Cleanup readme

Also added link for ExLlamaV2 quants if you don't mind

README.md

@@ -1,6 +1,7 @@
 ---
 license: apache-2.0
 base_model: mistralai/Mistral-7B-v0.1
+datasets: NeuralNovel/Neural-DPO
 tags:
 - generated_from_trainer
 model-index:
@@ -87,21 +88,21 @@ special_tokens:
 
 </details><br>
 
-# out
+Creator: <a href="https://huggingface.co/NovoCode">NovoCode</a>
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+Community Organization: <a href="https://huggingface.co/ConvexAI">ConvexAI</a>
 
-## Model description
+Discord: <a href="https://discord.gg/rJXGjmxqzS">Join us on Discord</a>
 
-More information needed
+## Model description
 
-## Intended uses & limitations
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on [Neural-DPO](https://huggingface.co/datasets/NeuralNovel/Neural-DPO).
 
-More information needed
+This model should excel at question answering across a rich array of subjects across a wide range of domains such as literature, scientific research, and theoretical inquiries.
 
-## Training and evaluation data
+## ExLlamaV2 Quants
 
-More information needed
+ExLlamaV2 quants are available from [bartowski here](https://huggingface.co/bartowski/Mistral-NeuralDPO-v0.5-exl2)
 
 ## Training procedure
 
@@ -119,10 +120,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 10
 - training_steps: 1602
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.38.0.dev0