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0xBakeer/deepseek-v41-flash-spark — GitHub trending stats & insights | Trendshift
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0xBakeer/deepseek-v41-flash-spark
#
AI infrastructure
DeepSeek-V4.1-Flash on a single DGX Spark (GB10): resident hot experts + NVMe streaming, DSpark, OpenAI API. Work in progress.
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Python
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1 contributors
MIT License
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Recent discussions about this repository across the web
510 GB model. 128 GB machine. 256k context, thinking on. DeepSeek-V4.1-Flash on one DGX Spark, no smaller model, no cloud. The trick: the model only uses 6 of 384 experts per token. So I tell the box…
@0xBakeer · x.com
🚀现在拥有一台DGX Spark GB10你能部署什么?注意是一台!!! 不需要4x, 3x2x, 一台Spark可以部署所有最顶尖的开源的大模型、视频生成!!! - DeepSeek V4.1 Flash DeepSeek V4.1 Flash 单DGX Spark部署20.85 tok/s方案 1. DeepSeek V4 Flash DeepSeek v4 Flash 0731 单DGX…
@xueyu1125 · x.com
Deepseek V4.1 Flash fits in a single dgx spark. I published the repository on GitHub, please use it as a research source. It is still slow and takes ages to answer, it is WIP.
@0xBakeer · x.com
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