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LLaMAX/GlotMAX-101-14B-LST
GlotMAX-101-14B-LST is a machine learning model from LLaMAX. 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 mit.
- Paper: LLaMAX2: Your Translation-Enhanced Model Also Performs Well in Reasoning - Link: https://arxiv.org/pdf/2510.09189 (new version comming soon) - Repository: https://github.com/CONE-MT/LLaMAX2.0
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From the Hugging Face model README
GlotMAX is a language model with powerful multilingual capabilities and strong reasoning.
GlotMAX-101-14B series models start from Qwen3-14B instruct models with layer-slective tuning using small amount of parallel data alone.
Meanwhile, comprehensive testing on 16 reasoning tasks, such as bbeh, Livecodebench, Olymmath and so on, shows that it surpasses existing translation-enhanced models and performs on par with Qwen3 instruct models.
GlotMAX-101-14B achieves an average spBLEU score improvement of over 6 points compared to the Qwen3-14B model on the Flores-101 dataset, 3.5 points compared with LLaMAX3-8B-Alpaca.
Akrikaans (af), Amharic (am), Arabic (ar), Armenian (hy), Assamese (as), Asturian (ast), Azerbaijani (az), Belarusian (be), Bengali (bn), Bosnian (bs), Bulgarian (bg), Burmese (my), Catalan (ca), Cebuano (ceb), Chinese Simpl (zho), Chinese Trad (zho), Croatian (hr), Czech (cs), Danish (da), Dutch (nl), English (en), Estonian (et), Filipino (tl), Finnish (fi), French (fr), Fulah (ff), Galician (gl), Ganda (lg), Georgian (ka), German (de), Greek (el), Gujarati (gu), Hausa (ha), Hebrew (he), Hindi (hi), Hungarian (hu), Icelandic (is), Igbo (ig), Indonesian (id), Irish (ga), Italian (it), Japanese (ja), Javanese (jv), Kabuverdianu (kea), Kamba (kam), Kannada (kn), Kazakh (kk), Khmer (km), Korean (ko), Kyrgyz (ky), Lao (lo), Latvian (lv), Lingala (ln), Lithuanian (lt), Luo (luo), Luxembourgish (lb), Macedonian (mk), Malay (ms), Malayalam (ml), Maltese (mt), Maori (mi), Marathi (mr), Mongolian (mn), Nepali (ne), Northern Sotho (ns), Norwegian (no), Nyanja (ny), Occitan (oc), Oriya (or), Oromo (om), Pashto (ps), Persian (fa), Polish (pl), Portuguese (pt), Punjabi (pa), Romanian (ro), Russian (ru), Serbian (sr), Shona (sn), Sindhi (sd), Slovak (sk), Slovenian (sl), Somali (so), Sorani Kurdish (ku), Spanish (es), Swahili (sw), Swedish (sv), Tajik (tg), Tamil (ta), Telugu (te), Thai (th), Turkish (tr), Ukrainian (uk), Umbundu (umb), Urdu (ur), Uzbek (uz), Vietnamese (vi), Welsh (cy), Wolof (wo), Xhosa (xh), Yoruba (yo), Zulu (zu)
We implement multiple versions of the GlotMAX model, the model links are as follows:
If our model helps your work, please cite this paper:
@misc{gaoLLaMAX2YourTranslationEnhanced2025,
title = {{{LLaMAX2}}: {{Your Translation-Enhanced Model}} Also {{Performs Well}} in {{Reasoning}}},
shorttitle = {{{LLaMAX2}}},
author = {Gao, Changjiang and Huang, Zixian and Gong, Jingyang and Huang, Shujian and Li, Lei and Yuan, Fei},
year = {2025},
month = oct,
number = {arXiv:2510.09189},
eprint = {2510.09189},
primaryclass = {cs},
publisher = {arXiv},
doi = {10.48550/arXiv.2510.09189},
archiveprefix = {arXiv}
}