CodeAtCMU/Qwen3-4B-Base_full_sft_CSharp_data_12K
CodeAtCMU/Qwen3-4B-Base_full_sft_CSharp_data_12K is a 4 billion parameter language model developed by CodeAtCMU. This model is a fine-tuned version of the Qwen3-4B-Base, specifically optimized for tasks related to C# programming. With a context length of 32768 tokens, it is designed to assist developers with C# code generation and understanding.
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Model Overview
This model, CodeAtCMU/Qwen3-4B-Base_full_sft_CSharp_data_12K, is a 4 billion parameter language model developed by CodeAtCMU. It is a fine-tuned variant of the Qwen3-4B-Base architecture, specifically trained with a focus on C# programming data. The model boasts a substantial context length of 32768 tokens, enabling it to process and generate longer sequences of code and related text.
Key Capabilities
- C# Code Understanding: Optimized for interpreting and analyzing C# code structures and logic.
- C# Code Generation: Capable of generating C# code snippets, functions, or classes based on given prompts.
- Extended Context: Benefits from a 32K token context window, useful for handling larger C# files or complex programming tasks.
Use Cases
This model is particularly well-suited for applications requiring strong proficiency in C# programming. Developers can leverage it for:
- Assisting with C# development workflows.
- Generating boilerplate C# code.
- Understanding and debugging C# codebases.
- Educational tools focused on C# programming.