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vinallama-test
teddythinh/vinallama-test
vinallama-test is a machine learning model from teddythinh. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
All-time downloads
235
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Repo size
160 MB
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Repo makeup
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.safetensors160 MB · 100%
At a glance
- Library
- peft
- Access
- Public
- Created
- Jan 8, 2024
- Updated
- Jan 8, 2024
- SHA
- 474dbdfc
Base models
Model card
From the Hugging Face model README
Model Card for VinaLLaMA
<!-- Provide a quick summary of what the model is/does. -->Reference:
- https://www.dropbox.com/scl/fi/sy4d78jk4mp8g87y2xwrs/description.pdf
- https://huggingface.co/docs/peft/quicktour
Model Details
Model Description
<!-- Provide a longer summary of what this model is. -->- 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]
<!-- Provide the basic links for the model. -->- 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
- Library
- peft
- Languages
- vi, en
- Created
- Jan 8, 2024
- Updated
- Jan 8, 2024