Text Generation
• 0.3B • Updated • 161k
• 590
Text Generation
• 0.3B • Updated • 5.96M
• 1.03k
Image-Text-to-Text
• 4B • Updated • 1.86M
• 1.35k
Image-Text-to-Text
• 4B • Updated • 472k
• 155
Text Generation
• 1.0B • Updated • 90.7k
• • 195
Text Generation
• 1.0B • Updated • 1.43M
• • 971
Image-Text-to-Text
• 12B • Updated • 17k
• 90
Image-Text-to-Text
• 12B • Updated • 2.86M
• 724
Image-Text-to-Text
• 27B • Updated • 8.27k
• 122
Image-Text-to-Text
• 27B • Updated • 1.33M
• • 1.97k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 4.21k
• 163
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 10.1k
• 262
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 71
• 26
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 721
• 129
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 36
• 14
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 4.44k
• 273
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 43
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 387
• 400
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 • 124
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 162
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 904
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 95.6k
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 70.4k
• • 118
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 24
• • 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 405
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 190
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 26
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision