Text Generation
• 0.3B • Updated • 127k
• 593
Text Generation
• 0.3B • Updated • 7.81M
• 1.03k
Image-Text-to-Text
• 4B • Updated • 1.6M
• • 1.36k
Image-Text-to-Text
• 4B • Updated • 278k
• 155
Text Generation
• 1.0B • Updated • 55.8k
• • 195
Text Generation
• 1.0B • Updated • 1.66M
• • 1k
Image-Text-to-Text
• 12B • Updated • 19.3k
• 91
Image-Text-to-Text
• 12B • Updated • 2.81M
• • 744
Image-Text-to-Text
• 27B • Updated • 7.72k
• 122
Image-Text-to-Text
• 27B • Updated • 1.42M
• • 1.98k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 4.45k
• 164
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 9.32k
• 263
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 42
• 27
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 618
• 130
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 59
• 15
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 4.44k
• 279
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 42
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 350
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 19
• 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 • 117
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 139
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 1.33k
• • 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 42.3k
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 71.2k
• • 123
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 62
• • 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 349
• • 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 266
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 64
• • 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision