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jordanpainter/diallm-qwen-cpt
diallm-qwen-cpt 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 apache-2.0.
Part of DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation (EMNLP 2026 Main).
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From the Hugging Face model README
Part of DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation (EMNLP 2026 Main).

Continually pretrained on the International Corpus of English (18 varieties, ~20M tokens) using GaLore for memory-efficient full-parameter optimisation. This is the shared foundation checkpoint both the implicit and explicit adaptation threads branch from.
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}
}