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Ant Group's BaiLing Large Model Team Open Sources Ring-flash-linear-2.0-128K, Combining Hybrid Attention and MoE Architecture to Reshape Long-Text Programming Efficiency

Ant Group open-sources the BaiLing Large Model Ring-flash-linear-2.0-128K, specifically targeting long-text programming. It employs a hybrid linear attention mechanism with a sparse MoE architecture, achieving performance comparable to a 40B dense model by activating only 6.1B parameters. It achieves optimal results in code generation and intelligent agent applications, efficiently addressing the challenges of long context processing.

14.9k 7 hours ago

Ant Group's Bai Ling Launches Open-Source Efficient Thinking Models, Significantly Reducing Inference Costs

The Bai Ling team at Ant Group has open-sourced two efficient thinking models, Ring-flash-linear-2.0 and Ring-mini-linear-2.0, designed to enhance deep reasoning efficiency. They also released FP8 fusion operators and linear Attention inference fusion operators, supporting efficient inference with 'large parameters and low activation' and ultra-long context. By optimizing the architecture and collaborating with high-performance operators, significant performance improvements have been achieved.

13.2k 10 hours ago

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