Text Generation
•
0.3B
•
Updated
•
131k
•
552
Text Generation
•
0.3B
•
Updated
•
131k
•
978
Image-Text-to-Text
•
4B
•
Updated
•
1.14M
•
1.17k
Image-Text-to-Text
•
4B
•
Updated
•
127k
•
145
Text Generation
•
1.0B
•
Updated
•
35.8k
•
183
Text Generation
•
1.0B
•
Updated
•
1.54M
•
835
Image-Text-to-Text
•
12B
•
Updated
•
26.4k
•
88
Image-Text-to-Text
•
12B
•
Updated
•
1.38M
•
•
648
Image-Text-to-Text
•
27B
•
Updated
•
41.3k
•
118
Image-Text-to-Text
•
27B
•
Updated
•
1.64M
•
•
1.86k
Note
^ transformers-based pre-trained and instruct models
google/shieldgemma-2-4b-it
Image-Text-to-Text
•
4B
•
Updated
•
2.32k
•
146
Note
^ ShieldGemma 2
google/gemma-3-4b-it-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
10.4k
•
233
google/gemma-3-4b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
4B
•
Updated
•
84
•
23
google/gemma-3-1b-it-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
1.17k
•
114
google/gemma-3-1b-pt-qat-q4_0-gguf
Text Generation
•
1.0B
•
Updated
•
79
•
12
google/gemma-3-12b-it-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
8.23k
•
240
google/gemma-3-12b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
12B
•
Updated
•
215
•
17
google/gemma-3-27b-it-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
2.72k
•
378
google/gemma-3-27b-pt-qat-q4_0-gguf
Image-Text-to-Text
•
27B
•
Updated
•
118
•
29
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
•
366
•
8
google/gemma-3-270m-it-qat-q4_0-unquantized
Text Generation
•
0.3B
•
Updated
•
503
•
12
google/gemma-3-4b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
784
•
10
google/gemma-3-27b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
Updated
•
1.4k
•
38
google/gemma-3-12b-it-qat-q4_0-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
12.1k
•
•
58
google/gemma-3-1b-it-qat-q4_0-unquantized
Text Generation
•
1.0B
•
Updated
•
215
•
9
google/gemma-3-4b-it-qat-int4-unquantized
Image-Text-to-Text
•
4B
•
Updated
•
320
•
9
google/gemma-3-12b-it-qat-int4-unquantized
Image-Text-to-Text
•
12B
•
Updated
•
273
•
11
google/gemma-3-1b-it-qat-int4-unquantized
Text Generation
•
1.0B
•
Updated
•
1.04k
•
12
Note
^ unquantized QAT-based checkpoints that allow quantizing while retaining similar quality to half precision