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Llama is a family of open-source language models from Meta (Facebook) that has democratized access to powerful AI. Llama 4 Maverick, with 400 billion parameters, competes with the best closed-source models while remaining completely free.
Llama 4 uses a Mixture-of-Experts architecture with 128 experts and 17 billion active parameters per query. The model was trained on 22 trillion tokens and supports a context window of up to 1 million tokens. It can be run locally via Ollama, vLLM, and other frameworks.
Llama is available through numerous providers: Together AI, Fireworks, Groq, Amazon Bedrock, and more. Pricing starts at $0.27 per million tokens. The model supports multimodal input (text + images), function calling, and fine-tuning.
Llama is ideal for companies and developers who want full control over their AI model: local deployment, fine-tuning on proprietary data, and no vendor lock-in. It serves as the foundation for thousands of commercial and research projects.
Open weights and documentation — run locally, fine-tune, and modify freely
400B parameters with 17B active — large model power at small model cost
1 million token context window for working with books and codebases
Available via Together AI, Groq, Fireworks, AWS Bedrock, and dozens more
Fine-tune on your own data for specialized tasks
Run on your own hardware via Ollama, vLLM, llama.cpp
Data: ai-stat.ru · 2026-03-27
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