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README.md

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+---
+license: mit
+datasets:
+- Intel/orca_dpo_pairs
+language:
+- en
+pipeline_tag: text-generation
+---
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63a259d0f30c46422789d38d/vO3iATjO8ulfcakTltE4k.png)
+
+# Go Bruins - A Fine-tuned Language Model
+
+## Updates 
+December 9, 2023:
+Go-Bruins has placed **#6** overall and **#1** for 7 billion parameter models on the [Hugging Face Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)!
+## Overview
+
+**Go Bruins** is a state-of-the-art language model fine-tuned on the Q-bert/MetaMath-Cybertron-Starling 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:** [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling)
+- **Fine-tuning Method:** Direct Preference Optimization (DPO)
+- **Training Steps:** 200
+- **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"
+inference_pipeline = pipeline('text-generation', model=model_name)
+
+input_text = "Your input text goes here"
+output = inference_pipeline(input_text)
+
+print(output)
+```
+
+GGUF Quantized Files are Located at [NyxKrage/go-bruins-GGUF](https://huggingface.co/NyxKrage/go-bruins-GGUF)
+
+### Not Recommended For:
+
+- Illegal activities
+- Harassment
+- Professional advice or crisis situations
+
+## Training and Evaluation
+
+Trained on a dataset from [Intel/orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs), Go Bruins has shown promising improvements over its predecessor, Q-Bert.
+
+# Evaluations
+Go-Bruins is the SOTA 7B model.
+| Metric        | Average | Arc Challenge | Hella Swag | MMLU | Truthful Q&A | Winogrande | GSM8k |
+|---------------|---------|---------------|------------|------|--------------|------------|-------|
+| **Score**     | 71.86    | 69.11         | 86.53| 65.02 | 59.24        | 81.37      | 69.90  |
+
+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_`.
+
+---
+
+*This model card was created with care by Ryan Witzman.*

config.json

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+{
+  "_name_or_path": "go-bruins",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.35.2"
+}

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