Text Generation
• Updated • 181k
• 583
Text Generation
• 0.3B • Updated • 2.49M
• 1.02k
Image-Text-to-Text
• 4B • Updated • 2.14M
• • 1.33k
Image-Text-to-Text
• 4B • Updated • 433k
• 154
Text Generation
• Updated • 142k
• • 194
Text Generation
• 1.0B • Updated • 731k
• • 954
Image-Text-to-Text
• 12B • Updated • 18k
• 90
Image-Text-to-Text
• Updated • 2.81M
• • 718
Image-Text-to-Text
• Updated • 9.16k
• 123
Image-Text-to-Text
• 27B • Updated • 847k
• • 1.97k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 4.39k
• 161
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 9.4k
• 258
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 65
• 26
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 771
• 128
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 44
• 14
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 4.53k
• 270
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 72
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 654
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 8
• 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 • 106
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 80
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 166
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 123k
• • 41
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 59.7k
• • 104
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 86
• • 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 791
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 82
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 38
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision