Update README.md

README.md

@@ -18,6 +18,8 @@ datasets:
 
 This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 1k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) created for [this article](https://huggingface.co/blog/mlabonne/orpo-llama-3).
 
+It's a successful fine-tune that follows the ChatML template!
+
 **Try the demo**: https://huggingface.co/spaces/mlabonne/OrpoLlama-3-8B
 
 ## 🔎 Application
@@ -28,6 +30,8 @@ This model uses a context window of 8k. It was trained with the ChatML template.
 
 ### Nous
 
+OrpoLlama-4-8B outperforms Llama-3-8B-Instruct on the GPT4All and TruthfulQA datasets.
+
 Evaluation performed using [LLM AutoEval](https://github.com/mlabonne/llm-autoeval), see the entire leaderboard [here](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard).
 
 | Model                                                                                                                                                                     |   Average |   AGIEval |   GPT4All | TruthfulQA |  Bigbench |