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Openelm 450M Instruct

Developed by apple
OpenELM is a set of open-source efficient language models that employ a hierarchical scaling strategy to optimize parameter allocation, including pre-trained and instruction-tuned versions ranging from 270 million to 3 billion parameters.
Downloads 114.41k
Release Time : 4/12/2024

Model Overview

The OpenELM series enhances Transformer model efficiency through a hierarchical scaling strategy, offering versions with parameters ranging from 270 million to 3 billion, suitable for various natural language processing tasks.

Model Features

Hierarchical Scaling Strategy
Intelligently allocates parameters across Transformer layers, significantly improving model efficiency.
Complete Open-Source Framework
Provides an end-to-end toolchain from data preparation to evaluation, promoting open research.
Multiple Size Options
Offers models with parameters ranging from 270 million to 3 billion to meet diverse needs.

Model Capabilities

Text Generation
Instruction Following
Zero-Shot Learning

Use Cases

Content Creation
Story Continuation
Automatically generates coherent story content based on a given beginning.
An example demonstrates the continuation ability starting with 'Once upon a time there was a mountain'.
Research & Development
Language Model Research
Can serve as a baseline model for research on efficient model architectures.
Technical reports include comparative data with other models.
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