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A happy user of llama-swap

This story is from 2026-08-20. It is preserved in the archive; the latest stories are on the live feed.

I recently considered purchasing another GPU, not so much because I need more bandwidth or vram, but because I have several local GPU-based scheduled workloads that use different models/config. After shopping around looking at prices, I decided to use a different approach. After having issues with…

Read the full story at r/LocalLLaMA ↗

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  1. 2026-08-20 21:08 · r/LocalLLaMA
    A happy user of llama-swap

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  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. Qwen3.8-27B on a single RTX 5090 (32GB) + 64GB DDR5-6000 — looking for real t/s numbers (llama.cpp / vLLM / sglang) — r/LocalLLM
  4. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  5. You can use any LLM just like JEV — r/LocalLLaMA
  6. The bear can dance: Qwen 3.8 27B on one 3090 for 3 weeks — r/LocalLLaMA
  7. CUDA: enable sparse fa for qwen4 by am17an · Pull Request #28770 · ggml-org/llama.cpp — r/LocalLLaMA
  8. focus-llama: a llama.cpp fork implementing Declarative Attention (arXiv:2609.02737) — r/LocalLLaMA

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