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Русский(RU) А нормально там пацаны llama.cpp чинят. В прошлый раз обновлял контейнер в июле, обновил сейчас - на том же самом железе, той же самой модели с тем же стестом п

llama.cpp sees performance gains, users report speed increases

By PulseAugur Editorial · [1 sources] ·

The llama.cpp project has seen performance improvements, with users reporting significant speed increases on the same hardware and models. One user noted a 2 T/s gain when updating their container, achieving approximately 30 T/s on a 3060 with the Qwen3.8-27B-GSQ-RCO-IQ2_XS-mtp model. Another user reported their 3090 consistently exceeding 50 T/s with the Qwen3.8-27B-UD-Q4_K_XL model. AI

IMPACT Performance enhancements in llama.cpp could lead to more efficient local AI model deployment and experimentation.

RANK_REASON The item discusses performance improvements in an open-source inference engine, which falls under research and development in AI infrastructure. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

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

llama.cpp sees performance gains, users report speed increases

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11 / 100
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The item discusses performance improvements in an open-source inference engine, which falls under research and development in AI infrastructure. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Русский(RU) · [email protected] ·

    The guys are fixing llama.cpp there. Last time I updated the container in July, I updated it now - on the same hardware, with the same model and the same test.

    А нормально там пацаны llama.cpp чинят. В прошлый раз обновлял контейнер в июле, обновил сейчас - на том же самом железе, той же самой модели с тем же стестом прирост 2т/с. С учетом того что это 3060 и она в принципе выдавала около 30т/с на Qwen3.8-27B-GSQ-RCO-IQ2_XS-mtp - весьма…

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