Meta’s latest large-scale language model, Code Llama 70B, is claimed to have the largest parameter scale and best performance, attracting widespread attention in the industry. However, high hardware costs have become a major barrier to widespread use by developers. Although the model has shown excellent performance in tests, some developers have questioned its performance and are worried that the hardware configuration required for its operation is too demanding and difficult to popularize.
Meta released Code Llama 70B, claiming to have the best maximum performance, but developers generally reported that it was difficult to afford the high hardware costs. The model performed well in the test, but some developers pointed out that the performance was not as good as other models and were worried about whether the hardware configuration was sufficient to meet the operating requirements of the 70B model.
The release of Code Llama 70B highlights the challenges faced in the development of large language models: how to strike a balance between performance and cost. In the future, more cost-effective model training and deployment methods will become the key to truly promote AI technology to benefit a wider range of developers and user groups.