teddythinh/vinallama-test

Model Card for VinaLLaMA

Reference:

• https://www.dropbox.com/scl/fi/sy4d78jk4mp8g87y2xwrs/description.pdf
• https://huggingface.co./docs/peft/quicktour

Model Details

Model Description

• Developed by: Teddythinh
• Shared by: AI VIET NAM
• Model type: PEFT
• Language(s) (NLP): Vietnamese
• License:
• Finetuned from model: vilm/vinallama-7b-chat

Model Sources [optional]

• Repository: https://huggingface.co./teddythinh/vinallama-test

Summary

Environmental Impact

Experiments were conducted using the Google Cloud Platform in region asia-east1, which has a carbon efficiency of 0.56 kgCO2eq/kWh. A cumulative of 5 hours of computation was performed on hardware of type T4 (TDP of 70W).

Total emissions are estimated to be 0.2 kgCO2eq of which 100 percent were directly offset by the cloud provider.

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

Framework versions

• PEFT 0.7.2.dev0