Update README.md

README.md

@@ -15,12 +15,14 @@ pipeline_tag: text-generation
 
 ## OpenHermes x Notus x Neural
 
-This is an RL fine tuned OpenHermes using the Intel/orca_dpo_pairs and argilla/ultrafeedback-binarized-preferences preference datasets for reinforcement learning using Direct Preference Optimization (DPO)
+This is an RL fine tuned [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 [argilla/ultrafeedback-binarized-preferences](https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences) preference datasets for reinforcement learning using Direct Preference Optimization (DPO)
 
 DPOpenHermes is trained using qLoRA. The adapter is also provided in this model repo.
 
 # Training Details
 
+[<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)
+
 DPOpenHermes was trained on a single H100 80GB hosted on RunPod for ~10h for 0.6 epochs of the dataset.
 
 https://wandb.ai/oaaic/openhermes-dpo/reports/DPOpenHermes--Vmlldzo2MTQ3NDg2