Qwen2.5 7B Olm V1.5

🚀 Optimized Layer Merging (OLM)

A transformer optimization framework implementing automated layer recombination to create superior hybrid language models.

🚀 Quick Start

The provided README doesn't contain specific quick - start steps, but you can refer to the official documentation of the transformers library and the source code on GitHub to get started.

✨ Features

• Automated Layer Recombination: OLM takes multiple language models as input and iteratively replaces individual layers to build a fusion model.
• Hybrid Model Creation: It cherry - picks the best - performing layers across different models to create a superior hybrid, like creating "Frankenstein's monster" out of language models.
• Performance - Based Selection: Keeps the best - performing layer at each position based on metrics such as perplexity, exact match, and a custom "quality" score.

📚 Documentation

Model Description

Optimized Layer Merging (OLM) is a transformer optimization framework implementing automated layer recombination.

Olm creates Frankenstein's monster out of language models by cherry - picking the best - performing layers across different models to create a superior hybrid. The core mechanism:

• Takes multiple language models as input.
• Uses a base model as the foundation.
• Iteratively replaces individual layers, evaluating performance on specified datasets.
• Keeps the best - performing layer at each position based on metrics like perplexity, exact match, and a custom "quality" score.
• Builds a fusion model layer - by - layer while maintaining or improving performance.

You can find more details on the GitHub repository.

📄 License

This project is licensed under the Apache - 2.0 license.

📦 Information Table