Comprehensive Guide to LLaMA Architecture Technology
🧠G-MQA optimization attention mechanism, reducing overhead and improving efficiency, suitable for large models. 🔍RMSNorm replaces LayerNorm, reducing computation and enhancing stability, widely applied. 🌐RoPE improves positional encoding, integrating information to solve problems, aiding model understanding. ⚡SwiGLU combines functional advantages, enhancing performance and efficiency, used in complex scenarios.
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