community Reddit LocalLLaMA 2026-08-02T07:28 正文 thin 0 words

DeepSeek-V4-Flash 284B on 5.3GB of memory

英文标题:DeepSeek-V4-Flash 284B on 5.3GB of memory

Following up on my Qwen 3.6 port, I wanted to keep adding models and ended up fixing a bunch of things along the way, so it's its own engine now: Mference. Same core idea from TurboFieldfare, MoE models activate a few B params per token, so keep the shared core and KV cache resident and stream
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Following up on my Qwen 3.6 port, I wanted to keep adding models and ended up fixing a bunch of things along the way, so it's its own engine now: Mference. Same core idea from TurboFieldfare, MoE models activate a few B params per token, so keep the shared core and KV cache resident and stream

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English / 原文

Following up on my Qwen 3.6 port, I wanted to keep adding models and ended up fixing a bunch of things along the way, so it's its own engine now: Mference. Same core idea from TurboFieldfare, MoE models activate a few B params per token, so keep the shared core and KV cache resident and stream