Text Generation
•
0.3B
•
Updated
•
141k
•
512
Text Generation
•
0.3B
•
Updated
•
45.8k
•
944
Image-Text-to-Text
•
4B
•
Updated
•
756k
•
1.08k
Image-Text-to-Text
•
4B
•
Updated
•
137k
•
135
Text Generation
•
1.0B
•
Updated
•
39.6k
•
173
Text Generation
•
1.0B
•
Updated
•
2.33M
•
785
Image-Text-to-Text
•
12B
•
Updated
•
20.5k
•
79
Image-Text-to-Text
•
12B
•
Updated
•
1.32M
•
•
605
Image-Text-to-Text
•
27B
•
Updated
•
13.8k
•
115
Image-Text-to-Text
•
27B
•
Updated
•
1.52M
•
•
1.79k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
4B
•
Updated
•
2.24k
•
137
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
10.2k
•
224
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
117
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.25k
•
113
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
93
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
71.6k
•
226
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
60
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
4.18k
•
372
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
45
•
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
•
282
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
496
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
586
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
27B
•
Updated
•
470
•
37
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
985
•
•
16
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
•
521
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
306
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
1.21k
•
12
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision