Text Generation
• 0.3B • Updated • 74.6k
• 696
Text Generation
• 0.3B • Updated • 68.1k
• 1.13k
Image-Text-to-Text
• 4B • Updated • 960k
• • 1.6k
Image-Text-to-Text
• 4B • Updated • 254k
• • 172
Text Generation
• 1.0B • Updated • 37.9k
• • 218
Text Generation
• 1.0B • Updated • 827k
• • 1.27k
Image-Text-to-Text
• 12B • Updated • 54.6k
• • 97
Image-Text-to-Text
• 12B • Updated • 333k
• • 884
Image-Text-to-Text
• 27B • Updated • 10.1k
• • 126
Image-Text-to-Text
• 27B • Updated • 341k
• • 2.06k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 6.78k
• 184
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 3.19k
• 317
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 46
• 29
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.02k
• 175
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 60
• 17
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 1.58k
• 303
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 45
• 24
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 440
• 407
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 29
• 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 • 26
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 81
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 106
• 13
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 56
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 5.88k
• • 209
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 479
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 46
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 82
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 78
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision