Update README.md

README.md

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 ![image/png](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B/resolve/main/assets/dpopenhermes.png)
 
 ## Laser Config
+
+[**Lasered with AIDOcks**](https://github.com/l4b4r4b4b4/AIDocks)
 top_k_layers: 32
 datasets: wikitext2, ptb, c4
 
 ## OpenHermes x Notus x Neural
 
-[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
 
 This is a second RL fine tuned model of [Teknium](https://huggingface.co/teknium)'s [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) using the [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) and [allenai/ultrafeedback_binarized_cleaned](https://huggingface.co/datasets/allenai/ultrafeedback_binarized_cleaned) preference datasets for reinforcement learning using Direct Preference Optimization (DPO)