.68M
•
•
1.87k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
Updated
•
1.94k
•
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
•
96
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.11k
•
114
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
111
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
7.53k
•
240
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
258
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
2.66k
•
378
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
125
•
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
•
271
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
535
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
823
•
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
•
10.6k
•
•
58
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
•
1.0B
•
Updated
•
225
•
10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
•
Updated
•
349
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
7.68k
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
861
•
13
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision