aquila-guidelisted

## Overview Aquila (Beijing Academy of Artificial Intelligence, BAAI) is an open-model family from a major Chinese research institution — notable for research transparency (training details published openly) and bilingual Chinese-English capability. BAAI's academic roots mean the releases come with unusually open documentation of training data, methods, and evaluation. For builders, Aquila's distinctive value is transparency: when you need to understand what's in the model (training data composition, known limitations documented by the trainers), academic releases like Aquila are comparatively forthcoming. The models themselves are solid bilingual open options to include in evaluations. The practical stance: consider Aquila when training transparency matters for your risk assessment, and include it in bilingual benchmarks regardless. ## When to use - Applications where training-data transparency aids risk assessment. - Bilingual Chinese-English open-model evaluations. - Research-adjacent products benefiting from documented training methods. - Fine-tuning transparent base models. - Academic and institutional AI projects. - Diversifying the bilingual model candidate set. ## Core concepts - **Research transparency**: openly documented training data and methods. Read the technical reports — they're more detailed than typical. - **Bilingual capability**: Chinese-English. Per-language evaluation on your tasks. - **Academic provenance**: BAAI institutional backing. Consid