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starcoder2-7b_question-quality
aieng-lab/starcoder2-7b_question-quality
starcoder2-7b_question-quality is a text classification model from aieng-lab. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model classifies questions in developer forums (e.g., Stack Overflow) as 'LQCLOSE' (low-quality), 'LQEDIT' (low-quality, require community edits), 'HQ' (high-quality).
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- starcoder2
- Access
- Public
- Created
- Jun 13, 2025
- Updated
- Jun 13, 2025
- SHA
- a58c4368
Try a prompt
Base models
Model card
From the Hugging Face model README
StarCoder2 7b for classifying developer questions
This model classifies questions in developer forums (e.g., Stack Overflow) as 'LQ_CLOSE' (low-quality), 'LQ_EDIT' (low-quality, require community edits), 'HQ' (high-quality).
- Developed by: Fabian C. Peña, Steffen Herbold
- Finetuned from: bigcode/starcoder2-7b
- Replication kit: https://github.com/aieng-lab/senlp-benchmark
- Language: English
- License: MIT
Citation
@misc{pena2025benchmark,
author = {Fabian Peña and Steffen Herbold},
title = {Evaluating Large Language Models on Non-Code Software Engineering Tasks},
year = {2025}
}
- Task
- Text Classification
- Library
- transformers
- Type
- starcoder2
- License
- mit
- Languages
- en
- Created
- Jun 13, 2025
- Updated
- Jun 13, 2025