slenk/codewraith-merged-8b
The slenk/codewraith-merged-8b is an 8 billion parameter Llama 3.1 Instruct model, fine-tuned by slenk, specifically designed for generating technical specifications from Python source code. This model excels at transforming Python code into structured technical documentation, making it highly effective for automated code documentation tasks. It was developed as part of the CodeWraith project, focusing on a teacher-student architecture for specification generation.
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CodeWraith Merged 8B: Python Specification Generation
slenk/codewraith-merged-8b is an 8 billion parameter model based on the Llama 3.1 Instruct architecture, specifically fine-tuned to generate technical specifications directly from Python source code. This model is a key component of the CodeWraith project, which employs a teacher-student architecture for automated Python module specification generation.
Key Capabilities
- Automated Technical Specification Generation: Specializes in converting Python source code into structured technical specifications.
- Llama 3.1 Instruct Base: Built upon the robust
unsloth/Llama-3.1-8B-Instructmodel. - LoRA Fine-tuning: Utilizes LoRA (r=16) fine-tuning, with merged weights, for specialized performance.
- Targeted Training Data: Trained on 197 pairs of data generated by
Qwen2.5-Coder-14B-AWQ, focusing on code-to-spec conversion. - High Structural Accuracy: Achieved a 0.98 structural score on 34 held-out evaluation examples, with 24 out of 34 examples being perfectly generated.
Ideal Use Cases
- Developer Tooling: Automating the creation of documentation for Python modules and functions.
- Code Analysis: Generating high-level overviews or detailed specifications from existing Python codebases.
- Project Documentation: Streamlining the process of maintaining up-to-date technical specifications for Python projects.