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ggml-org/llama.cpp b11778 — Nemotron-3 embedding model added

The b11778 release of llama.cpp added the Nemotron-3 family embedding model to the model list.

Repositoryggml-org/llama.cpp ↗

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

GitHub description: LLM inference in C/C++

stars
★ 131.9K
Forks
24.6K
Language
C++
License
MIT
Latest release
Oct 21, 2026
Read original source ↗View on GitHub ↗

The b11778 release of ggml-org/llama.cpp was published on October 21, 2026 at 03:37 UTC. The repository description says the project performs large language model (LLM) inference in C/C++. The change listed for this release is a one-line summary stating that the Nemotron-3 family embedding model was added to the model list, and the changes are collected on the b11778 release page on GitHub.

An embedding model (embedding model) turns sentences or documents into bundles of numbers so the similarity of two pieces of content can be compared. It measures how close two things are in meaning, so it is used for work that has to match the meaning of sentences directly, such as search or recommendation. The model list shows the families the project can handle, so Nemotron-3 joining that list is exactly the change in this release. However, the release record does not state which file format the model is distributed in, or how large it is.

The scope for judgment is narrow. The release record gives no performance figures for the Nemotron-3 family, no comparison with existing families, and no usage instructions. It also cannot be confirmed whether other changes were included. The repository's star count at the time of research was 131869, but that figure only indicates the popularity of the repository and says nothing about the performance of this model. In other words, the only thing this release tells us is the family name and the fact that it was added to the model list. How this family is actually distributed can only be learned by checking the release notes and the repository documentation.

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