GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Official suite for Aquila2 series LLM by BAAI
Good fit when
- Need specialized support from Beijing Academy of Artificial Intelligence
- Research or rely on Chinese-language resources
Avoid when
- Require comprehensive API and documentation clarity
- Preferring open source licensing details
Observed Jul 15, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (708d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 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 Aquila2Similar 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
Provides pretrained and chat-capable large language models developed by Beijing Academy of Artificial Intelligence (BAAI).
Capability facts
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
* python 3.10 and aboveSource link
Tags
README
Requirements python 3.10 and above pytorch 1.12 and above, 2.0 and above are recommended transformers 4.32 and above CUDA 11.4 and above are recommended (this is for GPU users, flash attention users, etc.) <br <br Using Docker Image For the environment that meets these requiremen...
For agents
This page has a .md twin and JSON over the API.