A Static Analysis Tool built by finetuning Qwen2.5 Coder using unsloth.
- Linting of Python source code in traditional linting format and an interactive mode.
- You can also provide your own data to create a different model (use train.py script):
- Specify your own examples in a csv file with input and output columns.
output should be
<lineno> - <type>: <issue>. With just 1 example multiple datapoints are created using augmentation. - Augmentation of inputs:
- Variable names are replaced with different names to make sure model does not memorize the code.
- Additional code is added before and after your input example. (outputs are also adjusted to account for lineno changes).
- Specify your own examples in a csv file with input and output columns.
output should be
- Dataset created using this script: https://huggingface.co/datasets/ahmedhus22/python-static-analysis-linting
llm4lint [-h] [-i] filename
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positional arguments: filename Python Source File to lint
-
options:
- -h, --help show this help message and exit
- -i, --interactive starts chat interface for interacting with model
pip install llm4lint
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Download the fine-tuned model from Hugging Face .gguf and Modelfile
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Create ollama Model
`ollama create llm4lint7b -f <Modelfile-Path>`
Now, You can access the linter anywhere in terminal using
llm4lint <filename> [options]