Meta Llama 3 Release: Checklist for Chaos Users

Category: News · Stage: Adoption

By Max Beech, Head of Content

Updated 2 August 2025 · Expert review: [PLACEHOLDER: ML Lead]

Why it matters: Meta released Llama 3 with 8B and 70B parameter models plus safety updates in April 2024.^[1]^ Chaos users can now evaluate whether to run it on-prem or via managed endpoints.

      - What did Meta release?

      - How should Chaos teams evaluate Llama 3?

      - How to integrate Llama 3 securely?

    

  
  
    

TL;DR

      - Test Llama 3 against your workloads and safety policies.

      - Track evaluation results in the [experiment review template](/blog/ai-experiment-review-template).

      - Update the [data hygiene checklist](/blog/ai-data-hygiene-checklist) for new hosting environments.

    

  
  
    
      
        
          Model
          Deployment
          Chaos action
        
      
      
        
          Llama 3 8B
          Edge / laptop
          Prototype summaries, classify captures
        
        
          Llama 3 70B
          GPU cluster / managed API
          Agentic workflows, complex planning
        
      
    
    Different Llama 3 sizes suit different Chaos workloads.
  
  

What did Meta release?

Meta published Llama 3 weights, tokenizer, and safety guardrails under a permissive community license.^[1]^

How should Chaos teams evaluate Llama 3?

Run benchmarks against existing models, track accuracy, latency, and cost. Log results in the experiment review template and compare to existing agents.

How to integrate Llama 3 securely?

Update safety filters, data retention policies, and monitoring. The Open Source Initiative stresses responsible usage and disclosure for open models.^[2]^

Key takeaways

      - Llama 3 offers high-quality models under an open license—evaluate quickly.

      - Use Chaos to track experiments, risks, and approvals.

      - Integrate responsibly with updated safety and hygiene policies.

    

  
  
    

Next steps

      - Benchmark Llama 3 against current models.

      - Document outcomes and approvals in Chaos.

      - Roll out to production workflows once guardrails pass review.

    

  
  
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