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1. qwen38-flash-next-2x3090 qwen38-flash-next-2x3090 Public

   Qwen3.8-Flash-Next on 2× RTX 3090: with 128 GB RAM up to 4,191 tok/s prefill · 111.5 tok/s decode (131K prompt), full 256K window at 2,865 tok/s; with 64 GB RAM 3,410 tok/s prefill · 84 tok/s decod…

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2. qwen38-flash-next-3090 qwen38-flash-next-3090 Public

   Run Qwen3.8-Flash-Next on ONE RTX 3090 (24 GB) + 64 GB RAM: 128K context, up to 2,100 tok/s prefill, 43–51 tok/s decode. vLLM runtime with hot MoE experts on the GPU and cold experts computed on th…

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3. foobar_v2 foobar_v2 Public

   Extension of the FooBaR attack on deep neural networks

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4. glm53-flash-2x3090 glm53-flash-2x3090 Public

   GLM-5.3-Flash on 2× RTX 3090 + 128 GB RAM: full 256K context, up to 1,155 tok/s prefill · 47–50 tok/s decode. vLLM + ExLlamaV3 (EXL3 3.05 bpw) runtime with CPU expert offload, Docker, OpenAI-compat…

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5. foobar_resnet foobar_resnet Public

   Implementation of FooBaR attack for ResNet architecture

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