Text Generation
• Updated
• 95.5k
• 564
Text Generation
• Updated
• 89.8k
• 994
Image-Text-to-Text
• Updated
• 2.2M
• 1.23k
Image-Text-to-Text
• 4B • Updated
• 124k
• 149
Text Generation
• Updated
• 47k
• 187
Text Generation
• Updated
• 3.34M
• 876
Image-Text-to-Text
• 12B • Updated
• 35.8k
• 88
Image-Text-to-Text
• Updated
• 1.83M
• • 677
Image-Text-to-Text
• Updated
• 15.3k
• 121
Image-Text-to-Text
• 27B • Updated
• 1.27M
• • 1.92k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated
• 12.4k
• 150
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated
• 18k
• 244
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated
• 181
• 23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated
• 1.54k
• 117
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated
• 46
• 12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated
• 11.5k
• 251
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated
• 179
• 19
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated
• 17.2k
• 394
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated
• 99
• 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
• 110
• 8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated
• 302
• 12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated
• 397
• 10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated
• 10.7k
• 39
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated
• 20.6k
• • 73
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated
• 223
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated
• 331
• 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
• 662
• 13
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision