GraphCanon updated Sep 25, 2026 · GitHub synced Sep 25, 2026
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Decision brief
BMList catalogs big models with at least one billion parameters publicly released through papers, articles, or news.
Good fit when
- If you are interested in tracking the latest trends of large-scale models in AI research and development.
- For users who want to access a curated list of models that have been openly shared by their organizations.
Avoid when
- If you require tools or platforms rather than lists, where actual interaction with models through APIs is necessary.
- For scenarios needing real-time updates from the latest research papers directly as BMList relies on publicly released information through various means not always immediately updated.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (79d since push)
- As of Sep 25, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 25, 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 BMList PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
BMList catalogs big models with at least one billion parameters that have been publicly released through various means.
Capability facts
- Languages
- python
Source: github.language · Sep 25, 2026
Categories
Tags
README
<div align="center" <h1 BMList</h1 A List of Big Models </div Introduction Welcome to BMList! We wish to use this list to show the recent trend of big models. In BMList, we list models that: 1. Have at least 1 billion parameters; 2. Have been publicly released either by a paper,...
For agents
This page has a .md twin and JSON over the API.