Text Generation
English
mistral
bruins
starling
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Go Bruins V2 11B - A Fine-tuned Language Model Given More Headroom

Updates

Overview

Go Bruins-V2 is a language model fine-tuned on the rwitz/go-bruins architecture by rwitz. It's designed to push the boundaries of NLP applications, offering unparalleled performance in generating human-like text. This is the 11b version, which in theory should help improve overall quality.

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:

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, Go Bruins V2 has shown promising improvements over its predecessor, Go Bruins.

Evaluations

PENDING

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

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Inference Examples
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Datasets used to train Delcos/go-bruins-v2-11b