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DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles - LMSYS Blog
deepseek-v4reinforcement-learningopen-source-aihybrid-architectures
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DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles

DeepSeek-V4 is now supported for both inference and reinforcement learning (RL) training from Day 0. SGLang and Miles provide the first open-source stack designed for DeepSeek-V4’s hybrid sparse-attention architecture and manifold-constrained hyper-connections, utilizing FP4 expert weights.

lmsys.org

🔥🔥🔥🔥🔥

17 min

14h ago

DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles

DeepSeek-V4 is now supported for both inference and reinforcement learning (RL) training from Day 0. SGLang and Miles provide the first open-source stack designed for DeepSeek-V4’s hybrid sparse-attention architecture and manifold-constrained hyper-connections, utilizing FP4 expert weights.

lmsys.org

🔥🔥🔥🔥🔥

17 min

14h ago

DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles

DeepSeek-V4 is now supported for both inference and reinforcement learning (RL) training from Day 0. SGLang and Miles provide the first open-source stack designed for DeepSeek-V4’s hybrid sparse-attention architecture and manifold-constrained hyper-connections, utilizing FP4 expert weights.

lmsys.org

🔥🔥🔥🔥🔥

17 min

14h ago

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