The Llama 3 Herd of Models

Meta, 2024, The Llama 3 Herd of Models (arXiv preprint arXiv:2407.21783)

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3.2 Model Architecture

  1. What architectural changes did Llama 3 make relative to Llama 2?
    Grouped-query attention with 8 key–value heads (faster inference, smaller KV cache); an attention mask preventing attention across documents packed in one sequence; a 128K-token vocabulary (100K tiktoken + 28K non-English tokens, 3.94 vs 3.17 characters per token on English); and RoPE base frequency raised to 500,000 for long contexts.

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