Text Generation
• Updated • 137k
• 578
Text Generation
• 0.3B • Updated • 102k
• 1.02k
Image-Text-to-Text
• Updated • 1.87M
• 1.31k
Image-Text-to-Text
• 4B • Updated • 171k
• 154
Text Generation
• Updated • 69.5k
• 192
Text Generation
• 1.0B • Updated • 635k
• 929
Image-Text-to-Text
• 12B • Updated • 19.7k
• 89
Image-Text-to-Text
• Updated • 2.52M
• • 708
Image-Text-to-Text
• Updated • 14k
• 123
Image-Text-to-Text
• 27B • Updated • 568k
• • 1.96k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 4.17k
• 160
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 11.3k
• 255
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 466
• 26
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.11k
• 125
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 84
• 14
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 5.63k
• 266
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 42
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 1.88k
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 46
• 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 • 108
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 199
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 562
• 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 36.1k
• 41
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 48.8k
• • 91
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 384
• 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 128
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 612
• 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 222
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision