tomasmcm / go-bruins-v2

Source: rwitz/go-bruins-v2 ✦ Quant: TheBloke/go-bruins-v2-AWQ ✦ Designed to push the boundaries of NLP applications, offering unparalleled performance in generating human-like text

  • Public
  • 218 runs
  • Paper
  • License
Run with an API
Playground API Examples README Versions

Run time and cost

This model costs approximately $0.0046 to run on Replicate, or 217 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia A40 GPU hardware. Predictions typically complete within 9 seconds. The predict time for this model varies significantly based on the inputs.

Readme

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
  • 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:

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)
  • 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

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_.

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