llm4lint 0.0.1

A Linter that uses LLM to analyze code

LLM4LINT

A Static Analysis Tool built by finetuning Qwen2.5 Coder using unsloth.

Features:

• 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).
• Dataset created using this script: https://huggingface.co/datasets/ahmedhus22/python-static-analysis-linting

Usage:

llm4lint [-h] [-i] filename

• 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

Installation (For Inference Only)

pip install llm4lint

• Download the fine-tuned model from Hugging Face .gguf and Modelfile

• Create ollama Model

`ollama create llm4lint7b -f <Modelfile-Path>`

Now, You can access the linter anywhere in terminal using

llm4lint <filename> [options]