{"id":"2606.26587","title":"SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference","url":"https://codeofpaper.com/paper/2606.26587","arxiv_url":"https://arxiv.org/abs/2606.26587","published":"2026-06-25","code":"official","best":{"full_name":"actypedef/SharQ","url":"https://github.com/actypedef/SharQ","tier":"official","stars":15,"license":null,"framework":null,"language":"Python","last_commit":"2026-05-19T08:30:30"},"most_starred_community":null,"implementations":[{"full_name":"actypedef/SharQ","url":"https://github.com/actypedef/SharQ","tier":"official","stars":15,"license":null,"framework":null,"language":"Python","last_commit":"2026-05-19T08:30:30"}],"possible_matches":0}