Text Generation • 0.3B • Updated • 54.6k
• 715
Text Generation • 0.3B • Updated • 94.7k
• 1.15k
Image-Text-to-Text • 4B • Updated • 1.02M
• • 1.66k
Image-Text-to-Text • 4B • Updated • 285k
• • 180
Text Generation • 1.0B • Updated • 40.5k
• • 225
Text Generation • 1.0B • Updated • 207k
• • 1.31k
Image-Text-to-Text • 12B • Updated • 42.4k
• • 97
Image-Text-to-Text • 12B • Updated • 393k
• • 913
Image-Text-to-Text • 27B • Updated • 8.38k
• • 126
Image-Text-to-Text • 27B • Updated • 339k
• • 2.07k
Note ^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text • 4B • Updated • 11.2k
• 190
Note ^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text • 4B • Updated • 6.03k
• 335
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text • 4B • Updated • 35
• 29
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation • 1.0B • Updated • 1.25k
• 184
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation • 1.0B • Updated • 57
• 17
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text • 12B • Updated • 1.53k
• 304
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text • 12B • Updated • 55
• 24
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text • 27B • Updated • 398
• 408
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text • 27B • Updated • 34
• 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 • 31
• 9
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation • 0.3B • Updated • 77
• 13
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text • 4B • Updated • 84
• 13
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text • 27B • Updated • 47
• • 42
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text • 12B • Updated • 7.92k
• • 221
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation • 1.0B • Updated • 923
• 10
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text • 4B • Updated • 30
• 10
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text • 12B • Updated • 45
• • 12
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation • 1.0B • Updated • 98
• 14
Note ^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision