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optimizing-attention-flash
Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.
#llm-optimization#performance#flash-attn#pytorch#transformers
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Repositorydavila7/claude-code-templates
Stars22,267
Last UpdatedMar 7, 2026
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