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. The model was built in an attempt to "Nigerialize" Llama-3, giving it a Nigerian - like behavior.

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
Language(s) (NLP): English, Pidgin English
License: META LLAMA 3 COMMUNITY LICENSE AGREEMENT
Finetuned from model [optional]: meta-llama/Meta-Llama-3-8B

Model Sources

Repository
Demo: Colab Notebook

How to Get Started with the Model

Use the code below to get started with the model.

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("your-huggingface-username/llama3-nigeria")
model = AutoModelForCausalLM.from_pretrained("your-huggingface-username/llama3-nigeria")

input_text = "What's the latest news on Nairaland?"
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))