近日，北京大学aiXcoder团队宣布开源代码大模型aiXcoder-7B Base版，该模型专为企业私有部署设计，以满足企业软件开发的需求。这一举措标志着我国在人工智能领域的发展迈入了新的阶段，为我国企业软件开发带来了革命性的创新。
aiXcoder-7B Base版是一款专门针对企业软件开发场景设计的代码大模型。该模型在1.2T Unique Tokens上进行了大量的训练，以确保模型在实际应用中具有卓越的性能。同时，模型的预训练任务及上下文信息都为真实代码生成场景做了独特的设计，使得aiXcoder-7B Base在代码补全等场景下的表现尤为出色。
在HumanEval、MBPP和MultiPL-E三大主流评测集上，aiXcoder-7B Base的平均得分超过了340亿参数的Codellama。这使得aiXcoder-7B Base在代码补全场景下成为所有同等级参数量模型中效果最好的模型。同时，在主流多语言NL2Code基准测试中，aiXcoder-7B Base的平均上效果也超过了Codellama 34B和StarCoder2 15B，展现了强大的竞争力。
此次开源的aiXcoder-7B Base版模型将为企业带来极大的便利。企业可以将其私有部署，根据自身需求进行定制化开发，提高软件开发效率，降低成本。此外，该模型还能帮助企业提升代码质量，减少代码漏洞，保障软件安全。
aiXcoder-7B Base的开源发布，充分体现了我国在人工智能领域的技术实力和创新能力。未来，随着aiXcoder-7B Base在各行各业的广泛应用，我国企业软件开发将迈向一个新的高度，为我国科技创新和产业升级贡献力量。
北京大学aiXcoder团队始终致力于人工智能技术的研究与开发，积极推动人工智能技术在各个领域的应用。此次开源aiXcoder-7B Base版模型，不仅为企业提供了强大的技术支持，也为我国人工智能产业的发展注入了新的活力。期待北京大学aiXcoder团队在未来的研究中取得更多突破，为我国人工智能事业继续贡献力量。
英语如下：
**Title: Peking University Releases aiXcoder-7B: A Large Code Model for Corporate Software Development**
Keywords: Peking University open source, aiXoder-7B, large code model.
News Content: # Peking University Open Sources aiXoder-7B Code Model: Ushering in a New Era of Corporate Software Development
Recently, the Peking University aiXcoder team announced the open-sourcing of the aiXcoder-7B Base version, a large code model designed for private enterprise deployment to meet the needs of corporate software development. This initiative signifies a new stage in the development of artificial intelligence in our country, bringing about revolutionary innovation to corporate software development in China.
The aiXcoder-7B Base version is a code model specifically designed for corporate software development scenarios. Trained on 1.2T Unique Tokens, the model ensures excellent performance in real-world applications. Additionally, the pre-training tasks and context information of the model are uniquely designed for real code generation scenarios, making aiXcoder-7B Base particularly outstanding in code completion tasks.
On the three mainstream evaluation sets HumanEval, MBPP, and MultiPL-E, the average score of aiXcoder-7B Base surpassed that of Codellama with 3.4 billion parameters. This positions aiXcoder-7B Base as the best-performing model among all models with the same parameter count in code completion scenarios. Moreover, in the mainstream multilingual NL2Code benchmark test, the average effectiveness of aiXcoder-7B Base also exceeded that of Codellama 34B and StarCoder2 15B, showcasing its strong competitiveness.
The open-sourcing of the aiXcoder-7B Base model will bring significant convenience to enterprises. They can deploy it privately and customize development based on their own needs, improving software development efficiency and reducing costs. Furthermore, the model can help enterprises enhance code quality, reduce vulnerabilities, and ensure software security.
The open-source release of aiXcoder-7B Base fully demonstrates China’s technical strength and innovation capabilities in the field of artificial intelligence. In the future, with the wide application of aiXcoder-7B Base in various industries, corporate software development in our country will reach new heights, contributing to China’s scientific and technological innovation and industrial upgrading.
The Peking University aiXcoder team has always been committed to the research and development of artificial intelligence technology and actively promotes its application in various fields. By open-sourcing the aiXcoder-7B Base model, not only do they provide strong technical support for enterprises but also inject new vitality into the development of China’s artificial intelligence industry. We look forward to the Peking University aiXcoder team making more breakthroughs in future research and continuing to contribute to China’s artificial intelligence cause.
【来源】https://www.qbitai.com/2024/04/134070.html
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