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ktransformers

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14:37
2026-08-27
forum.level1techs.com
large-language-models

DeepSeek Deep Dive R1 at Home!

A hobbyist quantizer known as Aesedai produced a GLM-5.2 GGUF quant using a 512GB RAM workstation with 2x56-core Emerald Rapids Xeons and a single RTX 6000, achieving about 15 tokens per second at 16k…

17:08
2026-07-29
sourcefeed.dev
artificial-intelligence

A 26B Model in 2 GB of RAM, Courtesy of Your SSD

TurboFieldfare, a Swift-and-Metal runtime, runs Google's Gemma 4 26B-A4B model on Apple Silicon Macs with as little as 2 GB of RAM by streaming expert weights from SSD, achieving 5.1–6.3 tokens per se…

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