LLaMAX
/

GlotMAX-101-8B-LST

+---
+tags:
+- Multilingual
+license: mit
+language:
+- af
+- am
+- ar
+- hy
+- as
+- ast
+- az
+- be
+- bn
+- bs
+- bg
+- my
+- ca
+- ceb
+- zho
+- hr
+- cs
+- da
+- nl
+- en
+- et
+- tl
+- fi
+- fr
+- ff
+- gl
+- lg
+- ka
+- de
+- el
+- gu
+- ha
+- he
+- hi
+- hu
+- is
+- ig
+- id
+- ga
+- it
+- ja
+- jv
+- kea
+- kam
+- kn
+- kk
+- km
+- ko
+- ky
+- lo
+- lv
+- ln
+- lt
+- luo
+- lb
+- mk
+- ms
+- ml
+- mt
+- mi
+- mr
+- mn
+- ne
+- ns
+- no
+- ny
+- oc
+- or
+- om
+- ps
+- fa
+- pl
+- pt
+- pa
+- ro
+- ru
+- sr
+- sn
+- sd
+- sk
+- sl
+- so
+- ku
+- es
+- sw
+- sv
+- tg
+- ta
+- te
+- th
+- tr
+- uk
+- umb
+- ur
+- uz
+- vi
+- cy
+- wo
+- xh
+- yo
+- zu
+---
+### Model Sources
+- **Paper**: LLaMAX2: Your Translation-Enhanced Model Also Performs Well in Reasoning
+- **Link**: https://arxiv.org/pdf/2510.09189
+- **Repository**: https://github.com/CONE-MT/LLaMAX2.0
+### Model Description
+GlotMAX is a language model with powerful multilingual capabilities and strong reasoning.
+Qwen3-GlotMAX series models start from Qwen3-8B 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.
+### 🔥 Excellent Translation Performance
+LLaMAX3-8B-Alpaca achieves an average spBLEU score improvement of over **5 points** compared to the LLaMA3-8B-Alpaca model on the Flores-101 dataset.
+### Supported Languages
+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)
+### Model Index
+We implement multiple versions of the LLaMAX model, the model links are as follows:
+| Model                         |  GlotMAX                                            |
+|-------------------------------|----------------------------------------------------------|
+| GlotMAX-17-8B | [Link](https://huggingface.co/LLaMAX/GlotMAX-17-8B) |
+| GlotMAX-17-14B      | [Link](https://huggingface.co/LLaMAX/GlotMAX-17-14B) |
+| 👉 **GlotMAX-101-8B**      | [Link](https://huggingface.co/LLaMAX/GlotMAX-101-8B) |
+| GlotMAX-101-14B      | [Link](https://huggingface.co/LLaMAX/GlotMAX-101-14B) |
+### Citation
+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}
+}
+```