DigestAI news desk

Cut through the AI noise.

Generative AI & Models1 min read

Llama.cpp adds support for xing4_0 model

A pull request merged into the llama.cpp repository on November 3, 2026, added support for the xing40 model. The change was co-authored by Sigbjørn Skjæret of Hugging Face and reviewed internally by maintainers. The update increased the codebase’s model compatibility from +455 to +467, according to the pull request details. The change was marked as ready for merging but later removed from that…

1 source primary source

Key points

  • llama.cpp merged support for the xing4_0 model on November 3, 2026, via pull request #31589
  • Codebase compatibility increased from +455 to +467 models after the change, per pull request data
  • Sigbjørn Skjæret of Hugging Face co-authored the update, which was internally reviewed and later demoted from 'merge ready' status

The xing4_0 model’s inclusion reflects ongoing efforts to expand the llama.cpp project’s ability to run diverse AI models locally. The repository, known for its lightweight implementation of large language models, now supports the new model without specifying its capabilities or context window. The update was part of a broader set of model-specific testing changes, though no additional details about xing4_0’s performance or use case were provided in the pull request.

The story so far

8 episodes →
  1. Llama.cpp adds support for xing4_0 modelthis story
Full story from github.com · via Reddit AI communities primary sourceOpen source ↗

Add support for the xing4_0 by shuxiaoqiong · Pull Request #31589 · ggml-org/llama.cpp

github.com · 5 November 2026

Loading the full article…

This text was published by github.com. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Coverage and discussion

1source
Topics · follow one to build your own front page

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

Comments

via GitHub Discussions

More in Generative AI & Models

All →

Related stories