Text Generation
• 0.3B • Updated • 69.8k
• 677
Text Generation
• 0.3B • Updated • 63.9k
• 1.12k
Image-Text-to-Text
• 4B • Updated • 1.1M
• • 1.58k
Image-Text-to-Text
• 4B • Updated • 130k
• • 172
Text Generation
• 1.0B • Updated • 38.3k
• • 218
Text Generation
• 1.0B • Updated • 1.82M
• • 1.24k
Image-Text-to-Text
• 12B • Updated • 44.8k
• • 96
Image-Text-to-Text
• 12B • Updated • 370k
• • 874
Image-Text-to-Text
• 27B • Updated • 10.3k
• • 126
Image-Text-to-Text
• 27B • Updated • 400k
• • 2.05k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
• 4B • Updated • 8.97k
• 180
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 2.96k
• 307
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 4B • Updated • 55
• 29
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 1.11k
• 173
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
• 1.0B • Updated • 48
• 17
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 1.53k
• 301
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 12B • Updated • 43
• 24
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 507
• 407
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
• 27B • Updated • 9
• 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 • 24
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
• 0.3B • Updated • 61
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 4B • Updated • 196
• 12
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 27B • Updated • 167
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
• 12B • Updated • 7.84k
• • 207
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
• 1.0B • Updated • 1.25k
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
• 4B • Updated • 53
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
• 12B • Updated • 73
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
• 1.0B • Updated • 83
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision