Text Generation
• Updated
• 110k
• 552
Text Generation
• Updated
• 152k
• 991
Image-Text-to-Text
• Updated
• 1.65M
• 1.2k
Image-Text-to-Text
• 4B • Updated
• 107k
• 147
Text Generation
• Updated
• 34.7k
• 187
Text Generation
• Updated
• 1.87M
• 853
Image-Text-to-Text
• 12B • Updated
• 29.7k
• 88
Image-Text-to-Text
• Updated
• 1.2M
• • 662
Image-Text-to-Text
• Updated
• 56.5k
• 119
Image-Text-to-Text
• Updated
• 1.66M
• • 1.9k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated
• 8.1k
• 147
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated
• 12.9k
• 237
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated
• 155
• 23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated
• 1.16k
• 115
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated
• 109
• 12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated
• 9.02k
• 241
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated
• 266
• 17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated
• 10k
• 380
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated
• 108
• 29
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
• 172
• 8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated
• 531
• 12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated
• 771
• 10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated
• 1.35k
• 38
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated
• 13.2k
• • 63
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated
• 206
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated
• 418
• 9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated
• 10.6k
• 11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated
• 835
• 13
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision