Update README.md

README.md

@@ -5,4 +5,92 @@ datasets:
 language:
 - en
 pipeline_tag: text-generation
----
+---
+# Model Card for Model ID
+
+Basically this is Q-bert/MetaMath-Cybertron-Starling finetuned using DPO on intel/orca-dpo pairs. Think of it like Neural-MetaMath-Cybertron-Starling, except for I wanted to call it Go Bruins to support my school.
+
+
+## Model Details
+
+### Model Description
+
+Trained for 200 steps on DPO intel/orca-dpo pairs using unsloth. Feel free to hit me up at rwitz_ on Discord if you have any concerns about the model / want to give me a thumbs up.
+
+
+
+- **Developed by:** Ryan Witzman
+- **Model type:** Mistral Fine-tune
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model [optional]:** Q-bert/MetaMath-Cybertron-Starling
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Demo [optional]:** Coming Soon!
+
+## Uses
+
+This model CAN AND WILL OUTPUT NSFW AND ILLEGAL CONTENT. USE AT YOUR OWN RISK.
+### Direct Use
+
+Works best in oobabooga in chat-mode. I believe it works best if you load in float16.
+
+
+
+
+### Out-of-Scope Use
+
+Do not use the model for illegal content or harrassing other people. Please be respectful :)
+
+## Bias, Risks, and Limitations
+
+As always, this is an AI model and is not suited to give professional advice or help in times of crisis.
+
+### Recommendations
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+```
+from transformers import pipeline
+
+model_name = "rwitz/go-bruins"
+inference_pipeline = pipeline('text-generation', model=model_name)
+
+input_text = "Your input text goes here"
+
+output = inference_pipeline(input_text)
+
+print(output)
+```
+
+## Training Details
+
+### Training Data
+
+https://huggingface.co/datasets/Intel/orca_dpo_pairs
+
+### Training Procedure 
+
+DPO(Direct Preference Optimization)
+
+
+## Evaluation
+
+Coming Soon! I have found through some tests that this model has improved upon the Q-Bert model, which is currently SOTA for 7B models as of December 8, 2023. I expect this model to achieve higher scores.
+
+
+## Model Card Authors [optional]
+
+Ryan Witzman
+
+## Model Card Contact
+
+rwitz_ on Discord
+
+