models : optimizing qwen3next graph by ggerganov · Pull Request #19375 · ggml-org/llama.cpp
A major performance upgrade is coming for one of the hottest open-source models.
Deep Dive
Developer Georgi Gerganov has submitted a pull request to the llama.cpp repository that significantly optimizes the Qwen3Next model graph, resulting in faster tokens-per-second (t/s) performance. While some fixes are still in progress, the community is anticipating a major speed improvement. This follows the recent buzz around Qwen's 'Next' series, which aims to compete with top-tier models. The optimization could make running these powerful models locally more efficient and accessible.
Why It Matters
Faster inference means developers and researchers can run advanced models more cheaply and efficiently on consumer hardware.