GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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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 Aug 18, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 18, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install MGM PyPIHow 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). 1. Clone this repository 2. Install Package 3. Install additional packages for training cas...
For agents
This page has a .md twin and JSON over the API.