Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides
I had Astra run a multi-hour investigation into speeding up local MoE inference while keeping the model weights and quantization unchanged. The experiments covered Qwen3.6-35B-A3B and Qwen3.8 Flash-Next. Some workloads showed substantial gains, particularly prompt processing and source-code editing…
Read the full story at r/LocalLLM ↗
Timeline · 2 reports
- 2026-09-18 11:46 · r/LocalLLaMA
Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides - 2026-09-18 11:43 · r/LocalLLM
Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides
More stories
- M2 Mac ultra128gb Qwen flash next — r/LocalLLM
- The bear can dance: Qwen 3.8 27B on one 3090 for 3 weeks — r/LocalLLaMA
- CUDA: enable sparse fa for qwen4 by am17an · Pull Request #28770 · ggml-org/llama.cpp — r/LocalLLaMA
- M1 Max 32GB, trying to run Qwen 3.8 27B at decent speeds and context — r/LocalLLaMA
- [Guide / Weights] Qwen 3.8 27B on Intel Arc: Why IQ quants crawl at 8 tok/s, why Q4_K outpaces sub-4bpw on Battlemage, and clean RCO GGUFs (16GB & 24GB) — r/LocalLLM
- My Version of Jev running locally, playing doom. — r/LocalLLM
- Two node BC250 cluster comparison of Qwen3.6 vs Qwen 3.8 — r/LocalLLM
- dual 7900 xtx - some guy made a pretty optimized fork of lamacpp optimized for this setup Qwen 3.8 Q8 at 82 tokens / seconds decode — r/LocalLLaMA
Get the daily brief of stories like this at 6:30 every morning →