Text Generation
• Updated • 123k
• 569
Text Generation
• 0.3B • Updated • 77.7k
• 1k
Image-Text-to-Text
• Updated • 1.53M
• 1.28k
Image-Text-to-Text
• 4B • Updated • 169k
• 153
Text Generation
• Updated • 66.1k
• 188
Text Generation
• Updated • 1.26M
• 900
Image-Text-to-Text
• 12B • Updated • 20.8k
• 88
Image-Text-to-Text
• Updated • 2.63M
• • 700
Image-Text-to-Text
• Updated • 17.9k
• 123
Image-Text-to-Text
• 27B • Updated • 922k
• • 1.94k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 3.56k
• 155
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 13.8k
• 250
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 145
• 24
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.26k
• 121
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 41
• 12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 6.74k
• 263
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 79
• 20
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 3.34k
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 66
• 30
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 • 101
• 8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 205
• 12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 660
• 10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 380
• 39
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 31.1k
• • 83
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 331
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 179
• 9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 734
• 11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 519
• 13
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision