Update README.md

README.md

@@ -14,6 +14,8 @@ pipeline_tag: text-generation
 
 This model is fine tuned over gutenberg datasets using kto strategy. It's my first time to use kto strategy, and I'm not sure how the model actually performs.
 
+Compared to those large companies which remove accessories such as charger and cables from packages, I have achieved **real** environment protection by **truly** reducing energy consumption, rather than shifting costs to consumers.
+
 Checkout GGUF here: [Orion-zhen/Qwen2.5-7B-Gutenberg-KTO-Q6_K-GGUF](https://huggingface.co/Orion-zhen/Qwen2.5-7B-Gutenberg-KTO-Q6_K-GGUF)
 
 ## Details
@@ -39,8 +41,6 @@ To practice the **eco-friendly training**, I utilized various methods, including
 - batch size: 1
 - KTO perf beta: 0.1
 
-Compared to those large companies which remove accessories such as charger and cables from packages, I have achieved **real** environment protection by **truly** reducing energy consumption, rather than shifting costs to consumers.
-
 ### Train log
 
 ![training_loss](./training_loss.png)