Text Generation
• 0.3B • Updated • 91.3k
• 615
Text Generation
• 0.3B • Updated • 1.41M
• 1.08k
Image-Text-to-Text
• 4B • Updated • 1.45M
• • 1.47k
Image-Text-to-Text
• 4B • Updated • 70.3k
• 160
Text Generation
• 1.0B • Updated • 65.2k
• 200
Text Generation
• 1.0B • Updated • 3.37M
• • 1.12k
Image-Text-to-Text
• 12B • Updated • 28.6k
• 91
Image-Text-to-Text
• 12B • Updated • 922k
• • 812
Image-Text-to-Text
• 27B • Updated • 9.98k
• 124
Image-Text-to-Text
• 27B • Updated • 444k
• • 2.02k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 8.13k
• 168
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 3.41k
• 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 • 744
• 150
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 74
• 15
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 990
• 294
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 22
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 436
• 401
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 15
• 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 • 120
• 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 • 203
• 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 438
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 93.2k
• • 171
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 123
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 182
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 67
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 155
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision