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Decision brief
MGM offers a focused approach on multi-modal vision-language generation tasks with specific dependency requirements.
Good fit when
- When working on projects requiring integration of text and visual data for generation tasks.
- If the latest version (>=4.38.0) of Transformers can be installed without conflicts.
Avoid when
- Avoid if your project requires commercial licensing, as MGM is strictly research-use only under CC BY NC 4.0.
- Not suitable if you are unable to update or ensure the availability of required Python packages like flash-attn and ninja for training purposes.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (835d since push)
- As of 2d
- Provenance
- Not a fork · Organization account
- As of 2d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install MGMHow it fits your stack(9)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A repository focused on developing a multi-modal vision-language model for generation tasks. It requires specific version of Transformers and additional packages for full functionality.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 18, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 18, 2026)
conda create -n mgm python=3.10 -ySource link
Tags
README
Install
Please follow the instructions below to install the required packages.
NOTE: If you want to use the 2B version, please ensure to install the latest version Transformers (>=4.38.0).
- Clone this repository
git clone https://github.com/dvlab-research/MGM.git
- Install Package
conda create -n mgm python=3.10 -y
conda activate mgm
cd MGM
pip install --upgrade pip # enable PEP 660 support
pip install -e .
- Install additional packages for training cases
pip install ninja
pip install flash-attn --no-build-isolation
License
The data and checkpoint is intended and licensed for research use only. They are also restricted to uses that follow the license agreement of LLaVA, LLaMA, Vicuna and GPT-4. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes.
For agents
This page has a .md twin and JSON over the API.