Text Generation
• 0.3B • Updated • 60.4k
• 706
Text Generation
• 0.3B • Updated • 87.2k
• 1.14k
Image-Text-to-Text
• 4B • Updated • 985k
• • 1.62k
Image-Text-to-Text
• 4B • Updated • 291k
• • 173
Text Generation
• 1.0B • Updated • 36.6k
• • 221
Text Generation
• 1.0B • Updated • 188k
• • 1.29k
Image-Text-to-Text
• 12B • Updated • 55.6k
• • 97
Image-Text-to-Text
• 12B • Updated • 359k
• • 905
Image-Text-to-Text
• 27B • Updated • 10.4k
• • 126
Image-Text-to-Text
• 27B • Updated • 361k
• • 2.07k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 6.72k
• 188
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 6.1k
• 328
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 37
• 29
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.33k
• 180
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 67
• 17
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 1.76k
• 304
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 42
• 24
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 467
• 408
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 37
• 32
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 • 29
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 80
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 112
• 13
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 55
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 6.55k
• • 215
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 731
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 44
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 59
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 91
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision