Text Generation
• 0.3B • Updated • 68.6k
• 610
Text Generation
• 0.3B • Updated • 1.33M
• 1.07k
Image-Text-to-Text
• 4B • Updated • 1.24M
• • 1.46k
Image-Text-to-Text
• 4B • Updated • 70.7k
• 159
Text Generation
• 1.0B • Updated • 63.1k
• • 197
Text Generation
• 1.0B • Updated • 5.06M
• • 1.1k
Image-Text-to-Text
• 12B • Updated • 32.8k
• 91
Image-Text-to-Text
• 12B • Updated • 1.2M
• • 810
Image-Text-to-Text
• 27B • Updated • 10.1k
• 123
Image-Text-to-Text
• 27B • Updated • 627k
• • 2.01k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 7.89k
• 167
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 3.62k
• 278
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 23
• 27
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 828
• 146
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 62
• 15
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 1.16k
• 291
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 19
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 425
• 400
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 • 180
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 375
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 285
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 124
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 90.7k
• • 163
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 128
• • 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 180
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 144
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 107
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision