AINewsnow

OK I give up, how do I turn down reasoning in vLLM / Pi

This story is from 2026-09-06. It is preserved in the archive; the latest stories are on the live feed.

I've been getting great results from Qwen3.8 in llama.cpp by passing in this on startup: --reasoning-effort low Now I keep seeing posts about how much better vLLM is, and it is, like 2x the tokens/sec, but I cannot figure out how to set reasoning-effort to low. I mean, I can when I call it directly…

Read the full story at r/LocalLLM ↗

Timeline · 1 report

  1. 2026-09-06 17:30 · r/LocalLLM
    OK I give up, how do I turn down reasoning in vLLM / Pi

More stories

  1. M2 Mac ultra128gb Qwen flash next — r/LocalLLM
  2. Qwen3.8-Flash-Next-Heretic2-IQ4XS on Halogen Flash Server vs llama-server on Strix Halo: 2.3-7.7x prefill speedup with half the VRAM (+ vision works on BYO GGUF) — r/LocalLLM
  3. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  4. You can use any LLM just like JEV — r/LocalLLaMA
  5. The bear can dance: Qwen 3.8 27B on one 3090 for 3 weeks — r/LocalLLaMA
  6. CUDA: enable sparse fa for qwen4 by am17an · Pull Request #28770 · ggml-org/llama.cpp — r/LocalLLaMA
  7. focus-llama: a llama.cpp fork implementing Declarative Attention (arXiv:2609.02737) — r/LocalLLaMA
  8. I ran Opencode and PI against the same local model on 3 identical projects, same prompts, same hardware... — r/LocalLLM

Get the daily brief of stories like this at 6:30 every morning →