Text Generation
• Updated • 159k
• 584
Text Generation
• 0.3B • Updated • 3.14M
• 1.02k
Image-Text-to-Text
• 4B • Updated • 2.06M
• • 1.33k
Image-Text-to-Text
• 4B • Updated • 427k
• 154
Text Generation
• Updated • 140k
• • 194
Text Generation
• 1.0B • Updated • 1,000k
• • 954
Image-Text-to-Text
• 12B • Updated • 18.5k
• 90
Image-Text-to-Text
• Updated • 2.83M
• • 719
Image-Text-to-Text
• Updated • 8.45k
• 123
Image-Text-to-Text
• 27B • Updated • 993k
• • 1.97k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 4.16k
• 162
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 9.59k
• 259
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 49
• 26
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 763
• 127
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 39
• 14
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 4.45k
• 271
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 70
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 588
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 5
• 31
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 • 116
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 97
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 167
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 123k
• • 41
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 61.3k
• • 105
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 68
• • 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 807
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 66
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 30
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision