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---
library_name: peft
base_model: vilm/vinallama-7b-chat
language:
- vi
- en
datasets:
- alespalla/chatbot_instruction_prompts
---
# 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](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
### Framework versions
- PEFT 0.7.2.dev0 |