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On November 10, Meituan open-sourced LongCat-2.5, the model it introduced on November 1 for long-horizon agent and coding work. It is a 1.6-trillion-parameter native multimodal model with about 48 billion parameters active per token. The weights are at meituan-longcat/LongCat-2.5 on Hugging Face under the MIT license. Meituan says that license allows commercial inference deployment and further training without a separate license. Meituan says the model supports a 1M-token context. It uses W4A4 quantization, meaning 4-bit expert weights and activations with native INT4 compute. Meituan says downstream results stay comparable to the unquantized model. The model card points to SGLang-FluentLLM for NPU deployment, and the model supports thinking and non-thinking modes. Most benchmark scores on the model card are Meituan's own runs. Source: tech.meituan.com/2026/11/10/Meituan-LongCat-2.5-Open-Source.html.
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