Text Generation
• Updated • 97.7k
• 567
Text Generation
• 0.3B • Updated • 88k
• 996
Image-Text-to-Text
• Updated • 2.21M
• 1.24k
Image-Text-to-Text
• 4B • Updated • 114k
• 150
Text Generation
• Updated • 52.9k
• 187
Text Generation
• Updated • 3.22M
• 886
Image-Text-to-Text
• 12B • Updated • 32.8k
• 88
Image-Text-to-Text
• Updated • 2.1M
• • 685
Image-Text-to-Text
• Updated • 11.8k
• 123
Image-Text-to-Text
• 27B • Updated • 1.2M
• • 1.93k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 12.4k
• 152
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 18.3k
• 244
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 143
• 23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.51k
• 120
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 42
• 12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 11.4k
• 256
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 156
• 19
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 15.7k
• 397
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 84
• 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 • 73
• 8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 258
• 12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 376
• 10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 10.6k
• 39
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 23.7k
• • 74
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 189
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 294
• 9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 700
• 11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 716
• 13
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision