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0xBakeer/qwen38-flash-next-spark — GitHub trending stats & insights | Trendshift
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0xBakeer/qwen38-flash-next-spark
#
Local LLM
Run Qwen3.8-Flash-Next (180B) on a single DGX Spark by keeping its 51B n-gram embedding table on NVMe
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Python
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1 contributors
MIT License
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Running Qwen3.8-Flash-Next (125B MoE, 6B active) on two old Ampere GPUs at 54+ tok/s with 131K context. RTX 3090 (24GB) + RTX A6000 (48GB) = 72GB VRAM, 192GB DDR4 RAM, and llama.cpp. The key insight:…
@JoelDeTeves · x.com
Qwen3.8-Flash-Next on single dgx spark
@0xBakeer · x.com
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