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Gemma 3 12B Pt by google

By google · 36842 downloads

Gemma 3 12B Pt is an open-source language model by google. Features: 12b LLM, VRAM: 24.3GB, License: gemma, LLM Explorer Score: 0.23.

  Arxiv:1705.03551   Arxiv:1810.12440   Arxiv:1903.00161   Arxiv:1904.09728   Arxiv:1905.07830   Arxiv:1905.10044   Arxiv:1907.10641   Arxiv:1908.02660   Arxiv:1910.11856   Arxiv:1911.01547   Arxiv:1911.11641   Arxiv:2009.03300   Arxiv:2103.03874   Arxiv:2104.12756   Arxiv:2106.03193   Arxiv:2107.03374   Arxiv:2108.07732   Arxiv:2110.14168   Arxiv:2203.10244   Arxiv:2210.03057   Arxiv:2304.06364   Arxiv:2311.12022   Arxiv:2311.16502   Arxiv:2312.11805   Arxiv:2404.12390   Arxiv:2404.16816   Arxiv:2502.12404   Arxiv:2502.21228   Endpoints compatible   Gemma3   Image-text-to-text   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF πŸ€—: https://huggingface.co/google/gemma-3-12b-pt 

Gemma 3 12B Pt Parameters and Internals

LLM NameGemma 3 12B Pt
Repository πŸ€—https://huggingface.co/google/gemma-3-12b-pt 
Base Model(s)  google/gemma-3-12b   google/gemma-3-12b
Model Size12b
Required VRAM24.3 GB
Updated2026-08-09
Maintainergoogle
Model Typegemma3
Model Files  5.0 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.6 GB: 5-of-5
Model ArchitectureGemma3ForConditionalGeneration
Licensegemma
Transformers Version4.50.0.dev0
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Torch Data Typebfloat16

Quantized Models of the Gemma 3 12B Pt

Model
Likes
Downloads
VRAM
Gemma 3 12B It 4bit668328 GB
Gemma 3 12B It 8bit224214 GB

Best Alternatives to Gemma 3 12B Pt

Best Alternatives
Context / RAM
Downloads
Likes
Fallen Gemma3 12B V1128K / 24.3 GB1824
Gemma 3 12B It0K / 24.3 GB2853479723
Translategemma 12B It0K / 24.3 GB12161324
ClipTagger 12B0K / 13.6 GB2059
Safeword Casual V1 12B0K / 24.3 GB446
Gemma 3 R1 12B V10K / 24.3 GB614
Gemma 3 12B It Bf160K / 26.4 GB8362
... 3 12B It Qat Int4 Unquantized0K / 24.3 GB27212
Gemma 3 12B It Abliterated0K / 24.3 GB35432
Amoral Fallen Omega Gemma3 12B0K / 24.2 GB1417
Note: green Score (e.g. "73.2") means that the model is better than google/gemma-3-12b-pt.