Update README.md

README.md

@@ -9,6 +9,7 @@ tags:
 license: cc-by-nc-sa-4.0
 language:
 - jp
+Training Dataset: Ichikara Instruction (LLM-jp)
 ---
 
 
@@ -17,7 +18,22 @@ language:
 - **Developed by:** taka-too
 - **License:** CC-BY-NC-SA-4.0
 - **Finetuned from model :** llm-jp/llm-jp-3-13b
+- **Training Dataset:** Ichikara Instruction (LLM-jp)
+
+This LLaMA-based model has been fine-tuned for enhanced instruction-following capabilities using the Ichikara Instruction dataset provided by LLM-jp, 
+which was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+関根聡, 安藤まや, 後藤美知子, 鈴木久美, 河原大輔, 井之上直也, 乾健太郎. ichikara-instruction: LLMのための日本語インストラクションデータの構築. 言語処理学会第30回年次大会(2024)
+
+# How to Use the Model
+
+You can load the model via the Hugging Face transformers library:
+'''python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("taka-too/llm-jp-3-13b-it")
+model = AutoModelForCausalLM.from_pretrained("taka-too/llm-jp-3-13b-it")
+'''
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)