README.md

---
license: llama3
language:
- te
base_model: meta-llama/Meta-Llama-3-8B
library_name: transformers
---
# Llama3 8B for Telugu: 1000 target vocabulary size + Mean target vocabulary initialization + T&B2LS/MTP/512 training

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

## Model Details

* **Vocabulary**: This model has an additional 1000 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 T&B2LS/MTP/512 strategies introduced in the paper.

## Model Description

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


## Model Sources

- **Repository:** https://github.com/gucci-j/lowres-cve
- **Paper:** https://arxiv.org/abs/2406.11477

## How to Get Started with the Model
Use the code below to get started with the model.
```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained(
    "atsuki-yamaguchi/Llama-3-8B-te-30K-1000-mean"
)
tokenizer = AutoTokenizer.from_pretrained(
    "atsuki-yamaguchi/Llama-3-8B-te-30K-1000-mean"
)
```