llama.cpp PR halves Qwen indexer score memory
10/03/2026 — 10/05, 03:18·1 sources·1 reports
Story overview
On October 3, 2026, a post on Reddit's LocalLLaMA community pointed to a pull request in the llama.cpp repository: PR #29825. The PR aims to halve the memory used for scores in the Qwen indexer. According to the submitter, Qwen Flash Next now uses less VRAM as a result. The change is described as targeting memory rather than speed.
The Reddit post title translates to "llama.cpp's new PR halves Qwen indexer score memory," and the original snippet reads "Qwen Flash Next now uses less VRAM," submitted by /u/jacek2023. The material does not mention the PR's review status, whether it has been merged, any implementation details, or before-and-after memory figures. It also does not specify which Qwen models or versions are affected by the indexer change. At this point, the publicly available information is limited to the PR number and its stated goal.
AI-generated from 1 reports · updated 17 minutes ago
Latest turnA pull request (#29825) in the llama.cpp repo aims to halve the indexer score memory used by Qwen. The submitter says Qwen Flash Next now uses less VRAM, and the change targets memory rather than speed; the PR was shared in the LocalLLaMA community.
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Reports on this story headlines open the original
A pull request (#29825) in the llama.cpp repo aims to halve the indexer score memory used by Qwen. The submitter says Qwen Flash Next now uses less VRAM, and the change targets memory rather than speed; the PR was shared in the LocalLLaMA community.
Reddit · LocalLLaMAAI score 58
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