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- 2026年11月14日
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Two Minute Papers · 发布于 2026年4月1日
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers 📝 The TurboQuant paper is available here: https://arxiv.org/abs/2504.19874 Reproductions: https://github.com/tonbistudio/turboquant-pytorch https://www.reddit.com/r/LocalLLM/comments/1s6edoi/turboquant_implementation/ https://www.reddit.com/r/LocalLLaMA/comments/1s73yby/implemented_turboquant_in_python_over_weekend/ https://x.com/AlicanKiraz0/status/2038245538865275274 I'll note that I have found several reproductions and benchmarks with all kinds of results, so take each of these as just one data point, not definitive yet (thanks for the feedback Alon Torres). Some later tests even better at KV-cache compression! KV-cache source: https://huggingface.co/blog/not-lain/kv-caching Reviews and criticisms of the paper: https://openreview.net/forum?id=tO3ASKZlok https://x.com/gaoj0017/status/2037532673812443214 Our Patreon if you wish to support us: https://www.patreon.com/TwoMinutePapers 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Adam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Skarpness, Richard Sundvall, Ryan Stankye, Shawn Becker, Steef, Taras Bobrovytsky, Tazaur Sagenclaw, Tybie Fitzhugh, Ueli Gallizzi My research: https://cg.tuwien.ac.at/~zsolnai/ Thumbnail design: https://felicia.hu
