Meta Llama
Llama is Meta's family of open-weight language models — the backbone of the open-source AI ecosystem, deployable locally or on any cloud. Available in multiple sizes from lightweight to frontier-class, Llama models power countless fine-tuned derivatives and give organizations full control over their AI stack.
Overview
"Meta Llama" is a "Open Source" resource curated by AI Resource Hub, filed under the Open-Source Tools category and suited to Intermediate-level learners. It is provided by Meta, was last updated on 2026-07-24, and holds an editorial score of 4.7/5 from our team. Click "Visit Resource" on the right to open the original page.
Our Verdict
Llama is the reference point of the open-weight world: if a capability exists in an open model, it probably started here or was proven here first. The license permits most commercial uses, the model zoo spans edge-friendly to frontier-class sizes, and the fine-tuned ecosystem means you rarely start from scratch. You trade some benchmark lead against closed leaders and accept responsibility for your own safety tuning — in exchange for control no hosted API can offer.
Tags
Key Features
- ▹Open-weight models from small to frontier scale
- ▹Runs everywhere: Ollama, llama.cpp, vLLM, clouds
- ▹Huge fine-tune and tooling ecosystem
Pros
- +Full control and data privacy via self-hosting
- +The de facto base for open-model innovation
- +Quantized GGUF builds run on ordinary laptops, not just servers
Cons
- −License has usage terms — not fully OSI-open
- −Smaller Llama models trail frontier closed models on hard reasoning
- −You host, tune, and maintain it yourself — no managed convenience
FAQ
Details
- Pricing
- Free open weights under the Llama license
- Author
- Meta
- Editorial score
- ★ 4.7 / 5
- Last updated
- Jul 24, 2026