Chinese open-weight MoEs land on HF four times in one week: DeepSeek-V4-Pro + GLM-5.2 + Tencent Hy3 + Meituan LongCat-2.0 — sparse attention at long context is the shared direction

In the first week of July, four Chinese open-weight MoE models landed on Hugging Face within one week: DeepSeek-V4-Pro (1.6T total / 49B activated MoE + 1M context + Hybrid Attention CSA+HCA + Muon optimizer + manifold-constrained hyper-connections; DSpark adds a confidence-scheduled speculative decoding module); zai-org/GLM-5.2 (753B MoE + Glm MoE DSA sparse attention + IndexShare 2.9x FLOPs reduction at 1M context); tencent/Hy3 (295B / 21B + 256K + 80 layers + MTP layer); meituan-longcat/LongCat-2.0 (1.6T / ~48B + LongCat Sparse Attention Streaming/Cross-Layer/Hierarchical Indexing + 135B N-gram embedding + 35T+ training tokens). Shared direction: sparse attention at long context.