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New C99 inference engine Project Zero offers 1.8x speedup for BitNet models

By PulseAugur Editorial · [1 sources] ·

A new, from-scratch C99 inference engine called Project Zero has been developed, offering a 1.8x speedup over bitnet.cpp for BitNet models on Xeon processors. This engine boasts zero external dependencies, running solely on a CPU with no Python, CUDA, or PyTorch required. The project also supports Qwen Bonsai-27B models via GGUF and is seeking community benchmarks for various CPU architectures to further optimize performance and expand its leaderboard presence. AI

IMPACT Offers a more efficient, dependency-free option for running LLMs on CPU hardware.

RANK_REASON Development of a new inference engine with performance improvements.

Read on r/LocalLLaMA →

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

New C99 inference engine Project Zero offers 1.8x speedup for BitNet models

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Development of a new inference engine with performance improvements.
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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/shifu_legend ·

    Built a from-scratch BitNet inference engine in pure C — 1.8× faster than bitnet.cpp on Xeon (36 tok/s), zero dependencies [BitNet & Bonsai CPU testers wanted]

    <!-- SC_OFF --><div class="md"><p>Hey <a href="/r/LocalLLM">r/LocalLLM</a>,</p> <p>Built <a href="https://github.com/shifulegend/project-zero">Project Zero</a> — a from-scratch CPU-only LLM inference engine in pure C99. It beats bitnet.cpp by <strong>1.8×</strong> on the same har…

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