SGLang
@sgl_project
DeepSeek V4.1 Flash weights are out! We are shipping day-0 inference and RL support in SGLang and Miles.
V4.1 extends the V4 stack with compressed KV shared across layers, a two-stage sparse indexer, and a 196B Engram lookup memory.
It is natively multimodal with 552B backbone
V4.1 extends the V4 stack with compressed KV shared across layers, a two-stage sparse indexer, and a 196B Engram lookup memory.
It is natively multimodal with 552B backbone
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DeepSeek@deepseek_ai · Sep 10🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient.
🔹 Introducing the smallest model in our new architecture family, with native visual understanding.
🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models.
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🔹 Introducing the smallest model in our new architecture family, with native visual understanding.
🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models.
1/6
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