Update README.md

README.md

@@ -71,37 +71,47 @@ and include the following:
 dolphin-2.6-mistral-7b-dpo-laser https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
 
 
-Starling-LM-7B-alpha https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha
+Starling-LM-7B-alpha<br>
+https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha
 
 
-Hermes-2-Pro-Mistral-7B https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B
+Hermes-2-Pro-Mistral-7B<br>
+https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B
 
 
-NeuralHermes-2.5-Mistral-7B-laser https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B-laser
+NeuralHermes-2.5-Mistral-7B-laser<br>
+https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B-laser
 
 
-Mistral-7B-Erebus-v3 https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3
+Mistral-7B-Erebus-v3<br>
+https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3
 
 
-Mistral-7B-Holodeck-1 https://huggingface.co/KoboldAI/Mistral-7B-Holodeck-1
+Mistral-7B-Holodeck-1<br>
+https://huggingface.co/KoboldAI/Mistral-7B-Holodeck-1
 
 
-openchat_35-16k https://huggingface.co/NurtureAI/openchat_3.5-16k
+openchat_35-16k<br>
+https://huggingface.co/NurtureAI/openchat_3.5-16k
 
 
-cockatrice-7b-v0.2 https://huggingface.co/openerotica/cockatrice-7b-v0.2
+cockatrice-7b-v0.2<br>
+https://huggingface.co/openerotica/cockatrice-7b-v0.2
 
 
 Adapters Used to (effectively) Decensor High Performance Models:
 
 
-Mistral-7B-small_pippa_limaRP-v3-lora https://huggingface.co/Undi95/Mistral-7B-small_pippa_limaRP-v3-lora
+Mistral-7B-small_pippa_limaRP-v3-lora<br>
+https://huggingface.co/Undi95/Mistral-7B-small_pippa_limaRP-v3-lora
 
 
-LimaRP-Mistral-7B-v0.1 https://huggingface.co/lemonilia/LimaRP-Mistral-7B-v0.1
+LimaRP-Mistral-7B-v0.1<br>
+https://huggingface.co/lemonilia/LimaRP-Mistral-7B-v0.1
 
 
-Mistral-7B-smoll_pippa-lora https://huggingface.co/Undi95/Mistral-7B-smoll_pippa-lora
+Mistral-7B-smoll_pippa-lora<br>
+https://huggingface.co/Undi95/Mistral-7B-smoll_pippa-lora
 
 
 Thanks to Mistral AI for the amazing Mistral LM - and also thanks to Meta for LLaMAv2.