Text Generation
• 0.3B • Updated • 93k
• 617
Text Generation
• 0.3B • Updated • 1.28M
• 1.09k
Image-Text-to-Text
• 4B • Updated • 1.63M
• • 1.47k
Image-Text-to-Text
• 4B • Updated • 73.2k
• 160
Text Generation
• 1.0B • Updated • 55.7k
• 200
Text Generation
• 1.0B • Updated • 2.5M
• • 1.13k
Image-Text-to-Text
• 12B • Updated • 27.7k
• 91
Image-Text-to-Text
• 12B • Updated • 761k
• • 817
Image-Text-to-Text
• 27B • Updated • 9.21k
• 124
Image-Text-to-Text
• 27B • Updated • 384k
• • 2.02k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 9.09k
• 168
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 2.71k
• 280
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 34
• 28
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 728
• 150
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 69
• 15
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 904
• 294
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 24
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 470
• 401
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 28
• 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 • 146
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 340
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 159
• 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 476
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 80.9k
• • 174
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 98
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 178
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 46
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 131
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision