Text Generation
• Updated • 107k
• 568
Text Generation
• 0.3B • Updated • 85.2k
• 1k
Image-Text-to-Text
• Updated • 1.63M
• 1.27k
Image-Text-to-Text
• 4B • Updated • 173k
• 151
Text Generation
• Updated • 67k
• 187
Text Generation
• Updated • 1.5M
• 895
Image-Text-to-Text
• 12B • Updated • 29.3k
• 88
Image-Text-to-Text
• Updated • 2.57M
• • 698
Image-Text-to-Text
• Updated • 16.6k
• 123
Image-Text-to-Text
• 27B • Updated • 1.06M
• • 1.94k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 4.98k
• 155
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 14.9k
• 249
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 109
• 24
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.49k
• 121
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 40
• 12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 8.17k
• 262
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 95
• 19
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 5.21k
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 73
• 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 • 42
• 8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 200
• 12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 461
• 10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 4.98k
• 39
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 28.2k
• • 81
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 297
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 200
• 9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 715
• 11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 575
• 13
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision