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library_name: peft

AlpaGo: GPT-NeoX-20B Model Trained with Qlora Technique

AlpaGo is an adapter model trained using the Qlora technique on top of the GPT-NeoX-20B model. This repository contains the code and resources for AlpaGo, which can be used for natural language processing tasks. AlpaGo is built on the GPT-NeoX-20B architecture and developed by Math And AI Institute.

Features

  • AlpaGo adapter model trained with the Qlora technique
  • Based on the GPT-NeoX-20 model, providing high-quality natural language processing capabilities on Engilish Language

Installation

  1. Clone the AlpaGo repository:
!git clone https://github.com/exampleuser/alphago.git

  1. Install the latest version of Python 3 if you haven't already.

  2. Install the required dependencies:

!pip install -r requirements.txt

Usage

You can utilize AlpaGo to perform natural language processing tasks. Here's an example of how to use it:

from alphago import AlpaGo

# Load the AlpaGo model
model = AlpaGo()

# Example input sentence
input_text = "Hello, AlpaGo!"

# Send the sentence to the model and get the results
output = model.process_text(input_text)

# Print the output
print(output)```