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OpenLLaMA - AI Language Models Tool

Overview

OpenLLaMA is an open-source reproduction of Meta AI's LLaMA models, offering 3B, 7B, and 13B parameter checkpoints trained on the RedPajama dataset. PyTorch and JAX weights are provided and the project is released under the Apache-2.0 license.

Key Features

  • Open-source reproduction of Meta's LLaMA
  • Available in 3B, 7B, and 13B parameter sizes
  • Trained on the RedPajama dataset
  • Provides both PyTorch and JAX weights
  • Distributed under the Apache-2.0 license
  • Suitable for local research and fine-tuning

Ideal Use Cases

  • Research and analysis of LLaMA-like architectures
  • Fine-tuning for domain-specific tasks
  • Benchmarking against other large language models
  • Local inference and prototype development

Getting Started

  • Visit the GitHub repository
  • Choose desired model size (3B, 7B, or 13B)
  • Download PyTorch or JAX weights from releases
  • Install required dependencies (PyTorch or JAX)
  • Load the model weights in your codebase
  • Run a sample inference to validate installation

Pricing

Open-source release under the Apache-2.0 license; no commercial pricing published.

Key Information

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