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

@@ -79,4 +79,17 @@ A small 81M param (total) decoder model, enabled through tying the input/output
 - slightly larger 101M param GQA pretrained version: [here](https://huggingface.co/BEE-spoke-data/smol_llama-101M-GQA)
 - For the chat version of this model, please [see here](https://youtu.be/dQw4w9WgXcQ?si=3ePIqrY1dw94KMu4)
 
----
+---
+# [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_BEE-spoke-data__smol_llama-81M-tied)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 24.52   |
+| ARC (25-shot)         | 22.18          |
+| HellaSwag (10-shot)   | 29.33    |
+| MMLU (5-shot)         | 24.06         |
+| TruthfulQA (0-shot)   | 43.97   |
+| Winogrande (5-shot)   | 49.25   |
+| GSM8K (5-shot)        | 0.23        |
+| DROP (3-shot)         | 2.64         |