Meta Llama
From ProWiki - Demo and Test Wiki
| Meta Llama | |
|---|---|
| Developer | Meta AI |
| Type | Large language model |
| Initial release | 2023 |
| Operating system | Cross-platform |
| Written in | Python, C++ |
| License | Llama Community License |
| Website | llama.meta.com |
| Contents | |
Meta Llama is a family of open-weight large language models developed by Meta AI, released for research and commercial use. It is the most widely deployed open-source LLM family.
Key Features
- Open-weight models available for download and self-hosting
- Llama 3 series with models ranging from 8B to 405B parameters
- Strong performance across reasoning, coding, and multilingual tasks
- Fine-tuning support for domain-specific customization
- Available on major cloud platforms (AWS, Azure, Google Cloud) as managed services
- Meta AI assistant powered by Llama in WhatsApp, Messenger, and Instagram
Enterprise Use
Llama is deployed by enterprises that require on-premises AI, want to avoid per-token API costs at scale, or need to fine-tune a model on proprietary data. Common enterprise use cases include document processing, internal chatbots, and code assistance. Cloud providers offer managed Llama deployments on AWS Bedrock, Azure AI, and Google Vertex AI for organizations that prefer not to manage their own infrastructure.
Tips
- Use quantized versions of Llama models (GGUF format) to run smaller models on standard hardware.
- Fine-tuning with LoRA is an efficient approach for adapting Llama to specific domains or styles.
- Review the Llama license — commercial use is permitted but with restrictions for large-scale deployments.
