AINewsnow

Update: llama.cpp for Radeon VII / MI50 / MI60 — +14% PP, +9% long-context fill vs upstream + adaptive Flash Attention

This story is from 2026-09-01. It is preserved in the archive; the latest stories are on the live feed.

I posted a new gfx906 based llama.cpp fork a few days ago. One of the main points of critique was that i did not provide sufficient numbers for the gains to be achieved. -- TL;DR: After switching our Qwen 3.8 27B production setup to DFlash2, several of the old gfx906 optimizations turned out to be…

Read the full story at r/LocalLLaMA ↗

Timeline · 1 report

  1. 2026-09-01 14:11 · r/LocalLLaMA
    Update: llama.cpp for Radeon VII / MI50 / MI60 — +14% PP, +9% long-context fill vs upstream + adaptive Flash Attention

More stories

  1. M2 Mac ultra128gb Qwen flash next — r/LocalLLM
  2. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  3. The bear can dance: Qwen 3.8 27B on one 3090 for 3 weeks — r/LocalLLaMA
  4. CUDA: enable sparse fa for qwen4 by am17an · Pull Request #28770 · ggml-org/llama.cpp — r/LocalLLaMA
  5. M1 Max 32GB, trying to run Qwen 3.8 27B at decent speeds and context — r/LocalLLaMA
  6. [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
  7. My Version of Jev running locally, playing doom. — r/LocalLLM
  8. Two node BC250 cluster comparison of Qwen3.6 vs Qwen 3.8 — r/LocalLLM

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