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llama.cpp b11679 release optimizes k-pool input view sharing

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released version b11679, which includes an update to share k-pool input views between layers. This change, tagged by am17an, aims to optimize the scheduler's handling of host inputs by avoiding redundant copying of per-layer reshapes, specifically mentioning the GLM5-Next model. AI

IMPACT This update to llama.cpp improves efficiency in handling input views, potentially leading to faster inference for models like GLM5-Next.

RANK_REASON This is a software release for a specific project, not a frontier model release or significant industry event.

Read on llama.cpp — Releases →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

llama.cpp b11679 release optimizes k-pool input view sharing

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COVERAGE [1]

  1. llama.cpp — Releases TIER_1 English(EN) · am17an ·

    b11679: llama : share the k-pool input views between layers (#30613)

    <p>The scheduler uploads each view of a host input on its own, so the per-layer reshape of new_pool_idxs (and of sel_mask in glm5-next) was copied once per layer.</p>

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