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jordanpainter/diallm-llama-sft-aus
diallm-llama-sft-aus is a machine learning model from jordanpainter. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.1.
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From the Hugging Face model README
Built with Llama.
Part of DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation (EMNLP 2026 Main).

Fine-tuned from jordanpainter/diallm-llama-cpt on the dialect-specific preference dataset for en-AU (Australian English), so the chosen completions already contain Multi-VALUE dialectal features.
Code, checkpoints, preference datasets, linguistic-analysis toolkit: https://github.com/surrey-nlp/diallm
Paper: https://arxiv.org/abs/2607.07669
@article{painter2026diallm,
title = {DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation},
author = {Painter, Jordan and Srirag, Dipankar and Kappiyath, Adarsh and Kanojia, Diptesh and Joshi, Aditya and Yin, Lu},
year = {2026},
eprint = {2607.07669},
archivePrefix = {arXiv}
}