GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
GLM-130B is an open-source bilingual pre-trained model under the Apache-2.0 license, with specific terms for its model weights.
Good fit when
- Use GLM-130B when you need a bilingual pre-trained model for tasks that require understanding or generating content in two languages.
- Consider GLM-130B if your project benefits from an open-source model with a clear licensing framework, allowing for transparency and community contributions.
Avoid when
- Avoid GLM-130B if your project strictly requires a monolingual model, as its bilingual nature might introduce unnecessary complexity.
- Do not use GLM-130B if your application cannot comply with the specific terms outlined in the Model License, as this could lead to legal complications.
- Pricing:
- freemium - The model is free to use under the Apache-2.0 license, but the use of its weights is subject to specific terms.
- Requirements:
- Min 16 GB RAM; Ensure compliance with the Model License when using the model weights.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (1150d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No criticals
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install GLM-130B PyPISimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
GLM-130B is an open-source bilingual pre-trained model released under the Apache-2.0 license, with specific terms for model weights use.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
Categories
Tags
README
License This repository is licensed under the Apache 2.0 license. The use of GLM 130B model weights is subject to the Model License.
For agents
This page has a .md twin and JSON over the API.