初始化项目，由ModelHub XC社区提供模型

Model: itsliupeng/llama2_7b_mmlu
Source: Original Platform

README.md

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+---
+license: apache-2.0
+datasets:
+- itsliupeng/mmlu_recall
+language:
+- en
+pipeline_tag: text-generation
+---
+
+We are utilizing the [mmlu_recall](https://huggingface.co/datasets/itsliupeng/mmlu_recall) dataset to continuously train the [Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) model, aiming to enhance performance on mmlu metrics, while ensuring that other metric performances remain unaffected.
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_itsliupeng__llama2_7b_mmlu)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 46.31   |
+| ARC (25-shot)         | 56.14          |
+| HellaSwag (10-shot)   | 79.13    |
+| MMLU (5-shot)         | 60.04         |
+| TruthfulQA (0-shot)   | 40.95   |
+| Winogrande (5-shot)   | 74.43   |
+| GSM8K (5-shot)        | 7.88        |
+| DROP (3-shot)         | 5.59         |