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ggml-webgpu: Improve prefill speeds for k-quants + refactor matmul for Q4/Q5/Q8 and k-quants by yomaytk · Pull Request #24225 · ggml-org/llama.cpp

Reddit r/LocalLLaMA · 2026-06-09 Cached

Improves prefill speeds for k-quants and refactors matrix multiplication for Q4/Q5/Q8 and k-quants in llama.cpp's WebGPU backend.

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#matmul

@HanGuo97: LLM training is built on fast MatMuls. But many surrounding ops still run as memory-bound kernels. CODA reparameterizes…

X AI KOLs Following · 2026-05-21 Cached

CODA reparameterizes memory-bound operations in LLM training to fuse them into the matmul epilogue, achieving near state-of-the-art performance with LLM-generated kernels.

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