Update README.md

README.md

@@ -154,10 +154,12 @@ If we try to replicate OpenLLM Leaderboard results on available Serbian datasets
 |         | ARC   | Hellaswag | Winogrande | TruthfulQA | Avg.  |
 |---------|-------|-----------|------------|------------|-------|
 | Tito-7B | 47.27 |     -     |   69.93    |  **57.48** | 58.23 |
-| YugoGPT | 44.03 |     -     |   70.64    |    48.06   | 54.24 |
 | [Perucac-7B](https://huggingface.co/Stopwolf/Perucac-7B-slerp)  | **49.74** |   -   | **71.98** | 56.03 | **59.25** |
-| Llama3-8B | 42.24 |    -    |   61.25    |     51.08  | 51.52 |
+| YugoGPT | 44.03 |     -     |   70.64    |    48.06   | 54.24 |
+| Llama3-8B | 42.24 |    -    |   61.25    |    51.08   | 51.52 |
+| SambaLingo | 37.88 |   -    |   61.48    |    47.23   | 48.86 |
 
+Note that YugoGPT, Llama3 and SambaLingo are all base models, unlike Tito and Perucac.
 
 # [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_Stopwolf__Tito-7B-slerp)