MODEL PROFILE

afro-xlmr-large

Davlan · afro-xlmr-large

AfroXLMR-large was created by MLM adaptation of XLM-R-large model on 17 African languages (Afrikaans, Amharic, Hausa, Igbo, Malagasy, Chichewa, Oromo, Nigerian-Pidgin, Kinyarwanda, Kirundi, Shona, Somali, Sesotho, Swahili, isiXhosa, Yoruba, and isiZulu) covering the major African language families and 3 high-resource languages (Arabic, French, and English). language| XLM-R-miniLM| XLM-R-base |XLM-R-large | afro-xlmr-large | afro-xlmr-base | afro-xlmr-small | afro-xlmr-mini -|-|-|-|-|-|-|- amh |69.5|70.6|76.2|79.7|76.1|70.1|69.7 hau |74.5|89.5|90.5|91.4|91.2|91.4|87.7 ibo |81.9|84.8|84.1|87.7|87.4|86.6|83.5 kin |68.6|73.3|73.8|79.1|78.0|77.5|74.1 lug |64.7|79.7|81.6|86.7|82.9|83.2|77.4 luo |11.7|74.9|73.6|78.1|75.1|75.4|17.5 pcm |83.2|87.3|89.0|91.0|89.6|89.0|85.5 swa |86.3|87.4|89.4|90.4|88.6|88.7|86.0 wol |51.7|63.9|67.9|69.6|67.4|65.9|59.0 yor |72.0|78.3|78.9|85.2|82.1|81.3|75.1 avg |66.4|79.0|80.5|83.9|81.8|80.9|71.6

Fill-masklicense:mit
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/30 05:18:07
OVERVIEW

Model overview

AfroXLMR-large was created by MLM adaptation of XLM-R-large model on 17 African languages (Afrikaans, Amharic, Hausa, Igbo, Malagasy, Chichewa, Oromo, Nigerian-Pidgin, Kinyarwanda, Kirundi, Shona, Somali, Sesotho, Swahili, isiXhosa, Yoruba, and isiZulu) covering the major African language families and 3 high-resource languages (Arabic, French, and English). language| XLM-R-miniLM| XLM-R-base |XLM-R-large | afro-xlmr-large | afro-xlmr-base | afro-xlmr-small | afro-xlmr-mini -|-|-|-|-|-|-|- amh |69.5|70.6|76.2|79.7|76.1|70.1|69.7 hau |74.5|89.5|90.5|91.4|91.2|91.4|87.7 ibo |81.9|84.8|84.1|87.7|87.4|86.6|83.5 kin |68.6|73.3|73.8|79.1|78.0|77.5|74.1 lug |64.7|79.7|81.6|86.7|82.9|83.2|77.4 luo |11.7|74.9|73.6|78.1|75.1|75.4|17.5 pcm |83.2|87.3|89.0|91.0|89.6|89.0|85.5 swa |86.3|87.4|89.4|90.4|88.6|88.7|86.0 wol |51.7|63.9|67.9|69.6|67.4|65.9|59.0 yor |72.0|78.3|78.9|85.2|82.1|81.3|75.1 avg |66.4|79.0|80.5|83.9|81.8|80.9|71.6

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。