Meta Llama (Open Source)
Definition
Meta's open-weight model family (Llama 3, Llama 4) available for anyone to deploy, fine-tune, and customize. No built-in tool governance, no execution control, and no safety infrastructure for function calls. The most widely-used open-source model family, deployed on vLLM, Ollama, TGI, and custom infrastructure.
Why It Matters
Open-source models ship with zero execution governance. Commercial models have at least content safety filters; Llama has nothing. Self-hosted deployments run with whatever guardrails the developer adds — which is typically none. This makes Llama deployments the most governance-exposed AI systems in production.
How Exogram Addresses This
Exogram is the governance layer that open-source models completely lack. Self-hosted Llama deployments have zero native execution boundaries. Exogram provides the same 0.07ms deterministic enforcement regardless of model or deployment method.
Is Meta Llama (Open Source) vulnerable to execution drift?
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Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees