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ggml-org/llama.cpp b12052 — Adds top-k mask operation to the OpenCL backend

The llama.cpp build b12052 adds a top-k mask operation to the OpenCL backend.

Repositoryggml-org/llama.cpp ↗

A portable C/C++ inference engine executes large language models locally.

GitHub description: LLM inference in C/C++

stars
★ 133.2K
Forks
25.1K
Language
C++
License
MIT
Latest release
Nov 3, 2026
Read original source ↗View on GitHub ↗

ggml-org/llama.cpp is a project that performs large language model (LLM) inference in C/C++. Build b12052 was released on November 2, 2026, and according to the release summary this change added a top-k mask operation to the OpenCL backend. The source of this change is the repository's b12052 release record.

What can be confirmed specifically in this release is that the operation was added to the OpenCL backend. Therefore, what can newly be recorded is the addition of the operation to this backend of llama.cpp, and the release summary alone cannot explain the internal behavior of the operation or the conditions under which it is used. The repository description presents the project's scope as C/C++-based LLM inference, but does not clarify at which stage of the inference process this change applies. The repository's star count is recorded as 133173.

The given information contains no definition of the top-k mask operation, no supported targets, and no indication of whether other backends support it. No performance measurements or application cases are presented either, so it cannot be judged what effect this addition has on execution time or results. Separate project information such as the license is likewise not included in this FACTS. Therefore what can be confirmed at b12052 extends only to the addition of an operation to the OpenCL backend, and there is no basis for asserting more broadly about its effects or scope of application.

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