Blaze (Finetuned Variant)

This model is a finetuned version of the BLAZE model described in the paper:

BLAZE: Cross‑Language and Cross‑Project Bug Localization via Dynamic Chunking and Hard Example Learning
DOI: 10.5281/zenodo.15122980 :contentReference[oaicite:1]{index=1}

📘 What’s Inside

A Transformer-based bug localization model fine-tuned on additional cross-project datasets to enhance its ability to pinpoint bugs in unseen codebases.

🧪 Fine-tuning Details

Starting point: Pretrained Blaze model from Zenodo.
Enhancements: Further trained on a curated dataset using dynamic chunking and hard-negative sampling — all detailed in the original manuscript and accompanying code release.

🔍 Intended Usage

Primary task: Automatic identification of buggy code segments across languages and projects.
How to use: Load the model and feed it code snippets to receive localized bug predictions.

📄 Citation

If you use this model, please cite:

BLAZE: Cross‑Language and Cross‑Project Bug Localization via Dynamic Chunking and Hard Example Learning, available at DOI: 10.5281/zenodo.15122980 :contentReference[oaicite:2]{index=2}

📁 Contents of This Repo

config.json
pytorch_model.bin (or tf_model.h5)
tokenizer.json (if applicable)
README.md

🛠️ Setup

pip install transformers huggingface_hub