Text Generation
• Updated • 168k
• 579
Text Generation
• 0.3B • Updated • 99.8k
• 1.02k
Image-Text-to-Text
• 4B • Updated • 2.26M
• • 1.32k
Image-Text-to-Text
• 4B • Updated • 239k
• 154
Text Generation
• Updated • 106k
• 193
Text Generation
• 1.0B • Updated • 559k
• • 941
Image-Text-to-Text
• 12B • Updated • 19.7k
• 89
Image-Text-to-Text
• Updated • 2.71M
• • 712
Image-Text-to-Text
• Updated • 9.4k
• 123
Image-Text-to-Text
• 27B • Updated • 554k
• • 1.96k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 4.11k
• 160
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 10.5k
• 256
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 425
• 26
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1k
• 126
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 93
• 14
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 5.05k
• 270
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 62
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 1.24k
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 15
• 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 • 120
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 212
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 565
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 77.8k
• • 41
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 52.6k
• • 94
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 194
• • 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 551
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 464
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 103
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision