REDDIT · REDDIT// 35d agoPRODUCT UPDATE

llama.cpp boosts Qwen token throughput

llama.cpp just merged PR #19504, adding a fused GATED_DELTA_NET operator that speeds up token generation for Qwen3.5 and Qwen-Next style models on CPU and CUDA paths. For local inference users, this looks like a real backend performance win rather than Reddit hype, with benchmark comments in the PR showing clear TG gains across multiple setups.

// ANALYSIS

This is the kind of open-source update that matters more than flashy launches: the same models, same hardware, just faster decoding in a widely used local inference stack.

–The merged change targets a real bottleneck that had been called out in earlier llama.cpp performance discussions around Qwen Next CPU inference
–PR benchmarks and follow-up tester comments show better token-generation throughput, especially for Qwen delta-net style workloads
–The update lands in llama.cpp itself, which matters because optimizations in the main repo propagate across a huge local-LLM ecosystem
–It is not a brand-new release or model drop, but it materially improves the practical usability of strong open-weight Qwen models on consumer hardware

// TAGS

llama-cppllminferencegpubenchmarkopen-source

DISCOVERED

35d ago

2026-03-07

PUBLISHED

36d ago

2026-03-07

RELEVANCE

9/ 10

AUTHOR

jacek2023