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README.md

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+---
+license: cc-by-nc-4.0
+datasets:
+- Intel/orca_dpo_pairs
+- athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW
+language:
+- en
+pipeline_tag: text-generation
+---
+
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63a259d0f30c46422789d38d/tmdM1fjNAmzV125zWd3_J.png)
+
+# Go Bruins V2 - A Fine-tuned Language Model
+
+## Updates 
+
+## Overview
+
+**Go Bruins-V2** is a language model fine-tuned on the rwitz/go-bruins architecture. It's designed to push the boundaries of NLP applications, offering unparalleled performance in generating human-like text.
+
+## Model Details
+
+- **Developer:** Ryan Witzman
+- **Base Model:** [rwitz/go-bruins](https://huggingface.co/rwitz/go-bruins)
+- **Fine-tuning Method:** Direct Preference Optimization (DPO)
+- **Training Steps:** 642
+- **Language:** English
+- **License:** MIT
+
+## Capabilities
+
+Go Bruins excels in a variety of NLP tasks, including but not limited to:
+- Text generation
+- Language understanding
+- Sentiment analysis
+
+## Usage
+
+**Warning:** This model may output NSFW or illegal content. Use with caution and at your own risk.
+
+### For Direct Use:
+
+```python
+from transformers import pipeline
+
+model_name = "rwitz/go-bruins-v2"
+inference_pipeline = pipeline('text-generation', model=model_name)
+
+input_text = "Your input text goes here"
+output = inference_pipeline(input_text)
+
+print(output)
+```
+
+
+### Not Recommended For:
+
+- Illegal activities
+- Harassment
+- Professional advice or crisis situations
+
+## Training and Evaluation
+
+Trained on a dataset from [athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW](https://huggingface.co/datasets/athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW), Go Bruins V2 has shown promising improvements over its predecessor, Go Bruins.
+
+# Evaluations
+
+| Metric        | Average | Arc Challenge | Hella Swag | MMLU | Truthful Q&A | Winogrande | GSM8k |
+|---------------|---------|---------------|------------|------|--------------|------------|-------|
+| **Score**     | 72.07    | 69.8        | 87.05|  64.75      | 59.7     | 81.45  | 69.67 |
+
+Note: The original MMLU evaluation has been corrected to include 5-shot data rather than 1-shot data.
+## Contact
+
+For any inquiries or feedback, reach out to Ryan Witzman on Discord: `rwitz_`.
+
+---
+## Citations
+```
+@misc{unacybertron7b,
+  title={Cybertron: Uniform Neural Alignment}, 
+  author={Xavier Murias},
+  year={2023},
+  publisher = {HuggingFace},
+  journal = {HuggingFace repository},
+  howpublished = {\url{https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16}},
+}
+```
+
+*This model card was created with care by Ryan Witzman.*
+rewrite this model card for new version called go-bruins-v2 that is finetuned on dpo on the original go-bruins model on athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW