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llama.cpp releases boost Zamba2 performance, refine MoE caching

The llama.cpp project has released several pre-release versions, including b12207, which significantly improves performance for Zamba2-like architectures by optimizing the SSM_SCAN kernel for a state size of 64. This optimization led to a ~35% throughput increase for Zamba2-7B-Instruct on GPUs, though some scan calls still fall back to the CPU for reasons yet to be determined. Other recent releases, such as b12206 and b12201, address issues with MoE caching and speculative decoding, ensuring better efficiency and stability across various platforms including macOS, iOS, Linux, Android, and Windows. AI

IMPACT Improves inference speed and stability for various LLM architectures on consumer hardware.

RANK_REASON Multiple pre-release updates to an open-source inference library, including performance optimizations and bug fixes.

Read on llama.cpp — Releases →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

llama.cpp releases boost Zamba2 performance, refine MoE caching

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Multiple pre-release updates to an open-source inference library, including performance optimizations and bug fixes.
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COVERAGE [4]

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

    b12207

    <details open=""> <p>ggml-cuda : add d_state=64 fast path to SSM_SCAN kernel (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/31818">#31818</a>)</p> <p>Zamba2 and similar architectures use a state size of 64 in their<br /> recurrent-scan step,…

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

    b12206

    <details open=""> <p>moe-cache : ensure CPU part does not wait for the cached experts (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/31888">#31888</a>)</p> </details> <p><strong>Website:</strong></p> <ul> <li><a href="https://llama.app" rel=…

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

    b12202

    <details open=""> <p>llama, mtmd: follow the reference precision of ggml_prec_set_acc calls (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/31851">#31851</a>)</p> <ul> <li>llama, mtmd: follow the reference precision of ggml_prec_set_acc calls…

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

    b12201

    <details open=""> <p>speculative : do not apply the MoE cache to the draft model (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/31497">#31497</a>)</p> </details> <p><strong>Website:</strong></p> <ul> <li><a href="https://llama.app" rel="nofo…