Update README.md

README.md

@@ -24,16 +24,3 @@ GGML quants available [here](https://huggingface.co/TheBloke/Puma-3b-GGML).</br>
 GPTQ quants available [here](https://huggingface.co/TheBloke/Puma-3b-GPTQ).
 
 Note: Don't expect this model to be good, I was just starting out to finetune. So don't roast me please!
-# [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_acrastt__Puma-3B)
-
-| Metric                | Value                     |
-|-----------------------|---------------------------|
-| Avg.                  | 35.93   |
-| ARC (25-shot)         | 41.3          |
-| HellaSwag (10-shot)   | 71.85    |
-| MMLU (5-shot)         | 27.51         |
-| TruthfulQA (0-shot)   | 38.34   |
-| Winogrande (5-shot)   | 66.38   |
-| GSM8K (5-shot)        | 0.76        |
-| DROP (3-shot)         | 5.38         |