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ggml-org/llama.cpp b11819 — Nemotron support changes

ggml-org/llama.cpp release b11819 supports non-standard grouped-query attention for Nemotron models together with a BPE tokenizer and domain dictionary settings, and records the metaspace prefix scheme in GGUF metadata.

Repositoryggml-org/llama.cpp ↗

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

GitHub description: LLM inference in C/C++

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★ 132K
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Language
C++
License
MIT
Latest release
Oct 22, 2026
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ggml-org/llama.cpp is a C/C++-based LLM inference repository. Release b11819 is a build that supports non-standard grouped-query attention for Nemotron models, along with a BPE tokenizer and domain dictionary settings. The metaspace prefix scheme is also recorded as GGUF metadata. These are the changes listed on the GitHub release tag published on October 22, 2026.

The changes are presented as support items related to model handling. Grouped-query attention is stated to support a non-standard form in Nemotron models, and the BPE tokenizer and domain dictionary settings are included as well. The metaspace prefix scheme is not a separate feature description; the material only records it in GGUF metadata. Which domains the domain dictionary settings target, and what format the dictionary takes, are not given. Therefore what can be confirmed in this release is limited to which formats and settings are supported or recorded.

The provided information contains no implementation scope or configuration method for each feature, and no list of supported models. No performance or accuracy comparison, and no results against previous builds, are presented either. So there is no basis for judging that this change alone alters inference speed or output quality. It is a release where the Nemotron model support items can be checked, but the actual effect and the conditions of application are hard to judge without detailed material.

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