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llama.cpp adds OpenCL support for Q3_K quantization

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has released version b11918, introducing initial support for the Q3_K quantization format via OpenCL. This update includes various optimizations and kernel tuning for Adreno GPUs, with contributions from Hongqiang Wang. The release also details compatibility and build statuses across multiple platforms including macOS, iOS, Linux, Android, and Microsoft Windows, with specific notes on Apple Silicon and OpenEuler configurations. AI

IMPACT Improves LLM inference performance and accessibility on a wider range of hardware.

RANK_REASON This is a software release for an open-source project that optimizes LLM inference, not a frontier model release from a major lab.

Read on llama.cpp — Releases →

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

llama.cpp adds OpenCL support for Q3_K quantization

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11 / 100
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Tool
This is a software release for an open-source project that optimizes LLM inference, not a frontier model release from a major lab.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, model release
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. llama.cpp — Releases TIER_1 (SO) · github-actions[bot] ·

    b11918

    <details open=""> <p>opencl: initial support for q3_k (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/31172">#31172</a>)</p> <ul> <li> <p>opencl: add q3_k AOS mv</p> </li> <li> <p>opencl: add q3_k SOA mv and tiled mm</p> </li> <li> <p>opencl:…

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