{"id":4053,"date":"2025-10-18T05:21:12","date_gmt":"2025-10-18T05:21:12","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=4053"},"modified":"2025-10-18T05:21:12","modified_gmt":"2025-10-18T05:21:12","slug":"grouped-query-attention-beats-vanilla-mha-for-spectrum-tokens-2","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=4053","title":{"rendered":"Grouped-Query Attention Beats Vanilla MHA for Spectrum Tokens"},"content":{"rendered":"\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/10\/Grouped-Query-Attention-Beats-Vanilla-MHA-for-Spectrum-Tokens.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Grouped-Query Attention Beats Vanilla MHA for Spectrum Tokens.\"><\/object><a id=\"wp-block-file--media-15610b99-4897-4075-80ee-f26cc669aa5a\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/10\/Grouped-Query-Attention-Beats-Vanilla-MHA-for-Spectrum-Tokens.pdf\">Grouped-Query Attention Beats Vanilla MHA for Spectrum Tokens<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/10\/Grouped-Query-Attention-Beats-Vanilla-MHA-for-Spectrum-Tokens.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-15610b99-4897-4075-80ee-f26cc669aa5a\">Download<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Long spectrum sequences stress attention memory and bandwidth. We benchmark grouped-query attention<br>(GQA) against multi-head attention (MHA) and multi-query<br>attention (MQA) on FFT-token streams. GQA provides substantial<br>throughput gains and peak-memory reductions while maintaining<br>accuracy across token groupings.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">RF monitoring pipelines often tokenize FFT power spectra<br>into long sequences for downstream classification or anomaly<br>scoring. Vanilla multi-head attention (MHA) quickly becomes<br>memory-bound as sequence length increases. We study groupedquery attention (GQA) as a middle ground between MHA and<br>MQA: reduce key\/value projections while retaining multiple<br>query groups.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Long spectrum sequences stress attention memory and bandwidth. We benchmark grouped-query attention(GQA) against multi-head attention (MHA) and multi-queryattention (MQA) on FFT-token streams. GQA provides substantialthroughput gains and peak-memory reductions while maintainingaccuracy across token groupings. RF monitoring pipelines often tokenize FFT power spectrainto long sequences for downstream classification or anomalyscoring. Vanilla multi-head attention (MHA) quickly becomesmemory-bound&hellip;&nbsp;<\/p>\n","protected":false},"author":2,"featured_media":2846,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-4053","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/4053","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4053"}],"version-history":[{"count":0,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/4053\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/2846"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4053"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}