Text Generation
• 0.3B • Updated • 1.19M
• 607
Text Generation
• 0.3B • Updated • 1.85M
• 1.05k
Image-Text-to-Text
• 4B • Updated • 2.25M
• • 1.43k
Image-Text-to-Text
• 4B • Updated • 68.4k
• 158
Text Generation
• 1.0B • Updated • 67.1k
• • 196
Text Generation
• 1.0B • Updated • 3.47M
• • 1.06k
Image-Text-to-Text
• 12B • Updated • 25.6k
• 91
Image-Text-to-Text
• 12B • Updated • 1.2M
• • 792
Image-Text-to-Text
• 27B • Updated • 10.5k
• 124
Image-Text-to-Text
• 27B • Updated • 864k
• • 2k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 6.34k
• 166
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 2.39k
• 271
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 48
• 27
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.09k
• 142
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 45
• 15
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 1.67k
• 287
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 90
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 218
• 400
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 1
• 32
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 • 87
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 695
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 2.03k
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 328
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 102k
• • 151
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 65
• • 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 28
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 429
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 140
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision