Text Generation
• Updated • 97.7k
• 568
Text Generation
• 0.3B • Updated • 92.5k
• 998
Image-Text-to-Text
• Updated • 1.98M
• 1.25k
Image-Text-to-Text
• 4B • Updated • 132k
• 150
Text Generation
• Updated • 56.4k
• 187
Text Generation
• Updated • 2.91M
• 892
Image-Text-to-Text
• 12B • Updated • 34.1k
• 88
Image-Text-to-Text
• Updated • 2.33M
• • 693
Image-Text-to-Text
• Updated • 13k
• 123
Image-Text-to-Text
• 27B • Updated • 1.16M
• • 1.93k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 7.25k
• 153
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 17.4k
• 247
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 111
• 24
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.52k
• 121
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 37
• 12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 10.1k
• 257
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 129
• 19
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 11.5k
• 398
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 106
• 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 • 50
• 8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 230
• 12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 453
• 10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 10.6k
• 39
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 27.3k
• • 76
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 172
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 234
• 9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 785
• 11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 676
• 13
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision