Llama 2

Llama 2 is Meta’s open-source large language model family released for research and commercial use. Unlike many closed models, Llama 2 offers transparent access to model weights, multiple sizes, and flexible licensing, allowing organizations to deploy on their own infrastructure, fine-tune on private data, and integrate it deeply into products and workflows.

Llama 2 is available under a custom license from Meta that allows many commercial use cases, subject to specific terms and conditions. Some high-scale or sensitive scenarios may require additional approval. Always review the official license and usage guidelines on the Llama website or consult your legal team before deploying in production.

You can deploy Llama 2 on cloud GPUs, on-premise servers, or even powerful workstations, depending on the chosen model size. Smaller variants can run on a single GPU, while larger ones require more memory and compute. Many open-source libraries and inference frameworks support Llama 2, making it easier to integrate with your existing stack.

Yes. Llama 2 is designed to be fine-tuned on domain-specific or proprietary datasets so you can adapt the model to your tasks, terminology, and safety policies. You can run supervised fine-tuning, instruction tuning, or lightweight methods like LoRA using common deep learning frameworks and community tooling.

Llama 2 is trained with safety-focused alignment techniques and evaluated against safety benchmarks to reduce harmful, biased, or inappropriate outputs. However, no model is perfectly safe. You should implement your own content filters, human review, and policy enforcement when building production applications.