Text Generation
• 0.3B • Updated • 151k
• 598
Text Generation
• 0.3B • Updated • 7.23M
• 1.04k
Image-Text-to-Text
• 4B • Updated • 1.58M
• • 1.38k
Image-Text-to-Text
• 4B • Updated • 42.4k
• 155
Text Generation
• 1.0B • Updated • 49.5k
• • 197
Text Generation
• 1.0B • Updated • 3.01M
• • 1.02k
Image-Text-to-Text
• 12B • Updated • 23.8k
• 91
Image-Text-to-Text
• 12B • Updated • 2.14M
• • 762
Image-Text-to-Text
• 27B • Updated • 10.3k
• 124
Image-Text-to-Text
• 27B • Updated • 1.11M
• • 1.98k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 5.12k
• 165
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 7.82k
• 269
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 51
• 27
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 794
• 133
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 46
• 15
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 3.49k
• 282
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 107
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 315
• 401
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 24
• 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 • 77
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 170
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 1.34k
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 364
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 77.3k
• • 128
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 65
• • 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 102
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 857
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 77
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision