DataLearner logo
AQ

AquilaCode-7B-py

Coding modelAquilaCode-7B

AquilaCode-7B-py

Release date: 2023-07-24Updated: 2023-07-24 12:19:32.766546
Live demoGitHubHugging FaceCompare
Parameters
7B
Context length
2K
Chinese support
Supported
Reasoning ability

AquilaCode-7B-py is an AI model published by 北京智源人工智能研究院, released on 2023-07-24, for Coding model, with 7B parameters, and 2K context length, requiring about 13.3GB storage, under the 智源Aquila系列模型许可协议 license.

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

AquilaCode-7B-py

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Coding model
Modality (in / out)
No data
Release date
2023-07-24
Model file size
13.3GB
MoE architecture
No
Total params / Active params
7B / N/A
Knowledge cutoff
No data
AquilaCode-7B-py

Open source & experience

AquilaCode-7B-py

Official resources

Paper
Paper
DataLearnerAI blog
No blog post yet
AquilaCode-7B-py

API details

API speed
No data
No public API pricing yet.
AquilaCode-7B-py

Benchmark Results

No benchmark data to show.

Compare with other models

No curated comparisons for this model yet.

Want a custom combination? Open the compare tool

AquilaCode-7B-py

Publisher

北京智源人工智能研究院
北京智源人工智能研究院
View publisher details
AquilaCode-7B-py

Model Overview

AquilaCode-7B-py is an AI model published by 北京智源人工智能研究院, released on 2023-07-24, for Coding model, with 7B parameters, and 2K context length, requiring about 13.3GB storage, under the 智源Aquila系列模型许可协议 license.

Foundation model

DataLearner on WeChat

Follow DataLearner on WeChat for AI model updates and research notes.

DataLearner WeChat QR code