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README.md

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+
+---
+license: llama2
+language:
+- my
+base_model: meta-llama/Llama-2-7b-hf
+library_name: transformers
+---
+# Llama2 7B for Burmese: 100 target vocabulary size + FOCUS target vocabulary initialization
+
+This model is built on top of Llama2 7B adapted for Burmese 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 FOCUS initialization.
+* **Training**: This model was additionally pre-trained on 30K target language sentences sampled from CC-100.
+
+## Model Description
+
+- **Language:** Burmese
+- **License:** Llama 2 Community License Agreement
+- **Fine-tuned from model:** meta-llama/Llama-2-7b-hf
+
+
+## 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-2-7b-hf-my-30K-focus"
+)
+tokenizer = AutoTokenizer.from_pretrained(
+    "atsuki-yamaguchi/Llama-2-7b-hf-my-30K-focus"
+)
+```
+
+