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Llama 3

LLMs

Llama 3 is Meta's open-source next-generation large language model, available in 8B and 70B sizes and trained on over 15 trillion tokens. It leads its class on reasoning, coding, and instruction-following benchmarks.

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Editor's note

Best for developers and researchers building their own AI applications; not suitable for non-technical users wanting a ready-made product.

Decision facts

“Not verified” means evidence is insufficient, not that the capability is absent.

CategoryLLMs
Evidence statusVerification level not recorded
PlatformsNot verified
AvailabilityAvailable
Chinese UINot verified
Mainland ChinaNot verified
Commercial useNot verified

What is Llama 3

Llama 3 is Meta's open-source next-generation large language model, available in 8B and 70B sizes and trained on over 15 trillion tokens. It leads its class on reasoning, coding, and instruction-following benchmarks.

Key features of Llama 3

  • Self-hosting an open-source LLM
  • Fine-tuning domain-specific assistants
  • Code generation and programming help
  • Academic research and model evaluation

Good for

  • Open source and free to deploy
  • Two sizes (8B and 70B) for different needs
  • 7x more training data than the previous generation

Watch out

  • Self-hosting requires significant compute
  • Fine-tuning and safety alignment are your responsibility
  • No turnkey consumer product included

How to use Llama 3

  1. Visit llama.meta.com/llama3
  2. Get the weights from Hugging Face or GitHub
  3. Review and accept Meta's license
  4. Set up an inference environment and load the model
  5. Fine-tune and integrate into your application

Who Llama 3 is for

Difficulty: Advanced

  • Self-hosting an open-source LLM
  • Fine-tuning domain-specific assistants
  • Code generation and programming help
  • Academic research and model evaluation

FAQ

Is Llama 3 free?

Yes, it is open source and free to download under Meta's license terms.

What model sizes are available?

8B and 70B versions are available now, with a 400B model announced as in training.

How good is its Chinese?

Pretraining data covers 30+ non-English languages; evaluate Chinese quality for your use case.

Sources and verification

Evidence status: Verification level not recorded

Sources: llama.meta.com (opens in a new tab)
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