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metadata
license: llama3
language:
  - si
base_model: meta-llama/Meta-Llama-3-8B
library_name: transformers

Llama3 8B for Sinhala: 100 target vocabulary size + Mean target vocabulary initialization + 2x2LS/MTP/512 training

This model is built on top of Llama3 8B adapted for Sinhala using 30K target language sentences sampled from CC-100.

Model Details

  • Vocabulary: This model has an additional 100 target vocabulary.
  • Target vocabulary initialization: The target weights of the embedding and LM head were initialized using Mean initialization.
  • Training: This model was additionally pre-trained on 30K target language sentences sampled from CC-100. The training was conducted with the 2x2LS/MTP/512 strategies introduced in the paper.

Model Description

  • Language: Sinhala
  • License: Llama 3 Community License Agreement
  • Fine-tuned from model: meta-llama/Meta-Llama-3-8B

Model Sources

How to Get Started with the Model

Use the code below to get started with the model.

from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained(
    "atsuki-yamaguchi/Llama-3-8B-si-30K-100-mean"
)
tokenizer = AutoTokenizer.from_pretrained(
    "atsuki-yamaguchi/Llama-3-8B-si-30K-100-mean"
)