Text Generation
• 0.3B • Updated • 145k
• 592
Text Generation
• 0.3B • Updated • 6.85M
• 1.03k
Image-Text-to-Text
• 4B • Updated • 1.77M
• 1.35k
Image-Text-to-Text
• 4B • Updated • 440k
• 155
Text Generation
• 1.0B • Updated • 78.4k
• • 195
Text Generation
• 1.0B • Updated • 1.63M
• • 977
Image-Text-to-Text
• 12B • Updated • 19.1k
• 90
Image-Text-to-Text
• 12B • Updated • 2.96M
• • 727
Image-Text-to-Text
• 27B • Updated • 8.22k
• 122
Image-Text-to-Text
• 27B • Updated • 1.44M
• • 1.97k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 4.72k
• 164
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 10.6k
• 263
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 52
• 26
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 731
• 129
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 37
• 15
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 4.65k
• 274
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 57
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 382
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 14
• 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 • 127
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 164
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 1.17k
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 74.2k
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 73.7k
• • 119
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 54
• • 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 369
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 261
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 41
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision