Open Llama | Awesome Repository

Open Llama is an open source large language model and pre-trained transformer designed as a permissively licensed alternative to proprietary weights. It serves as a base model reproduction of the Llama architecture, providing a set of weights for a decoder-only transformer.

The project provides a transparently trained model based on the RedPajama dataset, supporting unrestricted commercial and research use. It includes systems for serving pre-trained weights in various sizes.

The project covers natural language processing research and performance benchmarking through text quality evaluation harnesses. It is designed for integration with deep learning frameworks and research pipelines.

Features

Transformer Architecture Implementation - Provides a complete implementation of the Llama architecture as a permissively licensed alternative to proprietary weights.
Large Language Models - Ships a pre-trained base model designed for downstream research and fine-tuning applications.
Transformer Architectures - Implements a transformer-based architecture using stacked self-attention layers and feed-forward networks.
Natural Language Processing - Serves as a reproducible baseline for developing and testing new natural language processing techniques.

Features

Transformer Architecture Implementation - Provides a complete implementation of the Llama architecture as a permissively licensed alternative to proprietary weights.
Large Language Models - Ships a pre-trained base model designed for downstream research and fine-tuning applications.
Transformer Architectures - Implements a transformer-based architecture using stacked self-attention layers and feed-forward networks.
Natural Language Processing - Serves as a reproducible baseline for developing and testing new natural language processing techniques.