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Aquila2

FlagAI-Open/Aquila2

Official repository for Aquila2 series large language models by BAAI

GraphCanon updated 3w · GitHub synced 3w

446 stars32 forksLast push 1y Python

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 (652d since push)
As of 3w
Provenance
Not a fork · Organization account
As of 3w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install Aquila2
PyPI

Similar 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 · Jul 26, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Jul 26, 2026)

* python 3.10 and above
Source 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.)


Using Docker Image

For the environment that meets these requirements, you can also set up the environment required for Aquila2 by directly downloading the Docker TAR file, then loading and running it. Because of all already installed dependencies, in the container you just pull all sources FlagAI and Aquila2 and include both paths int environment variable, like export PYTHONPATH=$FLAGAI_HOME:$AQUILA2_HOME:$PYTHONPATH.

Now you can use BAAI Modelhub or 🤗 Transformers to run our model。


License Agreement

The Aquila2 project is based on the Apache 2.0 license; The Aquila2 series models are based on the BAAI Aquila Model License Agreement. Specially the Aquila2 70B series models are based on the BAAI Aquila 70B Model License Agreement.



For agents

This page has a .md twin and JSON over the API.

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