Text Generation
• 0.3B • Updated • 74.6k
• 645
Text Generation
• 0.3B • Updated • 89.7k
• 1.11k
Image-Text-to-Text
• 4B • Updated • 1.51M
• • 1.54k
Image-Text-to-Text
• 4B • Updated • 119k
• • 171
Text Generation
• 1.0B • Updated • 61.4k
• • 208
Text Generation
• 1.0B • Updated • 3.29M
• • 1.19k
Image-Text-to-Text
• 12B • Updated • 35.1k
• • 94
Image-Text-to-Text
• 12B • Updated • 537k
• • 845
Image-Text-to-Text
• 27B • Updated • 12.6k
• • 125
Image-Text-to-Text
• 27B • Updated • 411k
• • 2.04k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 10.4k
• 174
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 2.66k
• 294
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 39
• 28
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 876
• 160
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 • 716
• 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 • 381
• 404
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 30
• 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 • 53
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 122
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 155
• 12
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 570
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 16.2k
• • 192
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 1.16k
• 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 • 36
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 68
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision