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malaysian-feedback-lora

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The 'malaysian-feedback-lora' model is a LoRA adapter from the 'mesolitica/Malaysian-Llama-3.2-3B-Instruct' base model, trained on a synthetic dataset of 500 records primarily in Mandarin Chinese (50%) with its dialects, while preserving the base model's abilities in other Malaysian languages and dialects, specifically in Malay and English.

Model Details

Model Description

  • Developed by: Wong Yoong Yee
  • Model type: LoRA Adapter from Pre-Trained LLM
  • Language(s) (NLP): Malaysian languages and dialects in Chinese, Malay and English
  • Licence: MIT License
  • Finetuned from model: mesolitica/Malaysian-Llama-3.2-3B-Instruct

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Framework versions

  • PEFT 0.13.2
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Model tree for mackwongyy/malaysian-feedback-lora

Base model

mesolitica/Malaysian-Llama-3.2-3B-Instruct
Adapter
(3)
this model

Paper for mackwongyy/malaysian-feedback-lora