初始化项目，由ModelHub XC社区提供模型

Model: Q-bert/Optimus-7B
Source: Original Platform

README.md

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+---
+license: apache-2.0
+datasets:
+- meta-math/MetaMathQA
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- Math
+base_model:
+- mistralai/Mistral-7B-v0.1
+---
+
+## Optimus-7B
+
+<img src="_c3f4a76b-c0b1-4fba-9537-33f8fd697f2d.jpg" width="300" height="200" alt="Optimus-7B">
+
+Fine-tuned On [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) with [meta-math/MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA)
+
+You can use ChatML format.
+
+# [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/results/blob/main/Q-bert/Optimus-7B/results_2023-12-04T18-59-49.207215.json)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 69.09               |
+| ARC (25-shot)         | 65.44               |
+| HellaSwag (10-shot)   | 85.41               |
+| MMLU (5-shot)         | 63.61               |
+| TruthfulQA (0-shot)   | 55.79               |
+| Winogrande (5-shot)   | 78.77               |
+| GSM8K (5-shot)        | 65.50               |