Tsinghua University Open Sources CodeGeeX4-ALL-9B: A Groundbreaking Multilingual Code Generation Model Outperforming Major Competitors and Elevating Code Assistance
Can CodeGeeX4-ALL-9B run on both GPUs and CPUs?
Yes, CodeGeeX4-ALL-9B can run on both GPUs and CPUs. Its user-friendly design allows developers to easily integrate it into their workflows, and the model supports different computational environments, including GPUs and CPUs3. This flexibility ensures widespread adoption and maximizes its impact across the software development community.
Who developed the CodeGeeX4-ALL-9B model?
The CodeGeeX4-ALL-9B model was developed by the Knowledge Engineering Group (KEG) and Data Mining team at Tsinghua University. This model is part of the renowned CodeGeeX series and represents a significant advancement in multilingual code generation.
What is the CodeGeeX4-ALL-9B model?
The CodeGeeX4-ALL-9B model is an advanced code generation model developed by the Knowledge Engineering Group (KEG) and Data Mining team at Tsinghua University. Trained on the GLM-4-9B framework, it offers multilingual code generation capabilities, covering aspects like code completion, interpretation, web search, and repository-level Q&A. With a parameter count of 9.4 billion, it surpasses larger general-purpose models in performance and efficiency, making it a valuable tool for software development tasks.