Adding Evaluation Results

This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

README.md

@@ -233,3 +233,17 @@ This is the **Full-Weight** of WizardLM-13B V1.1 model.
 - 🔥🔥🔥 [7/7/2023] The **WizardLM-13B-V1.1** achieves **6.74** on [MT-Bench Leaderboard](https://chat.lmsys.org/?leaderboard), **86.32%** on [AlpacaEval Leaderboard](https://tatsu-lab.github.io/alpaca_eval/), and **99.3%** on [WizardLM Eval](https://github.com/nlpxucan/WizardLM/blob/main/WizardLM/data/WizardLM_testset.jsonl). (Note: MT-Bench and AlpacaEval are all self-test, will push update and request review. All tests are completed under their official settings.)
 
 
+
+# [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_TheBloke__WizardLM-13B-V1-1-SuperHOT-8K-GPTQ)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 48.79   |
+| ARC (25-shot)         | 57.0          |
+| HellaSwag (10-shot)   | 80.32    |
+| MMLU (5-shot)         | 47.08         |
+| TruthfulQA (0-shot)   | 53.46   |
+| Winogrande (5-shot)   | 74.35   |
+| GSM8K (5-shot)        | 0.68        |
+| DROP (3-shot)         | 28.62         |