Model card
The Gemma 4 12B-it is a versatile, instruction-tuned model designed for developers needing high-density intelligence in a mid-sized parameter footprint. Unlike traditional text-only LLMs, this is an 'any-to-any' multimodal model, meaning it can natively process and reason across different data modalities within a single architecture. For developers, this simplifies the pipeline by removing the need for separate encoder-decoder setups for vision or audio tasks. At 12B parameters, it strikes a pragmatic balance between high-reasoning capabilities and deployment efficiency, making it suitable for edge computing or cost-effective cloud inference. Whether you are building complex multimodal agents, automated visual inspection tools, or sophisticated conversational interfaces, the 12B-it provides a robust foundation that outperforms larger models in latency-sensitive environments while maintaining strong instruction-following accuracy under the Apache-2.0 license.
Model files and versions
Download this model
We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.
google/gemma-4-12B-itInstall the CLI and SDK dependency before downloading.
pip install modelscopeDownload the complete weights, configuration and model card.
modelscope download --model google/gemma-4-12B-itREADME.md is used as an example; replace it with another repository file when needed.
modelscope download --model google/gemma-4-12B-it README.md --local_dir ./dirUseful in Python projects and automation scripts.
from modelscope import snapshot_download
model_dir = snapshot_download('google/gemma-4-12B-it')Make sure Git LFS is installed correctly.
git lfs install
git clone https://www.modelscope.cn/google/gemma-4-12B-it.gitFetch the repository structure first, then pull large files when needed.
GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/google/gemma-4-12B-it.gitHow to use
- 01Step 1
Read the model card and source information.
- 02Step 2
Start with a small, non-sensitive evaluation.
- 03Step 3
Review quality, licensing and usage limits.
- 04Step 4
Adopt it only after validation.
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