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llama.cpp merges KV cache fix for multi-GPU tensor operations

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has merged a significant fix (b9455) that resolves issues with the KV cache when using the --sm tensor flag on multi-GPU setups. This update, developed by Johannes Gaessler, ensures that shape information is preserved during tensor flattening, allowing the meta backend to correctly handle the KV cache rotation. The fix avoids undesirable workarounds by extending the meta backend's capabilities rather than altering the compute graphs. AI

IMPACT Improves performance and stability for users running LLMs locally on multi-GPU configurations.

RANK_REASON This is a software update/fix for an open-source project related to LLM inference, not a new model release or major industry event. [lever_c_demoted from research: ic=1 ai=0.7]

Read on r/LocalLLaMA →

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

llama.cpp merges KV cache fix for multi-GPU tensor operations

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This is a software update/fix for an open-source project related to LLM inference, not a new model release or major industry event. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Bulky-Priority6824 ·

    ICYM: llama.cpp b9455 --SM Tensor KV Cache Fix is MERGED

    <!-- SC_OFF --><div class="md"><p>Them boys can cook, one big fix after another!</p> <p>If you're running --sm tensor on multi-gpu this is the KV cache quantization fix</p> <p><a href="https://github.com/ggml-org/llama.cpp/releases/tag/b9455">https://github.com/ggml-org/llama.cpp…

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