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MODEL Listed

gemma-4-12B-it

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.

googleany to any
01 / MODEL CARD

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 typeany to any
Providergoogle
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/google/gemma-4-12B-it
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

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.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: google/gemma-4-12B-it
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model google/gemma-4-12B-it
Download one file to a local directory

README.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 ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('google/gemma-4-12B-it')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/google/gemma-4-12B-it.git
Clone without downloading LFS blobs

Fetch 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.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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