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Orca Mini 3b

Developed by pankajmathur
orca_mini_3b is a text generation model trained on the OpenLLaMa-3B model, utilizing instructions and inputs from the WizardLM, Alpaca, and Dolly-V2 datasets for explanatory fine-tuning, and applying the dataset construction methods from the Orca research paper.
Downloads 4,232
Release Time : 6/22/2023

Model Overview

This model is a 3B-parameter text generation model trained through explanatory fine-tuning methods, capable of generating high-quality text responses. It is particularly suitable for application scenarios that require understanding complex instructions and generating detailed explanations.

Model Features

Explanatory fine-tuning
Utilizes methods from the Orca research paper to generate custom datasets through systematic instructions, enabling the model to learn the thought process.
Multi-dataset training
Combines the WizardLM, Alpaca, and Dolly-V2 datasets, providing a rich variety of instruction and input samples.
Efficient training
Uses DeepSpeed and ZeRO Stage 3 optimization, completing training in just 4 hours on 8 A100 GPUs.

Model Capabilities

Text generation
Instruction understanding
Explanatory response generation

Use Cases

Education
Teaching assistance
Generates detailed explanations and examples to help students understand complex concepts.
Content creation
Article generation
Generates high-quality articles or paragraphs based on instructions.
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