85 GB DeepSeek-V4-Flash at ~3 tok/s on a 12 GB RTX 3060 + 64 GB DDR5 RAM - Overspill for FreeToken, inspired by Colibri
英文标题:85 GB DeepSeek-V4-Flash at ~3 tok/s on a 12 GB RTX 3060 + 64 GB DDR5 RAM - Overspill for FreeToken, inspired by Colibri
I've been experimenting with ways to run MoE models that don't fit comfortably in RAM, and I ended up making Overspill, a disk tier for FreeToken. The basic idea came from looking at how Colibri handles experts across disk/RAM/VRAM so I took inspiration from the general approach. Repo: https://githu
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中文
I've been experimenting with ways to run MoE models that don't fit comfortably in RAM, and I ended up making Overspill, a disk tier for FreeToken. The basic idea came from looking at how Colibri handles experts across disk/RAM/VRAM so I took inspiration from the general approach. Repo: https://githu
中文全文翻译正在补齐,可先查看下方英文原文。
English / 原文
I've been experimenting with ways to run MoE models that don't fit comfortably in RAM, and I ended up making Overspill, a disk tier for FreeToken. The basic idea came from looking at how Colibri handles experts across disk/RAM/VRAM so I took inspiration from the general approach. Repo: https://githu