Aquila-7B

Name: Aquila-7B
Author: Beijing Academy of Artificial Intelligence

Foundation model

Aquila-7B

Release date: 2023-06-10Updated: 2023-07-07 23:02:30.202629

Live demoGitHub Hugging Face Compare

Parameters

Context length

Chinese support

Supported

Reasoning ability

Aquila-7B is an AI model published by Beijing Academy of Artificial Intelligence, released on 2023-06-10, for Foundation model, with 7B parameters, and 2K context length, with a 25.58 score on AGIEval.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Aquila-7B

Model basics

Reasoning traces

Not supported

Thinking modes

Thinking modes not supported

Context length

2K tokens

Max output length

No data

Model type

Foundation model

Modality (in / out)

No data

Release date

2023-06-10

Model file size

No data

MoE architecture

Total params / Active params

7B / N/A

Knowledge cutoff

No data

Aquila-7B

Open source & experience

Code license

Apache 2.0

Weights license

- Commercial use permitted

GitHub repo

https://github.com/FlagAI-Open/FlagAI/tree/master/examples/Aquila

Hugging Face

https://huggingface.co/BAAI

Live demo

No live demo

Aquila-7B

Official resources

Paper

DataLearnerAI blog

No blog post yet

Aquila-7B

API details

API speed

No data

No public API pricing yet.

Aquila-7B

Benchmark Results

Aquila-7B currently shows benchmark results led by AGIEval (24 / 28, score 25.58), C-Eval (45 / 48, score 25.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.