OpenLLaMA - AI Language Models Tool

Overview

OpenLLaMA is an open-source reproduction of Meta AI’s LLaMA large language model. It provides 3B, 7B, and 13B parameter models trained on the RedPajama dataset, with PyTorch and JAX weights distributed under the Apache-2.0 license.

Key Features

  • Open-source reproduction of Meta AI’s LLaMA
  • Available model sizes: 3B, 7B, and 13B parameters
  • Trained on the RedPajama dataset
  • Provides both PyTorch and JAX model weights
  • Released under the Apache-2.0 permissive license

Ideal Use Cases

  • Research and model evaluation
  • Fine-tuning and transfer learning experiments
  • On-premise or private inference deployments
  • Prototyping language-model-powered applications
  • Educational use and replication studies

Getting Started

  • Clone the OpenLLaMA GitHub repository
  • Install dependencies for PyTorch or JAX
  • Select a model size: 3B, 7B, or 13B
  • Download and load the corresponding model weights
  • Integrate the loaded model into your application

Pricing

Distributed under the Apache-2.0 license. No pricing or hosted offering is disclosed in the provided repository metadata.

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool