Text Generation
• 0.3B • Updated • 92.9k
• 615
Text Generation
• 0.3B • Updated • 1.41M
• 1.08k
Image-Text-to-Text
• 4B • Updated • 1.53M
• • 1.47k
Image-Text-to-Text
• 4B • Updated • 74.1k
• 160
Text Generation
• 1.0B • Updated • 65.2k
• 200
Text Generation
• 1.0B • Updated • 3.21M
• • 1.12k
Image-Text-to-Text
• 12B • Updated • 28.2k
• 91
Image-Text-to-Text
• 12B • Updated • 908k
• • 813
Image-Text-to-Text
• 27B • Updated • 10.5k
• 124
Image-Text-to-Text
• 27B • Updated • 441k
• • 2.02k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 8.89k
• 168
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 3.47k
• 278
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 29
• 28
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 726
• 150
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 73
• 15
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 994
• 294
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 25
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 453
• 401
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 21
• 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 • 131
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 367
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 191
• 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 456
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 91.4k
• • 172
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 121
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 177
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 60
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 160
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision