Llama3-8b-Naija_v1 / README.md
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metadata
library_name: transformers
license: llama3
datasets:
  - saheedniyi/Nairaland_v1_instruct_512QA
language:
  - en
pipeline_tag: text-generation

Model Card for Model ID

Excited to announce the release of Llama3-8b-Naija_v1 a finetuned version of Meta-Llama-3-8B trained on a Question - Answer dataset from Nairaland. Llama3-8b-Naija_v1 is developed using QLora Fine-tuning with a rank of 64 and Alpha of 128. The model was built in an attempt to "Nigerialize" Llama-3, giving it a Nigerian - like behavior. The model was trained on Google colab and it took about 12 hrs on the A100 GPU.

Model Details

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

  • Developed by: Saheedniyi
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  • Language(s) (NLP): English, Pidgin English
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  • Finetuned from model [optional]: meta-llama/Meta-Llama-3-8B

Model Sources [optional]

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Uses

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

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Training Hyperparameters

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Evaluation

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Results

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Summary

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Environmental Impact

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

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Technical Specifications [optional]

Model Architecture and Objective

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