Model check - DeepSeek-V3.2-Exp - Fine-Grained Sparse Attention for Efficient Long-Context LLMs

Efficient large language models have driven various architectural innovations—from mixture-of-experts to quantization techniques. Attention mechanisms remain the core computational bottleneck in transformers, and optimization typically degrades output quality. Most sparse attention approaches make coarse-grained trade-offs, sacrificing model capability for speed. DeepSeek-V3.2-Exp uses a…