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Built on [LongCat-Flash-Lite](https://huggingface.co/meituan-longcat/LongCat-Flash-Lite), it replaces dense MLA with **LongCat Sparse Attention (LSA)** and natively supports context lengths of up to 1M tokens. Compared with its dense predecessor, LongCat-Flash-Lite-Sparse improves long-context inference efficiency and agentic capabilities while preserving strong reasoning and general-knowledge performance. Key Features 🌟 LongCat Sparse Attention (LSA) LSA is a hardware-efficient sparse-attention framework that extends DeepSeek Sparse Attention (DSA) with three complementary indexing mechanisms: - **Streaming-Aware Indexing (SI)** reallocates part of the token-selection budget to a fixed sink and local sliding window while retaining dynamic sparse selection for the remaining tokens. 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