Text Generation
• 0.3B • Updated • 73.9k
• 647
Text Generation
• 0.3B • Updated • 86.5k
• 1.11k
Image-Text-to-Text
• 4B • Updated • 1.4M
• • 1.54k
Image-Text-to-Text
• 4B • Updated • 122k
• • 171
Text Generation
• 1.0B • Updated • 60.4k
• • 209
Text Generation
• 1.0B • Updated • 3.2M
• • 1.2k
Image-Text-to-Text
• 12B • Updated • 33.5k
• • 94
Image-Text-to-Text
• 12B • Updated • 524k
• • 845
Image-Text-to-Text
• 27B • Updated • 11.8k
• • 126
Image-Text-to-Text
• 27B • Updated • 420k
• • 2.04k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 10k
• 174
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 2.75k
• 297
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 41
• 29
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 877
• 160
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 79
• 16
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 754
• 298
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 33
• 24
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 392
• 405
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 18
• 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 • 41
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 98
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 145
• 12
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 240
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 15k
• • 192
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 1.17k
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 48
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 36
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 63
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision