Llama
Meta's Llama family is the most widely used open-weight model line in the world. A safe, well-understood default with a huge ecosystem, and fully deployable inside the EU on your own or Pryvan's infrastructure.
The most widely adopted open models
Meta
- The de-facto open-weight standard
- Strong general reasoning and instruction following
- Huge tooling and community ecosystem
- Runs entirely on EU-sovereign infrastructure
Available variants
Llama 3.3 70B
Strong, efficient flagship (Max)
Llama 3.1 (8B–70B)
Runs from Core to Max
Llama 4 Scout
Latest MoE, long context & vision (Max)
How it performs
Indicative published results for Llama 3.3 70B Instruct. Scores vary by version, harness and prompt, confirm for the version you deploy.
What you're deploying, in plain English.
Trained on
Trained on a large, publicly described mix of web text, code and curated sources. Details published by Meta per release.
Strengths
- Well-rounded general-purpose performance
- Mature ecosystem and tooling
- Broad multilingual coverage
Limitations & biases
- Subject to Meta's community license terms
- Can hallucinate; verify factual output
- Larger variants need more compute to host
Recommended use cases
- General assistant and drafting
- Knowledge search and RAG
- Internal automation and agents
Prohibited / high-risk
- Use outside the Llama community license terms
- Unreviewed high-risk decision-making
At a glance
- Vendor
- Meta
- Languages
- Broad multilingual coverage
- License
- Open weights (Llama Community License)
- Context
- Long context, varies by version
- Sizes
- Available in multiple parameter sizes
Best for: Teams that want a proven, well-supported general-purpose model.
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