Text Generation
• 0.3B • Updated • 75.3k
• 642
Text Generation
• 0.3B • Updated • 91.3k
• 1.1k
Image-Text-to-Text
• 4B • Updated • 1.64M
• • 1.52k
Image-Text-to-Text
• 4B • Updated • 111k
• • 169
Text Generation
• 1.0B • Updated • 67.4k
• • 206
Text Generation
• 1.0B • Updated • 3.36M
• • 1.19k
Image-Text-to-Text
• 12B • Updated • 34.5k
• • 94
Image-Text-to-Text
• 12B • Updated • 589k
• • 842
Image-Text-to-Text
• 27B • Updated • 12.1k
• • 125
Image-Text-to-Text
• 27B • Updated • 395k
• • 2.04k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 9.97k
• 172
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 2.58k
• 291
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 32
• 28
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 841
• 159
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 81
• 16
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 697
• 298
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 29
• 24
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 387
• 403
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 25
• 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 • 69
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 245
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 125
• 12
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 580
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 18.2k
• • 192
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 1.11k
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 50
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 35
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 127
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision