Codestral

Codestral: Empowering Developers with Mistral AI | Frontier AI in your hands

导言

Discover Codestral, an open-weight generative AI model designed to assist developers in code generation tasks. Save time and reduce errors with Codestral's advanced capabilities. Download and test Codestral today!


已添加:

2024年5月31日

每月访客数:

SimilarWeb Icon
4.0M

联盟计划:

No

Codestral: Empowering Developers with Mistral AI | Frontier AI in your hands

Codestral's 概述

Codestral is an open-weight generative AI model designed for code generation tasks. Trained on 80+ programming languages, including Python, Java, C, C++, JavaScript, and Bash, Codestral can assist developers in various coding environments. It saves time and effort by completing coding functions, writing tests, and filling in partial code. With a larger context window of 32k, Codestral outperforms other models in code generation performance. It performs well in Python, SQL, and other languages, as evaluated through benchmarks. Codestral can be downloaded on HuggingFace and used via the dedicated endpoint codestral.mistral.ai. It is also available on the API endpoint api.mistral.ai. Developers can interact with Codestral naturally through Le Chat, a conversational interface. Integration with popular tools like LlamaIndex, LangChain, VSCode, and JetBrains enhances its usability. Codestral is a powerful tool that empowers developers with code generation and understanding.


Codestral's 特点

  • Code generation assistance

  • Completion of coding functions

  • Partial code filling


Codestral's 问答


Codestral's 定价

Codestral is a 22B open-weight model licensed under the new Mistral AI Non-Production License (MNPL), which means that you can use it for research and testing purposes. It can be downloaded on HuggingFace.

Codestral's 分析

网站概述

关键性能指标 mistral.ai

跳出率

39.05%

页面/访问

3.48

总访问量

3,989,987

现场时间

6m 7s

全球排名

#16,970

国家排名

#3,503

顶级地区

按国家分列的交通流量分布情况

  • 1.
    Russia25.95%
  • 2.
    France14.05%
  • 3.
    United States12.87%
  • 4.
    India3.06%

游客总数

过去 3 个月的每月访客统计

趋势向下 by 2.1% 本月
April - June 2024

流量来源

流量来源分布

Social:
4.8%
Paid Referrals:
0.0%
Mail:
1.3%
Referrals:
2.2%
Search:
27.9%
Direct:
63.8%
主要来源: Direct
63.8% 占总流量的百分比

Codestral's 替代品