Text Generation
• Updated • 125k
• 577
Text Generation
• 0.3B • Updated • 90.6k
• 1.01k
Image-Text-to-Text
• Updated • 1.7M
• 1.3k
Image-Text-to-Text
• 4B • Updated • 133k
• 154
Text Generation
• Updated • 68.6k
• 190
Text Generation
• 1.0B • Updated • 818k
• 916
Image-Text-to-Text
• 12B • Updated • 21.1k
• 89
Image-Text-to-Text
• Updated • 2.55M
• • 704
Image-Text-to-Text
• Updated • 16.1k
• 123
Image-Text-to-Text
• 27B • Updated • 739k
• • 1.95k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• Updated • 3.78k
• 158
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 12.1k
• 254
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 478
• 25
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.23k
• 123
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 85
• 14
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 5.63k
• 266
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 47
• 21
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 2.74k
• 399
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 63
• 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 • 92
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 201
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 599
• 11
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 6.24k
• 40
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• Updated • 40.7k
• • 85
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 351
• 11
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• Updated • 160
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 755
• 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 364
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision