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TheTom/llama-cpp-turboquant

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LLM inference in C/C++

5 mentions on Hacker News by 5 people: 0 stories, 5 comments · first 2026-03-28 · latest 2026-10-17

Mentions per year 5 mentions · busiest year 2026 (5)
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  1. …results with that setup. Not sure what llamacpp build you are using but on mine using this fork: https://github.com/TheTom/llama-cpp-turboquant on commit 407f3237bfb3eeaff61546797de3d8c1a96be748 compiled for Pascal, I am able to push my…
  2. …to get a context of 195k for Qwen3.5-9b Q4_K_M using a llama.cpp fork that supports TurboQuant: https://github.com/TheTom/llama-cpp-turboquant I think you could replicate this with a larger model on your device. Overall with the right…
  3. …--cache-type-v turbo3 --no-mmap --mlock --host 0.0.0.0 -t 8 -tb 8 -np 1 Using this llama.cpp fork https://github.com/TheTom/llama-cpp-turboquant and mostly copying from this video https://www.youtube.com/watch?v=8F_5pdcD3HY Haven't had…
  4. I built TurboQuant+ ( https://github.com/TheTom/llama-cpp-turboquant ), the llama.cpp implementation of this paper with extensions: asymmetric K/V compression, boundary layer protection, sparse V dequant, and this week weight compression…
  5. …Qwen3-8B-Q5_K_M-Instruct.gguf --local-dir ~/.models/` TurboQuant: cd ~ git clone https://github.com/TheTom/llama-cpp-turboquant.git cd llama-cpp-turboquant git checkout feature/turboquant-kv-cache Build for M4: cmake -B build \ -DGGML_META