Text Generation
• Updated • 131k
• 577
Text Generation
• 0.3B • Updated • 102k
• 1.02k
Image-Text-to-Text
• Updated • 1.82M
• 1.31k
Image-Text-to-Text
• 4B • Updated • 178k
• 154
Text Generation
• Updated • 69.7k
• 192
Text Generation
• 1.0B • Updated • 666k
• 927
Image-Text-to-Text
• 12B • Updated • 20.2k
• 89
Image-Text-to-Text
• Updated • 2.51M
• • 706
Image-Text-to-Text
• Updated • 14.4k
• 123
Image-Text-to-Text
• 27B • Updated • 596k
• • 1.96k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 4.01k
• 159
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 11.6k
• 254
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 465
• 26
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.12k
• 124
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 83
• 14
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 5.56k
• 266
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 43
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 1.92k
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 56
• 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 • 107
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 199
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 561
• 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 31.8k
• 41
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 47.2k
• • 89
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 381
• 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 129
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 617
• 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 226
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision