content.raw: Hi everyone,
content.type: text
content.value: Hi everyone,
content.type: new_line
content.type: new_line
content.raw: I am excited to introduce our latest work, LLaMAX.  😁😁😁
content.type: text
content.value: I am excited to introduce our latest work, LLaMAX.  😁😁😁
content.type: new_line
content.type: new_line
content.raw: LLaMAX is a powerful language model created specifically for multilingual scenarios. Built upon Meta's LLaMA series models, LLaMAX undergoes extensive training across more than 100 languages. 
content.type: text
content.value: LLaMAX is a powerful language model created specifically for multilingual scenarios. Built upon Meta's LLaMA series models, LLaMAX undergoes extensive training across more than 100 languages. 
content.type: new_line
content.type: new_line
content.raw: Remarkably, it enhances its multilingual capabilities without compromising its generalization ability, surpassing existing LLMs.
content.type: text
content.value: Remarkably, it enhances its multilingual capabilities without compromising its generalization ability, surpassing existing LLMs.
content.type: new_line
content.type: new_line
content.raw: ✨Highlights:
content.type: text
content.value: ✨Highlights:
content.type: new_line
content.type: new_line
content.raw: 🎈 LLaMAX supports the 102 languages covered by Flores-101, and its performance in translating between low-resource languages far surpasses other decoder-only LLMs.
content.type: text
content.value: 🎈 LLaMAX supports the 102 languages covered by Flores-101, and its performance in translating between low-resource languages far surpasses other decoder-only LLMs.
content.type: new_line
content.type: new_line
content.raw: 🎈 Even for languages not covered in Flores-200, LLaMAX still shows significant improvements in translation performance.
content.type: text
content.value: 🎈 Even for languages not covered in Flores-200, LLaMAX still shows significant improvements in translation performance.
content.type: new_line
content.type: new_line
content.raw: 🎈 By performing simple SFT on English task data, LLaMAX demonstrates impressive multilingual transfer abilities in downstream tasks.
content.type: text
content.value: 🎈 By performing simple SFT on English task data, LLaMAX demonstrates impressive multilingual transfer abilities in downstream tasks.
content.type: new_line
content.type: new_line
content.raw: 🎈 In our paper, we discuss effective methods for enhancing the multilingual capabilities of LLMs during the continued training phase.
content.type: text
content.value: 🎈 In our paper, we discuss effective methods for enhancing the multilingual capabilities of LLMs during the continued training phase.
content.type: new_line
content.type: new_line
content.raw: We welcome you to use our model and provide feedback.
content.type: text
content.value: We welcome you to use our model and provide feedback.
content.type: new_line
content.type: new_line
content.raw: More Details:
content.type: text
content.value: More Details:
content.type: new_line
content.type: new_line
content.raw: 🎉  Code:  
content.type: text
content.value: 🎉  Code:  
content.href: https://github.com/CONE-MT/LLaMAX/
content.raw: https://github.com/CONE-MT/LLaMAX/
content.type: link
content.type: new_line
content.type: new_line
content.raw: 🎉  Model:   
content.type: text
content.value: 🎉  Model:   
content.href: https://huggingface.co/LLaMAX/
content.raw: https://huggingface.co/LLaMAX/
content.type: link
rawContent: Hi everyone,
  
  I am excited to introduce our latest work, LLaMAX.  😁😁😁
  
  LLaMAX is a powerful language model created specifically for multilingual scenarios. Built upon Meta's LLaMA series models, LLaMAX undergoes extensive training across more than 100 languages. 
  
  Remarkably, it enhances its multilingual capabilities without compromising its generalization ability, surpassing existing LLMs.
  
  ✨Highlights:
  
  🎈 LLaMAX supports the 102 languages covered by Flores-101, and its performance in translating between low-resource languages far surpasses other decoder-only LLMs.
  
  🎈 Even for languages not covered in Flores-200, LLaMAX still shows significant improvements in translation performance.
  
  🎈 By performing simple SFT on English task data, LLaMAX demonstrates impressive multilingual transfer abilities in downstream tasks.
  
  🎈 In our paper, we discuss effective methods for enhancing the multilingual capabilities of LLMs during the continued training phase.
  
  We welcome you to use our model and provide feedback.
  
  More Details:
  
  🎉  Code:  https://github.com/CONE-MT/LLaMAX/
  
  🎉  Model:   https://huggingface.co/LLaMAX/
reactions.reaction: 👍
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reactions.users: Gutssu Ramikan-BR GPT007 prithivMLmods yoeldcd Joseph717171 osanseviero juancopi81 MikeMpapa
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reactions.users: Symbol-LLM Ramikan-BR GPT007 Joseph717171 ucsahin FilipeR
reactions.reaction: ❤️
reactions.users: ijohn07 Ramikan-BR GPT007 Joseph717171 quyettv osanseviero
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reactions.users: Ramikan-BR GPT007 Joseph717171 louisbrulenaudet
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reactions.users: Ramikan-BR GPT007 Joseph717171 a91479134
reactions.reaction: 🤝
reactions.users: quyettv
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