Text Generation
• Updated • 140k
• 584
Text Generation
• 0.3B • Updated • 3.77M
• 1.03k
Image-Text-to-Text
• 4B • Updated • 2.02M
• • 1.33k
Image-Text-to-Text
• 4B • Updated • 484k
• 154
Text Generation
• Updated • 132k
• • 194
Text Generation
• 1.0B • Updated • 1.09M
• • 956
Image-Text-to-Text
• 12B • Updated • 18.9k
• 90
Image-Text-to-Text
• Updated • 2.82M
• • 719
Image-Text-to-Text
• Updated • 8.69k
• 123
Image-Text-to-Text
• 27B • Updated • 1.09M
• • 1.97k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 4.25k
• 162
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 9.76k
• 259
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 51
• 26
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 750
• 127
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 31
• 14
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 4.52k
• 272
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 70
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 560
• 400
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 18
• 31
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 • 118
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 100
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 507
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 123k
• • 41
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 62.1k
• • 106
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 66
• • 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 692
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 51
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 29
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision