orca-mini

A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.

52.1K Pulls Updated 4 months ago

Orca Mini is a Llama and Llama 2 model trained on Orca Style datasets created using the approaches defined in the paper, Orca: Progressive Learning from Complex Explanation Traces of GPT-4. There are two variations available. The original Orca Mini based on Llama in 3, 7, and 13 billion parameter sizes, and v3 based on Llama 2 in 7, 13, and 70 billion parameter sizes.

Usage

CLI

Open the terminal and run ollama run orca-mini

API

Example:

  curl -X POST http://localhost:11434/api/generate -d '{
    "model": "orca-mini",
    "prompt":"Why is the sky blue?"
   }'

Memory requirements

  • 7b models generally require at least 8GB of RAM
  • 13b models generally require at least 16GB of RAM
  • 70b models generally require at least 64GB of RAM

Reference

3b parameters original source: Pankaj Mathur

7b parameters original source: Pankaj Mathur

13b parameters original source: Pankaj Mathur

Orca Mini v3 source on Ollama

13b parameters original source: Pankaj Mathur

70b parameters source: Pankaj Mathur

Orca: Progressive Learning from Complex Explanation Traces of GPT-4