AINewsnow

Llama.cpp DSpark PC Tree Fork (up to 3%-29.5% faster!)

This story is from 2026-08-21. It is preserved in the archive; the latest stories are on the live feed.

Hello gang, I made an implementation of DSpark PC Tree (Parent conditioned drafting tree). This is an implementation of this research paper: https://arxiv.org/abs/2608.02123 Unaffiliated, just found it and implemented it. And I have to preface: This is just a first shot, I have no feedback from any…

Read the full story at r/LocalLLaMA ↗

Timeline · 1 report

  1. 2026-08-21 18:02 · r/LocalLLaMA
    Llama.cpp DSpark PC Tree Fork (up to 3%-29.5% faster!)

More stories

  1. Is Qwen 3.8 Flash Next usable on M1 Ultra 64GB ? — r/LocalLLM
  2. Beginner confused about Ollama vs LM Studio vs llama.cpp vs vLLM vs Unsloth — can someone explain? — r/LocalLLM
  3. 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
  4. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  5. Made a tool that tells you which GGUF quants will fit your GPU/Mac, with the llama.cpp command to run them — r/LocalLLM
  6. Intel releases OpenVINO 2026.4 — r/LocalLLaMA
  7. M1 Max 32GB, trying to run Qwen 3.8 27B at decent speeds and context — r/LocalLLaMA
  8. I turned an asymetric pair of Tesla V100s PCIe both (16 GB + 32 GB) into a surprisingly capable local LLM lab — 1.38k prompt tok/s, 40 decode tok/s with qwen3.8 27B Q6 and Q8... — r/LocalLLaMA

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