Text Generation
• 0.3B • Updated • 92.2k
• 615
Text Generation
• 0.3B • Updated • 1.44M
• 1.08k
Image-Text-to-Text
• 4B • Updated • 1.4M
• • 1.47k
Image-Text-to-Text
• 4B • Updated • 71.3k
• 160
Text Generation
• 1.0B • Updated • 64.7k
• 199
Text Generation
• 1.0B • Updated • 3.48M
• • 1.12k
Image-Text-to-Text
• 12B • Updated • 28.5k
• 91
Image-Text-to-Text
• 12B • Updated • 952k
• • 812
Image-Text-to-Text
• 27B • Updated • 9.8k
• 123
Image-Text-to-Text
• 27B • Updated • 451k
• • 2.02k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 8.26k
• 168
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 3.44k
• 278
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 24
• 27
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 744
• 150
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 72
• 15
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 989
• 293
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 22
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 434
• 401
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 9
• 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 • 119
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 393
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 203
• 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 442
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 95.5k
• • 171
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 130
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 182
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 71
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 154
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision