Text Generation
• Updated • 105k
• 567
Text Generation
• 0.3B • Updated • 87.1k
• 1k
Image-Text-to-Text
• Updated • 1.7M
• 1.27k
Image-Text-to-Text
• 4B • Updated • 168k
• 150
Text Generation
• Updated • 63.6k
• 187
Text Generation
• Updated • 1.57M
• 894
Image-Text-to-Text
• 12B • Updated • 29.4k
• 88
Image-Text-to-Text
• Updated • 2.53M
• • 696
Image-Text-to-Text
• Updated • 16.2k
• 123
Image-Text-to-Text
• 27B • Updated • 1.08M
• • 1.94k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 5.08k
• 155
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 15.1k
• 249
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 110
• 24
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.5k
• 121
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 • 8.66k
• 260
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 95
• 19
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 6.23k
• 398
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 73
• 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 • 45
• 8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 206
• 12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 459
• 10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 8.45k
• 39
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 27.7k
• • 80
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 296
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 205
• 9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 732
• 11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 563
• 13
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision