Update README.md

README.md

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 license: other
+language:
+- en
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+## Model Details
+This is an unofficial implementation of "[AlpaGasus: Training a better Alpaca with Fewer Data.](https://github.com/Lichang-Chen/AlpaGasus)" with [LLaMA2](https://huggingface.co/meta-llama/Llama-2-13b-hf) & QLoRA! Training code is available at our [repo](https://github.com/gauss5930/AlpaGasus2-QLoRA). 
+
+- **Developed by:** [Yunsang Yoo](https://huggingface.co/ryan0712) and [Hyunwoo Ko](https://huggingface.co/Cartinoe5930)
+- **Model type:** Auto-regressive model
+- **Language(s):** English
+- **Base Model:** [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf)
+- **License**: Non-Commercial Creative Commons license ([CC BY-NC-4.0](https://creativecommons.org/licenses/by-nc/4.0/))
+
+
+
+### Benchmark Metrics
+| Metric                | Value |
+|-----------------------|-------|
+| MMLU                  | 55.27 |
+| ARC                   | 61.09 |
+| HellaSwag             | 82.46 |
+| TruthfulQA            | 38.53 |
+| Avg.                  | 59.34 |
+
+### Training Dataset
+
+"StudentLLM/Alpagasus-2-13b-QLoRA-merged" used [gpt4life](https://github.com/gpt4life/alpagasus)'s gpt-3.5-turbo filtered dataset, 'alpaca_t45.json'.
+Configuration of the dataset is as follows:
+
+### Prompt Template
+```
+### Instruction:
+
+<prompt> (without the <>)
+
+### Response:
+```