Llama
Skills for Meta's open-source Llama models. Best for self-hosting, multimodal AI, privacy-focused applications, and cost-effective deployment at scale.
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Meta’s Llama is the most widely deployed open-source AI model family. Llama 4 introduced mixture-of-experts architecture and native multimodal capabilities, with Scout offering an unprecedented 10M token context window. Fully open-weight and free to use, Llama powers everything from personal projects to national AI initiatives.
Key Strengths:
- Fully open-weight with no API costs or vendor lock-in
- 10M token context window (Scout) — process massive codebases and archives
- Native multimodal understanding of text, images, and video
- Trained on 200+ languages for global applications
- Fine-tunable for domain-specific needs
- Self-hostable for complete data control
- Adopted by nations for sovereign AI initiatives (France, India, UAE)
Best For: Self-hosted deployments, privacy-sensitive applications, custom fine-tuning, multilingual projects, enterprise AI at scale, and developers building AI-powered products.
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