Text Generation
• Updated
• 102k
• 562
Text Generation
• Updated
• 97.3k
• 994
Image-Text-to-Text
• Updated
• 2.17M
• 1.22k
Image-Text-to-Text
• 4B • Updated
• 108k
• 149
Text Generation
• Updated
• 46.2k
• 187
Text Generation
• Updated
• 3.33M
• 871
Image-Text-to-Text
• 12B • Updated
• 35.3k
• 88
Image-Text-to-Text
• Updated
• 1.64M
• • 675
Image-Text-to-Text
• Updated
• 24.7k
• 121
Image-Text-to-Text
• 27B • Updated
• 1.33M
• • 1.92k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated
• 12.1k
• 150
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated
• 18.1k
• 243
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated
• 206
• 23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated
• 1.46k
• 117
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated
• 83
• 12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated
• 11k
• 250
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated
• 240
• 19
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated
• 17.3k
• 392
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated
• 106
• 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
• 138
• 8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated
• 308
• 12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated
• 299
• 10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated
• 10.6k
• 39
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated
• 19.3k
• • 71
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated
• 243
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated
• 322
• 9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated
• 10.9k
• 11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated
• 826
• 13
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision