面向沃洛夫语的开源工业级语言模型

Wolof-Adapted Industry-Ready Open-Weight Language Models

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研究者发布 0.6B-14B 开源权重模型，通过指令微调、偏好对齐与模型合并适配沃洛夫语。在 63 个公开与内部任务上，模型在沃洛夫语理解与生成上表现良好，8B 和 14B 版本可与规模大得多的商业系统竞争。模型正用于内部客服试点，并已公开可用。

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Authors:Gwénolé Lecorvé, Delphine Charlet, Pierre Adam, Floriane Behanzin, Lionel Delphin-Poulat, Johannes Heinecke, Géraldine Damnati, Pelin Kaytmaz, Nourredine Khaous, Charbel Kindji, Meriam Maadi, Abdoulaye Mbaye, Claire Perroux, Ismaël Rousseau, Papa Séga Wadé, Gilles Xiberras, Olivier Zhang, Malek Zitouni

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Abstract:Wolof is spoken by 23M people, mostly in Senegal, but remains weakly supported by open-weight language models, while API models raise cost, governance, and sovereignty constraints for local deployments. In this paper, we present 0.6B-14B open-weight models adapted to Wolof through instruction tuning, preference alignment, and model merging. After presenting the pipeline and data, extensive experiments on 63~public and in-house tasks show good performance on Wolof understanding and generation while remaining effective on other languages and cross-lingual skills, with the 8B and 14B models being particularly competitive with substantially larger commercial systems. The models are currently being evaluated in internal customer-care pilots and are publicly available at this https URL .

Comments:	6 + 47 pages (main + appendices), 27 tables, 1 figure
Subjects:	Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as:	arXiv:2610.20824 [cs.CL]
	(or arXiv:2610.20824v1 [cs.CL] for this version)
	https://doi.org/10.48550/arXiv.2610.20824 arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Gwénolé Lecorvé [view email]
[v1] Wed, 14 Oct 2026 19:10:23 UTC (215 KB)

来源：arXiv cs.CL · arxiv.org