Text Generation
• 0.3B • Updated • 78.4k
• 659
Text Generation
• 0.3B • Updated • 62.7k
• 1.11k
Image-Text-to-Text
• 4B • Updated • 1.17M
• • 1.57k
Image-Text-to-Text
• 4B • Updated • 129k
• • 172
Text Generation
• 1.0B • Updated • 51.9k
• • 214
Text Generation
• 1.0B • Updated • 2.71M
• • 1.22k
Image-Text-to-Text
• 12B • Updated • 25.8k
• • 96
Image-Text-to-Text
• 12B • Updated • 424k
• • 862
Image-Text-to-Text
• 27B • Updated • 10.1k
• • 126
Image-Text-to-Text
• 27B • Updated • 417k
• • 2.05k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 8.96k
• 176
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 2.72k
• 305
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 48
• 29
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 938
• 172
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 71
• 17
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 1.49k
• 297
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 45
• 24
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 348
• 406
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 14
• 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 • 27
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 65
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 185
• 12
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 183
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 9.97k
• • 202
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 1.19k
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 39
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 64
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 50
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision