[r/LocalLLaMA]score: 0.17

llama.cpp PR Uses f16 Attention Mask in FlashAttention to Reduce VRAM

May 29, 2026

A merged pull request in llama.cpp switches the FlashAttention mask to f16 precision, reducing VRAM consumption for inference. Updating to the latest llama.cpp build applies the change with no configuration required.

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HOW THIS AFFECTS YOU

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builderYou can run larger context windows or bigger models on the same GPU by pulling the latest llama.cpp build.

SOURCE

https://github.com/ggml-org/llama.cpp/pull/23764

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