Update README.md

README.md

@@ -164,9 +164,13 @@ print(tokenizer.decode(outputs[0]))
 ```
 
 You can also use the model in llama.cpp through the [gguf version](https://huggingface.co/SultanR/SmolTulu-1.7b-Instruct-GGUF)!
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 # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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 Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_SultanR__SmolTulu-1.7b-Instruct)
 
+To give a more holistic overview, I also added the Open LLM Leaderboard results, which differ a lot from the script that was used to benchmark SmolLM2-Instruct.
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 |      Metric       |Value|
 |-------------------|----:|
 |Avg.               |15.45|