Update README.md

README.md

@@ -126,6 +126,19 @@ Taurus is an [OpenHermes 2.5](https://huggingface.co/teknium/OpenHermes-2.5-Mist
 
 The model was trained for 2 epochs (QLoRA) using [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl). The exact config I used can be found [here](https://huggingface.co/rxavier/Taurus-1.0-Mistral-7B/tree/main/axolotl).
 
+## [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_rxavier__Taurus-7B-1.0)
+
+| Metric |Value|
+|---------------------------------|----:|
+|Avg. |66.40|
+|AI2 Reasoning Challenge (25-Shot)|63.57|
+|HellaSwag (10-Shot) |83.64|
+|MMLU (5-Shot) |63.50|
+|TruthfulQA (0-shot) |50.21|
+|Winogrande (5-shot) |78.14|
+|GSM8k (5-shot) |59.36|
+
 ## Prompt format
 
 Taurus uses **ChatML**.
@@ -173,17 +186,4 @@ print(tokenizer.decode(outputs["sequences"].cpu().tolist()[0]))
 
 ## GGUF quants
 
-You can find GGUF quants for llama.cpp [here](https://huggingface.co/rxavier/Taurus-7B-1.0-GGUF).
-# [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_rxavier__Taurus-7B-1.0)
-
-| Metric |Value|
-|---------------------------------|----:|
-|Avg. |66.40|
-|AI2 Reasoning Challenge (25-Shot)|63.57|
-|HellaSwag (10-Shot) |83.64|
-|MMLU (5-Shot) |63.50|
-|TruthfulQA (0-shot) |50.21|
-|Winogrande (5-shot) |78.14|
-|GSM8k (5-shot) |59.36|
-
+You can find GGUF quants for llama.cpp [here](https://huggingface.co/rxavier/Taurus-7B-1.0-GGUF).