Text Generation
• Updated • 165k
• 581
Text Generation
• 0.3B • Updated • 452k
• 1.02k
Image-Text-to-Text
• 4B • Updated • 2.25M
• • 1.32k
Image-Text-to-Text
• 4B • Updated • 271k
• 154
Text Generation
• Updated • 117k
• 193
Text Generation
• 1.0B • Updated • 574k
• • 945
Image-Text-to-Text
• 12B • Updated • 18.4k
• 90
Image-Text-to-Text
• Updated • 2.76M
• • 713
Image-Text-to-Text
• Updated • 8.24k
• 123
Image-Text-to-Text
• 27B • Updated • 593k
• • 1.96k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 3.74k
• 161
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 9.91k
• 257
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 264
• 26
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 888
• 126
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 85
• 14
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 4.57k
• 270
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 63
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 1.05k
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 14
• 31
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 • 62
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 218
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 326
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 99.5k
• • 41
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 53.5k
• • 95
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 152
• • 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 603
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 303
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 80
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision