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data-analytics-event=\"{"action":"github_copilot","tag":"link","context":"platform","location":"navbar","label":"github_copilot_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-copilot NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z\"></path><path d=\"M14.5 14.25a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">GitHub Copilot</span><span class=\"NavLink-module__subtitle__X4gkW\">Write better code with AI</span></div></a></li><li><a href=\"https://github.com/features/ai/github-app\" data-analytics-event=\"{"action":"github_copilot_app","tag":"link","context":"platform","location":"navbar","label":"github_copilot_app_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-mark-github NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M10.226 17.284c-2.965-.36-5.054-2.493-5.054-5.256 0-1.123.404-2.336 1.078-3.144-.292-.741-.247-2.314.09-2.965.898-.112 2.111.36 2.83 1.01.853-.269 1.752-.404 2.853-.404 1.1 0 1.999.135 2.807.382.696-.629 1.932-1.1 2.83-.988.315.606.36 2.179.067 2.942.72.854 1.101 2 1.101 3.167 0 2.763-2.089 4.852-5.098 5.234.763.494 1.28 1.572 1.28 2.807v2.336c0 .674.561 1.056 1.235.786 4.066-1.55 7.255-5.615 7.255-10.646C23.5 6.188 18.334 1 11.978 1 5.62 1 .5 6.188.5 12.545c0 4.986 3.167 9.12 7.435 10.669.606.225 1.19-.18 1.19-.786V20.63a2.9 2.9 0 0 1-1.078.224c-1.483 0-2.359-.808-2.987-2.313-.247-.607-.517-.966-1.034-1.033-.27-.023-.359-.135-.359-.27 0-.27.45-.471.898-.471.652 0 1.213.404 1.797 1.235.45.651.921.943 1.483.943.561 0 .92-.202 1.437-.719.382-.381.674-.718.944-.943\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">GitHub Copilot app</span><span class=\"NavLink-module__subtitle__X4gkW\">Direct agents from issue to merge</span></div></a></li><li><a href=\"https://github.com/mcp\" data-analytics-event=\"{"action":"mcp_registry","tag":"link","context":"platform","location":"navbar","label":"mcp_registry_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-mcp NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M9.795 1.694a4.287 4.287 0 0 1 6.061 0 4.28 4.28 0 0 1 1.181 3.819 4.282 4.282 0 0 1 3.819 1.181 4.287 4.287 0 0 1 0 6.061l-6.793 6.793a.249.249 0 0 0 0 .353l2.617 2.618a.75.75 0 1 1-1.061 1.061l-2.617-2.618a1.75 1.75 0 0 1 0-2.475l6.793-6.793a2.785 2.785 0 1 0-3.939-3.939l-5.9 5.9a.734.734 0 0 1-.249.165.749.749 0 0 1-.812-1.225l5.9-5.901a2.785 2.785 0 1 0-3.939-3.939L2.931 10.68A.75.75 0 1 1 1.87 9.619l7.925-7.925Z\"></path><path d=\"M12.42 4.069a.752.752 0 0 1 1.061 0 .752.752 0 0 1 0 1.061L7.33 11.28a2.788 2.788 0 0 0 0 3.94 2.788 2.788 0 0 0 3.94 0l6.15-6.151a.752.752 0 0 1 1.061 0 .752.752 0 0 1 0 1.061l-6.151 6.15a4.285 4.285 0 1 1-6.06-6.06l6.15-6.151Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">MCP Registry<sup class=\"NavLink-module__label__bil7n\">New</sup></span><span class=\"NavLink-module__subtitle__X4gkW\">Integrate external tools</span></div></a></li></ul></div></li><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_9hb_\">DEVELOPER WORKFLOWS</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_9hb_\"><li><a href=\"https://github.com/features/actions\" data-analytics-event=\"{"action":"actions","tag":"link","context":"platform","location":"navbar","label":"actions_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-workflow NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M1 3a2 2 0 0 1 2-2h6.5a2 2 0 0 1 2 2v6.5a2 2 0 0 1-2 2H7v4.063C7 16.355 7.644 17 8.438 17H12.5v-2.5a2 2 0 0 1 2-2H21a2 2 0 0 1 2 2V21a2 2 0 0 1-2 2h-6.5a2 2 0 0 1-2-2v-2.5H8.437A2.939 2.939 0 0 1 5.5 15.562V11.5H3a2 2 0 0 1-2-2Zm2-.5a.5.5 0 0 0-.5.5v6.5a.5.5 0 0 0 .5.5h6.5a.5.5 0 0 0 .5-.5V3a.5.5 0 0 0-.5-.5ZM14.5 14a.5.5 0 0 0-.5.5V21a.5.5 0 0 0 .5.5H21a.5.5 0 0 0 .5-.5v-6.5a.5.5 0 0 0-.5-.5Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">Actions</span><span class=\"NavLink-module__subtitle__X4gkW\">Automate any workflow</span></div></a></li><li><a href=\"https://github.com/features/codespaces\" data-analytics-event=\"{"action":"codespaces","tag":"link","context":"platform","location":"navbar","label":"codespaces_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-codespaces NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M3.5 3.75C3.5 2.784 4.284 2 5.25 2h13.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 18.75 13H5.25a1.75 1.75 0 0 1-1.75-1.75Zm-2 12c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v4a1.75 1.75 0 0 1-1.75 1.75H3.25a1.75 1.75 0 0 1-1.75-1.75ZM5.25 3.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h13.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Zm-2 12a.25.25 0 0 0-.25.25v4c0 .138.112.25.25.25h17.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25Z\"></path><path d=\"M10 17.75a.75.75 0 0 1 .75-.75h6.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1-.75-.75Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">Codespaces</span><span class=\"NavLink-module__subtitle__X4gkW\">Instant dev environments</span></div></a></li><li><a href=\"https://github.com/features/issues\" data-analytics-event=\"{"action":"issues","tag":"link","context":"platform","location":"navbar","label":"issues_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-issue-opened NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M12 1c6.075 0 11 4.925 11 11s-4.925 11-11 11S1 18.075 1 12 5.925 1 12 1ZM2.5 12a9.5 9.5 0 0 0 9.5 9.5 9.5 9.5 0 0 0 9.5-9.5A9.5 9.5 0 0 0 12 2.5 9.5 9.5 0 0 0 2.5 12Zm9.5 2a2 2 0 1 1-.001-3.999A2 2 0 0 1 12 14Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">Issues</span><span class=\"NavLink-module__subtitle__X4gkW\">Plan and track work</span></div></a></li><li><a href=\"https://github.com/features/code-review\" data-analytics-event=\"{"action":"code_review","tag":"link","context":"platform","location":"navbar","label":"code_review_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-code NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M15.22 4.97a.75.75 0 0 1 1.06 0l6.5 6.5a.75.75 0 0 1 0 1.06l-6.5 6.5a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L21.19 12l-5.97-5.97a.75.75 0 0 1 0-1.06Zm-6.44 0a.75.75 0 0 1 0 1.06L2.81 12l5.97 5.97a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215l-6.5-6.5a.75.75 0 0 1 0-1.06l6.5-6.5a.75.75 0 0 1 1.06 0Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">Code Review</span><span class=\"NavLink-module__subtitle__X4gkW\">Manage code changes</span></div></a></li></ul></div></li><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_dhb_\">APPLICATION SECURITY</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_dhb_\"><li><a href=\"https://github.com/security/advanced-security\" data-analytics-event=\"{"action":"github_advanced_security","tag":"link","context":"platform","location":"navbar","label":"github_advanced_security_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-shield-check NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z\"></path><path d=\"m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">GitHub Advanced Security</span><span class=\"NavLink-module__subtitle__X4gkW\">Find and fix vulnerabilities</span></div></a></li><li><a href=\"https://github.com/security/advanced-security/code-security\" data-analytics-event=\"{"action":"code_security","tag":"link","context":"platform","location":"navbar","label":"code_security_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-code-square NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M10.3 8.24a.75.75 0 0 1-.04 1.06L7.352 12l2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z\"></path><path d=\"M2 3.75C2 2.784 2.784 2 3.75 2h16.5c.966 0 1.75.784 1.75 1.75v16.5A1.75 1.75 0 0 1 20.25 22H3.75A1.75 1.75 0 0 1 2 20.25Zm1.75-.25a.25.25 0 0 0-.25.25v16.5c0 .138.112.25.25.25h16.5a.25.25 0 0 0 .25-.25V3.75a.25.25 0 0 0-.25-.25Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">Code security</span><span class=\"NavLink-module__subtitle__X4gkW\">Secure your code as you build</span></div></a></li><li><a href=\"https://github.com/security/advanced-security/secret-protection\" data-analytics-event=\"{"action":"secret_protection","tag":"link","context":"platform","location":"navbar","label":"secret_protection_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-lock NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6 9V7.25C6 3.845 8.503 1 12 1s6 2.845 6 6.25V9h.5a2.5 2.5 0 0 1 2.5 2.5v8a2.5 2.5 0 0 1-2.5 2.5h-13A2.5 2.5 0 0 1 3 19.5v-8A2.5 2.5 0 0 1 5.5 9Zm-1.5 2.5v8a1 1 0 0 0 1 1h13a1 1 0 0 0 1-1v-8a1 1 0 0 0-1-1h-13a1 1 0 0 0-1 1Zm3-4.25V9h9V7.25c0-2.67-1.922-4.75-4.5-4.75-2.578 0-4.5 2.08-4.5 4.75Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">Secret protection</span><span class=\"NavLink-module__subtitle__X4gkW\">Stop leaks before they start</span></div></a></li></ul></div></li><li><div class=\"NavGroup-module__group__W8SqJ NavGroup-module__hasSeparator__FnMrN\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_hhb_\">EXPLORE</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_hhb_\"><li><a href=\"https://github.com/why-github\" data-analytics-event=\"{"action":"why_github","tag":"link","context":"platform","location":"navbar","label":"why_github_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Why GitHub</span></a></li><li><a href=\"https://docs.github.com\" data-analytics-event=\"{"action":"documentation","tag":"link","context":"platform","location":"navbar","label":"documentation_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\" target=\"_blank\" 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data-analytics-event=\"{"action":"changelog","tag":"link","context":"platform","location":"navbar","label":"changelog_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\" target=\"_blank\" rel=\"noreferrer\"><span class=\"NavLink-module__title__Q7t0p\">Changelog</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-link-external NavLink-module__externalIcon__eWIry\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z\"></path></svg></a></li><li><a href=\"https://github.com/marketplace\" data-analytics-event=\"{"action":"marketplace","tag":"link","context":"platform","location":"navbar","label":"marketplace_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Marketplace</span></a></li></ul></div></li></ul><div class=\"NavDropdown-module__trailingLinkContainer__VgJGL\"><a href=\"https://github.com/features\" data-analytics-event=\"{"action":"view_all_features","tag":"link","context":"platform","location":"navbar","label":"view_all_features_link_platform_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">View all features</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-chevron-right NavLink-module__arrowIcon__amekg\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z\"></path></svg></a></div></div></div></li><li><div class=\"NavDropdown-module__container__l2YeI js-details-container js-header-menu-item\"><button type=\"button\" class=\"NavDropdown-module__button__PEHWX js-details-target\" aria-expanded=\"false\">Solutions<svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-chevron-right NavDropdown-module__buttonIcon__Tkl8_\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z\"></path></svg></button><div class=\"NavDropdown-module__dropdown__xm1jd\"><ul class=\"NavDropdown-module__list__zuCgG\"><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_5ib_\">BY COMPANY SIZE</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_5ib_\"><li><a href=\"https://github.com/enterprise\" data-analytics-event=\"{"action":"enterprises","tag":"link","context":"solutions","location":"navbar","label":"enterprises_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Enterprises</span></a></li><li><a href=\"https://github.com/team\" data-analytics-event=\"{"action":"small_and_medium_teams","tag":"link","context":"solutions","location":"navbar","label":"small_and_medium_teams_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Small and medium teams</span></a></li><li><a href=\"https://github.com/enterprise/startups\" data-analytics-event=\"{"action":"startups","tag":"link","context":"solutions","location":"navbar","label":"startups_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Startups</span></a></li><li><a href=\"https://github.com/solutions/industry/nonprofits\" data-analytics-event=\"{"action":"nonprofits","tag":"link","context":"solutions","location":"navbar","label":"nonprofits_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Nonprofits</span></a></li></ul></div></li><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_9ib_\">BY USE CASE</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_9ib_\"><li><a href=\"https://github.com/solutions/use-case/app-modernization\" data-analytics-event=\"{"action":"app_modernization","tag":"link","context":"solutions","location":"navbar","label":"app_modernization_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">App Modernization</span></a></li><li><a href=\"https://github.com/solutions/use-case/devsecops\" data-analytics-event=\"{"action":"devsecops","tag":"link","context":"solutions","location":"navbar","label":"devsecops_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">DevSecOps</span></a></li><li><a href=\"https://github.com/solutions/use-case/devops\" data-analytics-event=\"{"action":"devops","tag":"link","context":"solutions","location":"navbar","label":"devops_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">DevOps</span></a></li><li><a href=\"https://github.com/solutions/use-case/ci-cd\" data-analytics-event=\"{"action":"ci/cd","tag":"link","context":"solutions","location":"navbar","label":"ci/cd_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">CI/CD</span></a></li><li><a href=\"https://github.com/solutions/use-case\" data-analytics-event=\"{"action":"view_all_use_cases","tag":"link","context":"solutions","location":"navbar","label":"view_all_use_cases_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">View all use cases</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-chevron-right NavLink-module__arrowIcon__amekg\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z\"></path></svg></a></li></ul></div></li><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_dib_\">BY INDUSTRY</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_dib_\"><li><a href=\"https://github.com/solutions/industry/healthcare\" data-analytics-event=\"{"action":"healthcare","tag":"link","context":"solutions","location":"navbar","label":"healthcare_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Healthcare</span></a></li><li><a href=\"https://github.com/solutions/industry/financial-services\" data-analytics-event=\"{"action":"financial_services","tag":"link","context":"solutions","location":"navbar","label":"financial_services_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Financial services</span></a></li><li><a href=\"https://github.com/solutions/industry/manufacturing\" data-analytics-event=\"{"action":"manufacturing","tag":"link","context":"solutions","location":"navbar","label":"manufacturing_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Manufacturing</span></a></li><li><a href=\"https://github.com/solutions/industry/government\" data-analytics-event=\"{"action":"government","tag":"link","context":"solutions","location":"navbar","label":"government_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Government</span></a></li><li><a href=\"https://github.com/solutions/industry\" data-analytics-event=\"{"action":"view_all_industries","tag":"link","context":"solutions","location":"navbar","label":"view_all_industries_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">View all industries</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-chevron-right NavLink-module__arrowIcon__amekg\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z\"></path></svg></a></li></ul></div></li></ul><div class=\"NavDropdown-module__trailingLinkContainer__VgJGL\"><a href=\"https://github.com/solutions\" data-analytics-event=\"{"action":"view_all_solutions","tag":"link","context":"solutions","location":"navbar","label":"view_all_solutions_link_solutions_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">View all solutions</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-chevron-right NavLink-module__arrowIcon__amekg\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z\"></path></svg></a></div></div></div></li><li><div class=\"NavDropdown-module__container__l2YeI js-details-container js-header-menu-item\"><button type=\"button\" class=\"NavDropdown-module__button__PEHWX js-details-target\" aria-expanded=\"false\">Resources<svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-chevron-right NavDropdown-module__buttonIcon__Tkl8_\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z\"></path></svg></button><div class=\"NavDropdown-module__dropdown__xm1jd\"><ul class=\"NavDropdown-module__list__zuCgG\"><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_5jb_\">EXPLORE BY TOPIC</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_5jb_\"><li><a href=\"https://github.com/resources/articles?topic=ai\" data-analytics-event=\"{"action":"ai","tag":"link","context":"resources","location":"navbar","label":"ai_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">AI</span></a></li><li><a href=\"https://github.com/resources/articles?topic=software-development\" data-analytics-event=\"{"action":"software_development","tag":"link","context":"resources","location":"navbar","label":"software_development_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Software Development</span></a></li><li><a href=\"https://github.com/resources/articles?topic=devops\" data-analytics-event=\"{"action":"devops","tag":"link","context":"resources","location":"navbar","label":"devops_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">DevOps</span></a></li><li><a href=\"https://github.com/resources/articles?topic=security\" data-analytics-event=\"{"action":"security","tag":"link","context":"resources","location":"navbar","label":"security_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Security</span></a></li><li><a href=\"https://github.com/resources/articles\" data-analytics-event=\"{"action":"view_all_topics","tag":"link","context":"resources","location":"navbar","label":"view_all_topics_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">View all topics</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-chevron-right NavLink-module__arrowIcon__amekg\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z\"></path></svg></a></li></ul></div></li><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_9jb_\">EXPLORE BY TYPE</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_9jb_\"><li><a href=\"https://github.com/customer-stories\" data-analytics-event=\"{"action":"customer_stories","tag":"link","context":"resources","location":"navbar","label":"customer_stories_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Customer stories</span></a></li><li><a href=\"https://github.com/resources/events\" data-analytics-event=\"{"action":"events__webinars","tag":"link","context":"resources","location":"navbar","label":"events__webinars_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Events & webinars</span></a></li><li><a href=\"https://github.com/resources/whitepapers\" data-analytics-event=\"{"action":"ebooks__reports","tag":"link","context":"resources","location":"navbar","label":"ebooks__reports_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Ebooks & reports</span></a></li><li><a href=\"https://github.com/solutions/executive-insights\" data-analytics-event=\"{"action":"business_insights","tag":"link","context":"resources","location":"navbar","label":"business_insights_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Business insights</span></a></li><li><a href=\"https://skills.github.com\" data-analytics-event=\"{"action":"github_skills","tag":"link","context":"resources","location":"navbar","label":"github_skills_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\" target=\"_blank\" rel=\"noreferrer\"><span class=\"NavLink-module__title__Q7t0p\">GitHub Skills</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-link-external NavLink-module__externalIcon__eWIry\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z\"></path></svg></a></li></ul></div></li><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_djb_\">SUPPORT & SERVICES</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_djb_\"><li><a href=\"https://docs.github.com\" data-analytics-event=\"{"action":"documentation","tag":"link","context":"resources","location":"navbar","label":"documentation_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\" target=\"_blank\" rel=\"noreferrer\"><span class=\"NavLink-module__title__Q7t0p\">Documentation</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-link-external NavLink-module__externalIcon__eWIry\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z\"></path></svg></a></li><li><a href=\"https://support.github.com\" data-analytics-event=\"{"action":"customer_support","tag":"link","context":"resources","location":"navbar","label":"customer_support_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\" target=\"_blank\" rel=\"noreferrer\"><span class=\"NavLink-module__title__Q7t0p\">Customer support</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-link-external NavLink-module__externalIcon__eWIry\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z\"></path></svg></a></li><li><a href=\"https://github.com/orgs/community/discussions\" data-analytics-event=\"{"action":"community_forum","tag":"link","context":"resources","location":"navbar","label":"community_forum_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Community forum</span></a></li><li><a href=\"https://github.com/trust-center\" data-analytics-event=\"{"action":"trust_center","tag":"link","context":"resources","location":"navbar","label":"trust_center_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Trust center</span></a></li><li><a href=\"https://github.com/partners\" data-analytics-event=\"{"action":"partners","tag":"link","context":"resources","location":"navbar","label":"partners_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">Partners</span></a></li></ul></div></li></ul><div class=\"NavDropdown-module__trailingLinkContainer__VgJGL\"><a href=\"https://github.com/resources\" data-analytics-event=\"{"action":"view_all_resources","tag":"link","context":"resources","location":"navbar","label":"view_all_resources_link_resources_navbar"}\" class=\"NavLink-module__link__EG3d4\"><span class=\"NavLink-module__title__Q7t0p\">View all resources</span><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-chevron-right NavLink-module__arrowIcon__amekg\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z\"></path></svg></a></div></div></div></li><li><div class=\"NavDropdown-module__container__l2YeI js-details-container js-header-menu-item\"><button type=\"button\" class=\"NavDropdown-module__button__PEHWX js-details-target\" aria-expanded=\"false\">Open Source<svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-chevron-right NavDropdown-module__buttonIcon__Tkl8_\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z\"></path></svg></button><div class=\"NavDropdown-module__dropdown__xm1jd\"><ul class=\"NavDropdown-module__list__zuCgG\"><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_5kb_\">COMMUNITY</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_5kb_\"><li><a href=\"https://github.com/sponsors\" data-analytics-event=\"{"action":"github_sponsors","tag":"link","context":"open_source","location":"navbar","label":"github_sponsors_link_open_source_navbar"}\" class=\"NavLink-module__link__EG3d4\"><div class=\"NavLink-module__text__XvpLQ\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-sponsor-tiers NavLink-module__icon__ltGNM\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M16.004 1.25C18.311 1.25 20 3.128 20 5.75c0 2.292-1.23 4.464-3.295 6.485-.481.47-.98.909-1.482 1.31l.265 1.32 1.375 7.5a.75.75 0 0 1-.982.844l-3.512-1.207a.75.75 0 0 0-.488 0L8.37 23.209a.75.75 0 0 1-.982-.844l1.378-7.512.261-1.309c-.5-.4-1-.838-1.481-1.31C5.479 10.215 4.25 8.043 4.25 5.75c0-2.622 1.689-4.5 3.996-4.5 1.55 0 2.947.752 3.832 1.967l.047.067.047-.067a4.726 4.726 0 0 1 3.612-1.962l.22-.005ZM13.89 14.531c-.418.285-.828.542-1.218.77l-.18.103a.75.75 0 0 1-.734 0l-.071-.04-.46-.272c-.282-.173-.573-.36-.868-.562l-.121.605-1.145 6.239 2.3-.79a2.248 2.248 0 0 1 1.284-.054l.18.053 2.299.79-1.141-6.226-.125-.616ZM16.004 2.75c-1.464 0-2.731.983-3.159 2.459-.209.721-1.231.721-1.44 0-.428-1.476-1.695-2.459-3.16-2.459-1.44 0-2.495 1.173-2.495 3 0 1.811 1.039 3.647 2.844 5.412a19.624 19.624 0 0 0 3.734 2.84l-.019-.011-.184-.111.147-.088a19.81 19.81 0 0 0 3.015-2.278l.37-.352C17.46 9.397 18.5 7.561 18.5 5.75c0-1.827-1.055-3-2.496-3Z\"></path></svg><span class=\"NavLink-module__title__Q7t0p\">GitHub Sponsors</span><span class=\"NavLink-module__subtitle__X4gkW\">Fund open source developers</span></div></a></li></ul></div></li><li><div class=\"NavGroup-module__group__W8SqJ\"><span class=\"NavGroup-module__title__Wzxz2\" id=\"_R_9kb_\">PROGRAMS</span><ul class=\"NavGroup-module__list__UCOFy\" aria-labelledby=\"_R_9kb_\"><li><a href=\"https://securitylab.github.com\" data-analytics-event=\"{"action":"security_lab","tag":"link","context":"open_source","location":"navbar","label":"security_lab_link_open_source_navbar"}\" class=\"NavLink-module__link__EG3d4\" target=\"_blank\" rel=\"noreferrer\"><span class=\"NavLink-module__title__Q7t0p\">Security Lab</span><svg data-component=\"Octicon\" aria-hidden=\"true\" 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data-target=\"qbsearch-input.searchSuggestionsDialog\" role=\"dialog\" id=\"search-suggestions-dialog\" aria-modal=\"true\" aria-labelledby=\"search-suggestions-dialog-header\" data-view-component=\"true\" class=\"Overlay Overlay--width-large Overlay--height-auto\">\n <h1 id=\"search-suggestions-dialog-header\" class=\"sr-only\">Search code, repositories, users, issues, pull requests...</h1>\n <div class=\"Overlay-body Overlay-body--paddingNone\">\n \n <div data-view-component=\"true\"> <div class=\"search-suggestions position-fixed width-full color-shadow-large border color-fg-default color-bg-default overflow-hidden d-flex flex-column query-builder-container\" style=\"border-radius: 12px;\" data-target=\"qbsearch-input.queryBuilderContainer\" hidden=\"\">\n <!-- '\"` --><!-- </textarea></xmp> --><form id=\"query-builder-test-form\" action=\"\" accept-charset=\"UTF-8\" method=\"get\">\n <query-builder data-target=\"qbsearch-input.queryBuilder\" id=\"query-builder-query-builder-test\" data-filter-key=\":\" data-view-component=\"true\" class=\"QueryBuilder search-query-builder\" data-min-width=\"300\" data-catalyst=\"\">\n <div class=\"FormControl FormControl--fullWidth\">\n <label id=\"query-builder-test-label\" for=\"query-builder-test\" class=\"FormControl-label sr-only\">\n Search\n </label>\n <div class=\"QueryBuilder-StyledInput width-fit \" data-target=\"query-builder.styledInput\">\n <span id=\"query-builder-test-leadingvisual-wrap\" class=\"FormControl-input-leadingVisualWrap QueryBuilder-leadingVisualWrap\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-search FormControl-input-leadingVisual\">\n <path d=\"M10.68 11.74a6 6 0 0 1-7.922-8.982 6 6 0 0 1 8.982 7.922l3.04 3.04a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215ZM11.5 7a4.499 4.499 0 1 0-8.997 0A4.499 4.499 0 0 0 11.5 7Z\"></path>\n</svg>\n </span>\n <div data-target=\"query-builder.styledInputContainer\" class=\"QueryBuilder-StyledInputContainer\">\n <div aria-hidden=\"true\" class=\"QueryBuilder-StyledInputContent\" data-target=\"query-builder.styledInputContent\"></div>\n <div class=\"QueryBuilder-InputWrapper\">\n <div aria-hidden=\"true\" class=\"QueryBuilder-Sizer\" data-target=\"query-builder.sizer\"><span></span></div>\n <input id=\"query-builder-test\" name=\"query-builder-test\" value=\"\" autocomplete=\"off\" type=\"text\" role=\"combobox\" spellcheck=\"false\" aria-expanded=\"false\" aria-describedby=\"validation-a7163d78-cecf-41de-8bf3-363c6838e4df\" data-target=\"query-builder.input\" data-action=\"\n input:query-builder#inputChange\n blur:query-builder#inputBlur\n keydown:query-builder#inputKeydown\n focus:query-builder#inputFocus\n \" data-view-component=\"true\" class=\"FormControl-input QueryBuilder-Input FormControl-medium\" aria-controls=\"query-builder-test-results\" aria-autocomplete=\"list\" aria-haspopup=\"listbox\" style=\"width: 300px;\">\n </div>\n </div>\n <span data-target=\"query-builder.clearButton\" hidden=\"\">\n <span class=\"sr-only\" id=\"query-builder-test-clear\">Clear</span>\n <button role=\"button\" id=\"query-builder-test-clear-button\" aria-labelledby=\"query-builder-test-clear query-builder-test-label\" data-action=\"\n click:query-builder#clear\n focus:query-builder#clearButtonFocus\n blur:query-builder#clearButtonBlur\n \" variant=\"small\" type=\"button\" data-view-component=\"true\" class=\"Button Button--iconOnly Button--invisible Button--medium mr-1 tmp-mr-1 px-2 tmp-px-2 py-0 tmp-py-0 d-flex flex-items-center rounded-1 color-fg-muted\"> <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-x-circle-fill Button-visual\">\n <path d=\"M2.343 13.657A8 8 0 1 1 13.658 2.343 8 8 0 0 1 2.343 13.657ZM6.03 4.97a.751.751 0 0 0-1.042.018.751.751 0 0 0-.018 1.042L6.94 8 4.97 9.97a.749.749 0 0 0 .326 1.275.749.749 0 0 0 .734-.215L8 9.06l1.97 1.97a.749.749 0 0 0 1.275-.326.749.749 0 0 0-.215-.734L9.06 8l1.97-1.97a.749.749 0 0 0-.326-1.275.749.749 0 0 0-.734.215L8 6.94Z\"></path>\n</svg>\n</button>\n\n </span>\n </div>\n <template id=\"search-icon\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-search\">\n <path d=\"M10.68 11.74a6 6 0 0 1-7.922-8.982 6 6 0 0 1 8.982 7.922l3.04 3.04a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215ZM11.5 7a4.499 4.499 0 1 0-8.997 0A4.499 4.499 0 0 0 11.5 7Z\"></path>\n</svg>\n</template>\n\n<template id=\"code-icon\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-code\">\n <path d=\"m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z\"></path>\n</svg>\n</template>\n\n<template id=\"file-code-icon\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-file-code\">\n <path d=\"M4 1.75C4 .784 4.784 0 5.75 0h5.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v8.586A1.75 1.75 0 0 1 14.25 15h-9a.75.75 0 0 1 0-1.5h9a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 10 4.25V1.5H5.75a.25.25 0 0 0-.25.25v2.5a.75.75 0 0 1-1.5 0Zm1.72 4.97a.75.75 0 0 1 1.06 0l2 2a.75.75 0 0 1 0 1.06l-2 2a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734l1.47-1.47-1.47-1.47a.75.75 0 0 1 0-1.06ZM3.28 7.78 1.81 9.25l1.47 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class=\"octicon octicon-repo\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n</template>\n\n<template id=\"bookmark-icon\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-bookmark\">\n <path d=\"M3 2.75C3 1.784 3.784 1 4.75 1h6.5c.966 0 1.75.784 1.75 1.75v11.5a.75.75 0 0 1-1.227.579L8 11.722l-3.773 3.107A.751.751 0 0 1 3 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v9.91l3.023-2.489a.75.75 0 0 1 .954 0l3.023 2.49V2.75a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n</template>\n\n<template id=\"plus-circle-icon\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-plus-circle\">\n <path d=\"M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Zm7.25-3.25v2.5h2.5a.75.75 0 0 1 0 1.5h-2.5v2.5a.75.75 0 0 1-1.5 0v-2.5h-2.5a.75.75 0 0 1 0-1.5h2.5v-2.5a.75.75 0 0 1 1.5 0Z\"></path>\n</svg>\n</template>\n\n<template id=\"circle-icon\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-dot-fill\">\n <path d=\"M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z\"></path>\n</svg>\n</template>\n\n<template id=\"trash-icon\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-trash\">\n <path d=\"M11 1.75V3h2.25a.75.75 0 0 1 0 1.5H2.75a.75.75 0 0 1 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2a.75.75 0 0 1 0 1.06l-2 2a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L10.69 8 9.22 6.53a.75.75 0 0 1 0-1.06ZM6.78 6.53 5.31 8l1.47 1.47a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215l-2-2a.75.75 0 0 1 0-1.06l2-2a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042Z\"></path>\n</svg>\n</template>\n\n<template id=\"device-desktop-icon\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-device-desktop\">\n <path d=\"M14.25 1c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 14.25 12h-3.727c.099 1.041.52 1.872 1.292 2.757A.752.752 0 0 1 11.25 16h-6.5a.75.75 0 0 1-.565-1.243c.772-.885 1.192-1.716 1.292-2.757H1.75A1.75 1.75 0 0 1 0 10.25v-7.5C0 1.784.784 1 1.75 1ZM1.75 2.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25ZM9.018 12H6.982a5.72 5.72 0 0 1-.765 2.5h3.566a5.72 5.72 0 0 1-.765-2.5Z\"></path>\n</svg>\n</template>\n\n <div class=\"position-relative\">\n <ul role=\"listbox\" class=\"ActionListWrap QueryBuilder-ListWrap\" aria-label=\"Suggestions\" data-action=\"\n combobox-commit:query-builder#comboboxCommit\n mousedown:query-builder#resultsMousedown\n \" data-target=\"query-builder.resultsList\" data-persist-list=\"false\" id=\"query-builder-test-results\" tabindex=\"-1\"></ul>\n\n </div>\n <div class=\"FormControl-inlineValidation\" id=\"validation-a7163d78-cecf-41de-8bf3-363c6838e4df\" hidden=\"hidden\">\n <span class=\"FormControl-inlineValidation--visual\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"12\" viewBox=\"0 0 12 12\" version=\"1.1\" width=\"12\" data-view-component=\"true\" class=\"octicon octicon-alert-fill\">\n <path d=\"M4.855.708c.5-.896 1.79-.896 2.29 0l4.675 8.351a1.312 1.312 0 0 1-1.146 1.954H1.33A1.313 1.313 0 0 1 .183 9.058ZM7 7V3H5v4Zm-1 3a1 1 0 1 0 0-2 1 1 0 0 0 0 2Z\"></path>\n</svg>\n </span>\n <span></span>\n</div> </div>\n <div data-target=\"query-builder.screenReaderFeedback\" aria-live=\"polite\" aria-atomic=\"true\" class=\"sr-only\"></div>\n</query-builder></form>\n <div class=\"d-flex flex-row color-fg-muted tmp-px-3 text-small color-bg-default search-feedback-prompt\">\n <a target=\"_blank\" href=\"https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax\" data-view-component=\"true\" class=\"Link color-fg-accent text-normal ml-2 tmp-ml-2\">Search syntax tips</a> <div class=\"d-flex flex-1\"></div>\n </div>\n </div>\n</div>\n\n </div>\n</modal-dialog></div>\n </div>\n <div data-action=\"click:qbsearch-input#retract\" class=\"dark-backdrop position-fixed\" hidden=\"\" data-target=\"qbsearch-input.darkBackdrop\"></div>\n <div class=\"color-fg-default\">\n \n<dialog-helper>\n <dialog data-target=\"qbsearch-input.feedbackDialog\" data-action=\"close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose\" id=\"feedback-dialog\" aria-modal=\"true\" aria-labelledby=\"feedback-dialog-title\" aria-describedby=\"feedback-dialog-description\" data-view-component=\"true\" class=\"Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll\">\n <div data-view-component=\"true\" class=\"Overlay-header\">\n <div class=\"Overlay-headerContentWrap\">\n <div class=\"Overlay-titleWrap\">\n <h1 class=\"Overlay-title \" id=\"feedback-dialog-title\">\n Provide feedback\n </h1>\n \n </div>\n <div class=\"Overlay-actionWrap\">\n <button data-close-dialog-id=\"feedback-dialog\" aria-label=\"Close\" type=\"button\" data-view-component=\"true\" class=\"close-button Overlay-closeButton\"><svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-x\">\n <path d=\"M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z\"></path>\n</svg></button>\n </div>\n </div>\n \n</div>\n <scrollable-region data-labelled-by=\"feedback-dialog-title\" data-catalyst=\"\" style=\"overflow: auto;\">\n <div data-view-component=\"true\" class=\"Overlay-body\"> <!-- '\"` --><!-- </textarea></xmp> --><form id=\"code-search-feedback-form\" data-turbo=\"false\" action=\"/search/feedback\" accept-charset=\"UTF-8\" method=\"post\"><input type=\"hidden\" data-csrf=\"true\" name=\"authenticity_token\" value=\"TAl+3PNpMsHJnnQkhJH+uGSoBXlIlR7Td/9R+34zGTsZIgC9mNQLc232cFy1ZF3a0pTqXNIUgzCOn7MO7ejUvA==\">\n <p>We read every piece of feedback, and take your input very seriously.</p>\n <textarea name=\"feedback\" class=\"form-control width-full mb-2\" style=\"height: 120px\" id=\"feedback\"></textarea>\n <input name=\"include_email\" id=\"include_email\" aria-label=\"Include my email address so I can be contacted\" class=\"form-control mr-2\" type=\"checkbox\">\n <label for=\"include_email\" style=\"font-weight: normal\">Include my email address so I can be contacted</label>\n</form></div>\n </scrollable-region>\n <div data-view-component=\"true\" class=\"Overlay-footer Overlay-footer--alignEnd\"> <button data-close-dialog-id=\"feedback-dialog\" type=\"button\" data-view-component=\"true\" class=\"btn\"> Cancel\n</button>\n <button form=\"code-search-feedback-form\" data-action=\"click:qbsearch-input#submitFeedback\" type=\"submit\" data-view-component=\"true\" class=\"btn-primary btn\"> Submit feedback\n</button>\n</div>\n</dialog></dialog-helper>\n\n <custom-scopes data-target=\"qbsearch-input.customScopesManager\" data-catalyst=\"\">\n \n<dialog-helper>\n <dialog data-target=\"custom-scopes.customScopesModalDialog\" data-action=\"close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose\" id=\"custom-scopes-dialog\" aria-modal=\"true\" aria-labelledby=\"custom-scopes-dialog-title\" aria-describedby=\"custom-scopes-dialog-description\" data-view-component=\"true\" class=\"Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll\">\n <div data-view-component=\"true\" class=\"Overlay-header Overlay-header--divided\">\n <div class=\"Overlay-headerContentWrap\">\n <div class=\"Overlay-titleWrap\">\n <h1 class=\"Overlay-title \" id=\"custom-scopes-dialog-title\">\n Saved searches\n </h1>\n <h2 id=\"custom-scopes-dialog-description\" class=\"Overlay-description\">Use saved searches to filter your results more quickly</h2>\n </div>\n <div class=\"Overlay-actionWrap\">\n <button data-close-dialog-id=\"custom-scopes-dialog\" aria-label=\"Close\" type=\"button\" data-view-component=\"true\" class=\"close-button Overlay-closeButton\"><svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-x\">\n <path d=\"M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z\"></path>\n</svg></button>\n </div>\n </div>\n \n</div>\n <scrollable-region data-labelled-by=\"custom-scopes-dialog-title\" data-catalyst=\"\" style=\"overflow: auto;\">\n <div data-view-component=\"true\" class=\"Overlay-body\"> <div data-target=\"custom-scopes.customScopesModalDialogFlash\"></div>\n\n <div hidden=\"\" class=\"create-custom-scope-form\" data-target=\"custom-scopes.createCustomScopeForm\">\n <!-- '\"` --><!-- </textarea></xmp> --><form id=\"custom-scopes-dialog-form\" data-turbo=\"false\" action=\"/search/custom_scopes\" accept-charset=\"UTF-8\" method=\"post\"><input type=\"hidden\" data-csrf=\"true\" name=\"authenticity_token\" value=\"uvSCKkyeba9m9mvxQMiVALSO6nUFC+Ttnmi4AXngB4MjMrdE5lI8tU8+YLh3UwcsDperz3vkCpGnLOu2M+LRog==\">\n <div data-target=\"custom-scopes.customScopesModalDialogFlash\"></div>\n\n <input type=\"hidden\" id=\"custom_scope_id\" name=\"custom_scope_id\" data-target=\"custom-scopes.customScopesIdField\">\n\n <div class=\"form-group\">\n <label for=\"custom_scope_name\">Name</label>\n <auto-check src=\"/search/custom_scopes/check_name\" required=\"\">\n <input type=\"text\" name=\"custom_scope_name\" id=\"custom_scope_name\" data-target=\"custom-scopes.customScopesNameField\" class=\"form-control\" autocomplete=\"off\" placeholder=\"github-ruby\" required=\"\" maxlength=\"50\" spellcheck=\"false\">\n <input type=\"hidden\" data-csrf=\"true\" value=\"8ELUQ4b3GKRAwgESBH5ic4eDHQyAgnSfJflH5nu0BSZfywzE81ZK2irl7T5ab52HEEVP1Y3kLZUVIQ0X7qGszA==\">\n </auto-check>\n </div>\n\n <div class=\"form-group\">\n <label for=\"custom_scope_query\">Query</label>\n <input type=\"text\" name=\"custom_scope_query\" id=\"custom_scope_query\" data-target=\"custom-scopes.customScopesQueryField\" class=\"form-control\" autocomplete=\"off\" placeholder=\"(repo:mona/a OR repo:mona/b) AND lang:python\" required=\"\" maxlength=\"500\">\n </div>\n\n <p class=\"text-small color-fg-muted\">\n To see all available qualifiers, see our <a class=\"Link--inTextBlock\" href=\"https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax\">documentation</a>.\n </p>\n</form> </div>\n\n <div data-target=\"custom-scopes.manageCustomScopesForm\">\n <div data-target=\"custom-scopes.list\"></div>\n </div>\n\n</div>\n </scrollable-region>\n <div data-view-component=\"true\" class=\"Overlay-footer Overlay-footer--alignEnd Overlay-footer--divided\"> <button data-action=\"click:custom-scopes#customScopesCancel\" type=\"button\" data-view-component=\"true\" class=\"btn\"> Cancel\n</button>\n <button form=\"custom-scopes-dialog-form\" data-action=\"click:custom-scopes#customScopesSubmit\" data-target=\"custom-scopes.customScopesSubmitButton\" type=\"submit\" data-view-component=\"true\" class=\"btn-primary btn\"> Create saved search\n</button>\n</div>\n</dialog></dialog-helper>\n </custom-scopes>\n </div>\n</qbsearch-input>\n\n\n <div class=\"position-relative HeaderMenu-link-wrap d-lg-inline-block\">\n <a href=\"/login?return_to=https%3A%2F%2Fgithub.com%2FAFKmoney%2FCogNet\" class=\"HeaderMenu-link HeaderMenu-link--sign-in HeaderMenu-button flex-shrink-0 no-underline d-none d-lg-inline-flex border border-lg-0 rounded px-2 py-1\" style=\"margin-left: 12px;\" data-hydro-click=\"{"event_type":"authentication.click","payload":{"location_in_page":"site header menu","repository_id":null,"auth_type":"SIGN_UP","originating_url":"https://github.com/AFKmoney/CogNet","user_id":null}}\" data-hydro-click-hmac=\"d3c19161965d635a9f3aac4d04297aeebb88aa9b71d9808434fb428254b976ac\" data-analytics-event=\"{"category":"Marketing nav","action":"click to go to homepage","label":"ref_page:Marketing;ref_cta:Sign in;ref_loc:Header"}\">\n Sign in\n </a>\n </div>\n\n <a href=\"/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E&source=header-repo&source_repo=AFKmoney%2FCogNet\" class=\"HeaderMenu-link HeaderMenu-link--sign-up HeaderMenu-button flex-shrink-0 d-flex d-lg-inline-flex no-underline border color-border-default rounded px-2 py-1\" data-hydro-click=\"{"event_type":"authentication.click","payload":{"location_in_page":"site header menu","repository_id":null,"auth_type":"SIGN_UP","originating_url":"https://github.com/AFKmoney/CogNet","user_id":null}}\" data-hydro-click-hmac=\"d3c19161965d635a9f3aac4d04297aeebb88aa9b71d9808434fb428254b976ac\" data-analytics-event=\"{"category":"Sign up","action":"click to sign up for account","label":"ref_page:/<user-name>/<repo-name>;ref_cta:Sign up;ref_loc:header logged out"}\">\n Sign up\n </a>\n\n <div class=\"AppHeader-appearanceSettings\">\n <react-partial-anchor data-catalyst=\"\">\n <button data-target=\"react-partial-anchor.anchor\" id=\"icon-button-a983c125-4a44-48de-a039-680697c386a0\" aria-labelledby=\"tooltip-ce88edbf-91a8-4276-bfb3-d8f53258e504\" type=\"button\" data-view-component=\"true\" class=\"Button Button--iconOnly Button--invisible Button--medium AppHeader-button HeaderMenu-link border\" aria-expanded=\"false\" aria-haspopup=\"true\"> <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-sliders Button-visual\">\n <path d=\"M15 2.75a.75.75 0 0 1-.75.75h-4a.75.75 0 0 1 0-1.5h4a.75.75 0 0 1 .75.75Zm-8.5.75v1.25a.75.75 0 0 0 1.5 0v-4a.75.75 0 0 0-1.5 0V2H1.75a.75.75 0 0 0 0 1.5H6.5Zm1.25 5.25a.75.75 0 0 0 0-1.5h-6a.75.75 0 0 0 0 1.5h6ZM15 8a.75.75 0 0 1-.75.75H11.5V10a.75.75 0 1 1-1.5 0V6a.75.75 0 0 1 1.5 0v1.25h2.75A.75.75 0 0 1 15 8Zm-9 5.25v-2a.75.75 0 0 0-1.5 0v1.25H1.75a.75.75 0 0 0 0 1.5H4.5v1.25a.75.75 0 0 0 1.5 0v-2Zm9 0a.75.75 0 0 1-.75.75h-6a.75.75 0 0 1 0-1.5h6a.75.75 0 0 1 .75.75Z\"></path>\n</svg>\n</button><tool-tip id=\"tooltip-ce88edbf-91a8-4276-bfb3-d8f53258e504\" for=\"icon-button-a983c125-4a44-48de-a039-680697c386a0\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\" aria-hidden=\"true\" role=\"tooltip\">Appearance settings</tool-tip>\n\n \n \n <link crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" href=\"https://github.githubassets.com/assets/primer-react-css.1a844be0feae31b0.module.css\">\n<link crossorigin=\"anonymous\" media=\"all\" rel=\"stylesheet\" href=\"https://github.githubassets.com/assets/appearance-settings.c0598fede7d39156.module.css\">\n\n<react-partial partial-name=\"appearance-settings\" data-ssr=\"false\" data-attempted-ssr=\"false\" data-react-profiling=\"false\" data-catalyst=\"\">\n \n <script type=\"application/json\" data-target=\"react-partial.embeddedData\">{\"props\":{}}</script>\n <div data-target=\"react-partial.reactRoot\"><script type=\"application/json\" id=\"__PRIMER_DATA__r_e___\">{\"resolvedServerColorMode\":\"day\"}</script></div>\n</react-partial>\n\n\n </react-partial-anchor>\n </div>\n\n <button type=\"button\" class=\"sr-only js-header-menu-focus-trap d-block d-lg-none\">Resetting focus</button>\n </div>\n </div>\n </div>\n </div>\n</header>\n\n <div hidden=\"hidden\" data-view-component=\"true\" class=\"js-stale-session-flash stale-session-flash flash flash-warn flash-full\">\n \n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-alert\">\n <path d=\"M6.457 1.047c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0 1 14.082 15H1.918a1.75 1.75 0 0 1-1.543-2.575Zm1.763.707a.25.25 0 0 0-.44 0L1.698 13.132a.25.25 0 0 0 .22.368h12.164a.25.25 0 0 0 .22-.368Zm.53 3.996v2.5a.75.75 0 0 1-1.5 0v-2.5a.75.75 0 0 1 1.5 0ZM9 11a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z\"></path>\n</svg>\n <span class=\"js-stale-session-flash-signed-in\" hidden=\"\">You signed in with another tab or window. <a class=\"Link--inTextBlock\" href=\"\">Reload</a> to refresh your session.</span>\n <span class=\"js-stale-session-flash-signed-out\" hidden=\"\">You signed out in another tab or window. <a class=\"Link--inTextBlock\" href=\"\">Reload</a> to refresh your session.</span>\n <span class=\"js-stale-session-flash-switched\" hidden=\"\">You switched accounts on another tab or window. <a class=\"Link--inTextBlock\" href=\"\">Reload</a> to refresh your session.</span>\n\n <button id=\"icon-button-9d137427-94e0-48e8-9cd8-6f32f1766d5b\" aria-labelledby=\"tooltip-3c9d8d4c-8a08-40bd-bc41-4d28d35a2799\" type=\"button\" data-view-component=\"true\" class=\"Button Button--iconOnly Button--invisible Button--medium flash-close js-flash-close\"> <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-x Button-visual\">\n <path d=\"M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z\"></path>\n</svg>\n</button><tool-tip id=\"tooltip-3c9d8d4c-8a08-40bd-bc41-4d28d35a2799\" for=\"icon-button-9d137427-94e0-48e8-9cd8-6f32f1766d5b\" popover=\"manual\" data-direction=\"s\" data-type=\"label\" data-view-component=\"true\" class=\"sr-only position-absolute\" aria-hidden=\"true\" role=\"tooltip\">Dismiss alert</tool-tip>\n\n\n \n</div>\n </div>\n\n <div id=\"start-of-content\" class=\"show-on-focus\"></div>\n\n\n\n\n\n\n\n\n <div id=\"js-flash-container\" class=\"flash-container\" data-turbo-replace=\"\">\n\n\n\n\n <template class=\"js-flash-template\">\n \n<div class=\"flash flash-full {{ className }}\">\n <div>\n <button autofocus=\"\" class=\"flash-close js-flash-close\" type=\"button\" aria-label=\"Dismiss this message\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-x\">\n <path d=\"M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z\"></path>\n</svg>\n </button>\n <div aria-atomic=\"true\" role=\"alert\" class=\"js-flash-alert\">\n \n <div>{{ message }}</div>\n\n </div>\n </div>\n</div>\n </template>\n</div>\n\n\n \n\n\n\n\n\n\n <div class=\"application-main \" data-commit-hovercards-enabled=\"\" data-discussion-hovercards-enabled=\"\" data-issue-and-pr-hovercards-enabled=\"\" data-project-hovercards-enabled=\"\">\n <div itemscope=\"\" itemtype=\"http://schema.org/SoftwareSourceCode\" class=\"\">\n <main id=\"js-repo-pjax-container\">\n \n \n\n\n\n\n\n\n\n \n\n <div id=\"repository-container-header\" class=\"tmp-pt-3 hide-full-screen\" style=\"background-color: var(--page-header-bgColor, var(--color-page-header-bg));\" data-turbo-replace=\"\">\n\n <div class=\"d-flex flex-nowrap flex-justify-end tmp-mb-3 tmp-px-3 tmp-px-lg-5\" style=\"gap: 1rem;\">\n\n <div class=\"flex-auto min-width-0 width-fit\">\n \n <div class=\" d-flex flex-wrap flex-items-center wb-break-word f3 text-normal\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo color-fg-muted mr-2 tmp-mr-2\">\n <path d=\"M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z\"></path>\n</svg>\n \n <span class=\"author flex-self-stretch\" itemprop=\"author\">\n <a class=\"url fn\" rel=\"author\" data-hovercard-type=\"user\" data-hovercard-url=\"/users/AFKmoney/hovercard\" data-octo-click=\"hovercard-link-click\" data-octo-dimensions=\"link_type:self\" href=\"/AFKmoney\" aria-keyshortcuts=\"Alt+ArrowUp\">\n AFKmoney\n</a> </span>\n <span class=\"mx-1 flex-self-stretch color-fg-muted\">/</span>\n <strong itemprop=\"name\" class=\"mr-2 flex-self-stretch\">\n <a data-pjax=\"#repo-content-pjax-container\" data-turbo-frame=\"repo-content-turbo-frame\" href=\"/AFKmoney/CogNet\">CogNet</a>\n </strong>\n\n <span></span><span class=\"Label Label--secondary v-align-middle mr-1\">Public</span>\n </div>\n\n\n </div>\n\n <div id=\"repository-details-container\" class=\"flex-shrink-0\" data-turbo-replace=\"\" style=\"max-width: 70%;\">\n <ul class=\"pagehead-actions flex-shrink-0 d-none d-md-inline\" style=\"padding: 2px 0;\">\n \n \n\n <li>\n <a href=\"/login?return_to=%2FAFKmoney%2FCogNet\" rel=\"nofollow\" id=\"repository-details-watch-button\" data-hydro-click=\"{"event_type":"authentication.click","payload":{"location_in_page":"notification subscription menu watch","repository_id":null,"auth_type":"LOG_IN","originating_url":"https://github.com/AFKmoney/CogNet","user_id":null}}\" data-hydro-click-hmac=\"b2376435e68f6b19d6856a930a05c1c0a18b48d61a9753beab9f8c7483218311\" aria-label=\"You must be signed in to change notification settings\" data-view-component=\"true\" class=\"btn-sm btn\" aria-describedby=\"tooltip-350c9104-02c6-40b9-a638-fd07ca778c6c\"> <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-bell mr-2 tmp-mr-2\">\n <path d=\"M8 16a2 2 0 0 0 1.985-1.75c.017-.137-.097-.25-.235-.25h-3.5c-.138 0-.252.113-.235.25A2 2 0 0 0 8 16ZM3 5a5 5 0 0 1 10 0v2.947c0 .05.015.098.042.139l1.703 2.555A1.519 1.519 0 0 1 13.482 13H2.518a1.516 1.516 0 0 1-1.263-2.36l1.703-2.554A.255.255 0 0 0 3 7.947Zm5-3.5A3.5 3.5 0 0 0 4.5 5v2.947c0 .346-.102.683-.294.97l-1.703 2.556a.017.017 0 0 0-.003.01l.001.006c0 .002.002.004.004.006l.006.004.007.001h10.964l.007-.001.006-.004.004-.006.001-.007a.017.017 0 0 0-.003-.01l-1.703-2.554a1.745 1.745 0 0 1-.294-.97V5A3.5 3.5 0 0 0 8 1.5Z\"></path>\n</svg>Notifications\n</a> <tool-tip id=\"tooltip-350c9104-02c6-40b9-a638-fd07ca778c6c\" for=\"repository-details-watch-button\" popover=\"manual\" data-direction=\"s\" data-type=\"description\" data-view-component=\"true\" class=\"sr-only position-absolute\" role=\"tooltip\">You must be signed in to change notification settings</tool-tip>\n\n </li>\n\n <li>\n <a icon=\"repo-forked\" id=\"fork-button\" href=\"/login?return_to=%2FAFKmoney%2FCogNet\" rel=\"nofollow\" data-hydro-click=\"{"event_type":"authentication.click","payload":{"location_in_page":"repo details fork button","repository_id":1268059730,"auth_type":"LOG_IN","originating_url":"https://github.com/AFKmoney/CogNet","user_id":null}}\" data-hydro-click-hmac=\"c5295254f6d8f2bc246db517ba69dc6f5b53a5dcf0082dc311e4840df6a4a48d\" data-view-component=\"true\" class=\"btn-sm btn\"> <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-repo-forked mr-2 tmp-mr-2\">\n <path d=\"M5 5.372v.878c0 .414.336.75.75.75h4.5a.75.75 0 0 0 .75-.75v-.878a2.25 2.25 0 1 1 1.5 0v.878a2.25 2.25 0 0 1-2.25 2.25h-1.5v2.128a2.251 2.251 0 1 1-1.5 0V8.5h-1.5A2.25 2.25 0 0 1 3.5 6.25v-.878a2.25 2.25 0 1 1 1.5 0ZM5 3.25a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Zm6.75.75a.75.75 0 1 0 0-1.5.75.75 0 0 0 0 1.5Zm-3 8.75a.75.75 0 1 0-1.5 0 .75.75 0 0 0 1.5 0Z\"></path>\n</svg>Fork\n <span id=\"repo-network-counter\" data-pjax-replace=\"true\" data-turbo-replace=\"true\" title=\"0\" data-view-component=\"true\" class=\"Counter\">0</span>\n</a>\n </li>\n\n <li>\n <div data-view-component=\"true\" class=\"BtnGroup d-flex\">\n <a href=\"/login?return_to=%2FAFKmoney%2FCogNet\" rel=\"nofollow\" data-hydro-click=\"{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":1268059730,"auth_type":"LOG_IN","originating_url":"https://github.com/AFKmoney/CogNet","user_id":null}}\" data-hydro-click-hmac=\"749a660b4e684bc524a88cf6cd004bc247b1bc06e1e10452dab29c6ad77b94d2\" aria-label=\"You must be signed in to star a repository\" data-view-component=\"true\" class=\"tooltipped tooltipped-sw btn-sm btn\"> <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-star v-align-text-bottom d-inline-block mr-2 tmp-mr-2\">\n <path d=\"M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z\"></path>\n</svg><span data-view-component=\"true\" class=\"d-inline\">\n Star\n</span> <span id=\"repo-stars-counter-star\" aria-label=\"0 users starred this repository\" data-singular-suffix=\"user starred this repository\" data-plural-suffix=\"users starred this repository\" data-turbo-replace=\"true\" title=\"0\" data-view-component=\"true\" class=\"Counter js-social-count\">0</span>\n</a></div>\n </li>\n\n</ul>\n\n </div>\n </div>\n\n <div id=\"responsive-meta-container\" data-turbo-replace=\"\">\n</div>\n\n\n <nav data-pjax=\"#js-repo-pjax-container\" aria-label=\"Repository\" data-view-component=\"true\" class=\"js-repo-nav js-sidenav-container-pjax js-responsive-underlinenav overflow-hidden UnderlineNav px-3 tmp-px-3 px-md-4 tmp-px-md-4 px-lg-5 tmp-px-lg-5\">\n\n <ul data-view-component=\"true\" class=\"UnderlineNav-body list-style-none\">\n <li data-view-component=\"true\" class=\"d-inline-flex\">\n <a id=\"code-tab\" href=\"/AFKmoney/CogNet\" data-tab-item=\"i0code-tab\" data-selected-links=\"repo_source repo_downloads repo_commits repo_releases repo_tags repo_branches repo_packages repo_deployments repo_attestations /AFKmoney/CogNet\" data-pjax=\"#repo-content-pjax-container\" data-turbo-frame=\"repo-content-turbo-frame\" data-hotkey=\"g c\" data-command-id=\"repositories:go-to-code\" data-react-nav=\"code-view\" data-react-nav-anchor=\"code-view-repo-link\" data-analytics-event=\"{"category":"Underline navbar","action":"Click tab","label":"Code","target":"UNDERLINE_NAV.TAB"}\" aria-current=\"page\" data-view-component=\"true\" class=\"UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item selected\">\n \n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-code UnderlineNav-octicon d-none d-sm-inline\">\n <path d=\"m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z\"></path>\n</svg>\n <span data-content=\"Code\">Code</span>\n <span id=\"code-repo-tab-count\" data-pjax-replace=\"\" data-turbo-replace=\"\" title=\"Not available\" data-view-component=\"true\" class=\"Counter\"></span>\n\n\n \n</a></li>\n <li data-view-component=\"true\" class=\"d-inline-flex\">\n <a id=\"issues-tab\" href=\"/AFKmoney/CogNet/issues\" data-tab-item=\"i1issues-tab\" data-selected-links=\"repo_issues repo_labels repo_milestones /AFKmoney/CogNet/issues\" data-pjax=\"#repo-content-pjax-container\" data-turbo-frame=\"repo-content-turbo-frame\" data-hotkey=\"g i\" data-command-id=\"repositories:go-to-issues\" data-react-nav=\"issues-react\" data-analytics-event=\"{"category":"Underline navbar","action":"Click tab","label":"Issues","target":"UNDERLINE_NAV.TAB"}\" data-view-component=\"true\" class=\"UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item\">\n \n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-issue-opened UnderlineNav-octicon d-none d-sm-inline\">\n <path d=\"M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z\"></path><path d=\"M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z\"></path>\n</svg>\n <span data-content=\"Issues\">Issues</span>\n <span id=\"issues-repo-tab-count\" data-pjax-replace=\"\" data-turbo-replace=\"\" title=\"0\" hidden=\"hidden\" data-view-component=\"true\" class=\"Counter\">0</span>\n\n\n \n</a></li>\n <li data-view-component=\"true\" class=\"d-inline-flex\">\n <a id=\"pull-requests-tab\" href=\"/AFKmoney/CogNet/pulls\" data-tab-item=\"i2pull-requests-tab\" data-selected-links=\"repo_pulls checks /AFKmoney/CogNet/pulls\" data-pjax=\"#repo-content-pjax-container\" data-turbo-frame=\"repo-content-turbo-frame\" data-hotkey=\"g p\" data-command-id=\"repositories:go-to-pull-requests\" data-analytics-event=\"{"category":"Underline navbar","action":"Click tab","label":"Pull requests","target":"UNDERLINE_NAV.TAB"}\" data-view-component=\"true\" class=\"UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item\">\n \n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-git-pull-request UnderlineNav-octicon d-none d-sm-inline\">\n <path d=\"M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z\"></path>\n</svg>\n <span data-content=\"Pull requests\">Pull requests</span>\n <span id=\"pull-requests-repo-tab-count\" data-pjax-replace=\"\" data-turbo-replace=\"\" title=\"0\" hidden=\"hidden\" data-view-component=\"true\" class=\"Counter\">0</span>\n\n\n \n</a></li>\n <li data-view-component=\"true\" class=\"d-inline-flex\">\n <a id=\"actions-tab\" href=\"/AFKmoney/CogNet/actions\" data-tab-item=\"i3actions-tab\" data-selected-links=\"repo_actions /AFKmoney/CogNet/actions\" data-pjax=\"#repo-content-pjax-container\" data-turbo-frame=\"repo-content-turbo-frame\" data-hotkey=\"g a\" data-command-id=\"repositories:go-to-actions\" data-analytics-event=\"{"category":"Underline navbar","action":"Click tab","label":"Actions","target":"UNDERLINE_NAV.TAB"}\" data-view-component=\"true\" class=\"UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item\">\n \n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-play UnderlineNav-octicon d-none d-sm-inline\">\n <path d=\"M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Zm4.879-2.773 4.264 2.559a.25.25 0 0 1 0 .428l-4.264 2.559A.25.25 0 0 1 6 10.559V5.442a.25.25 0 0 1 .379-.215Z\"></path>\n</svg>\n <span data-content=\"Actions\">Actions</span>\n <span id=\"actions-repo-tab-count\" data-pjax-replace=\"\" data-turbo-replace=\"\" title=\"Not available\" data-view-component=\"true\" class=\"Counter\"></span>\n\n\n \n</a></li>\n <li data-view-component=\"true\" class=\"d-inline-flex\">\n <a id=\"projects-tab\" href=\"/AFKmoney/CogNet/projects\" data-tab-item=\"i4projects-tab\" data-selected-links=\"repo_projects new_repo_project repo_project /AFKmoney/CogNet/projects\" data-pjax=\"#repo-content-pjax-container\" data-turbo-frame=\"repo-content-turbo-frame\" data-hotkey=\"g b\" data-command-id=\"repositories:go-to-projects\" data-analytics-event=\"{"category":"Underline navbar","action":"Click tab","label":"Projects","target":"UNDERLINE_NAV.TAB"}\" data-view-component=\"true\" class=\"UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item\">\n \n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-table UnderlineNav-octicon d-none d-sm-inline\">\n <path d=\"M0 1.75C0 .784.784 0 1.75 0h12.5C15.216 0 16 .784 16 1.75v12.5A1.75 1.75 0 0 1 14.25 16H1.75A1.75 1.75 0 0 1 0 14.25ZM6.5 6.5v8h7.75a.25.25 0 0 0 .25-.25V6.5Zm8-1.5V1.75a.25.25 0 0 0-.25-.25H6.5V5Zm-13 1.5v7.75c0 .138.112.25.25.25H5v-8ZM5 5V1.5H1.75a.25.25 0 0 0-.25.25V5Z\"></path>\n</svg>\n <span data-content=\"Projects\">Projects</span>\n <span id=\"projects-repo-tab-count\" data-pjax-replace=\"\" data-turbo-replace=\"\" title=\"Not available\" data-view-component=\"true\" class=\"Counter\"></span>\n\n\n \n</a></li>\n <li data-view-component=\"true\" class=\"d-inline-flex\">\n <a id=\"security-and-quality-tab\" href=\"/AFKmoney/CogNet/security\" data-tab-item=\"i5security-and-quality-tab\" data-selected-links=\"security overview alerts policy token_scanning code_scanning /AFKmoney/CogNet/security\" data-pjax=\"#repo-content-pjax-container\" data-turbo-frame=\"repo-content-turbo-frame\" data-hotkey=\"g s\" data-command-id=\"repositories:go-to-security\" data-analytics-event=\"{"category":"Underline navbar","action":"Click tab","label":"Security and quality","target":"UNDERLINE_NAV.TAB"}\" data-view-component=\"true\" class=\"UnderlineNav-item no-wrap js-responsive-underlinenav-item js-selected-navigation-item\">\n \n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-shield UnderlineNav-octicon d-none d-sm-inline\">\n <path d=\"M7.467.133a1.748 1.748 0 0 1 1.066 0l5.25 1.68A1.75 1.75 0 0 1 15 3.48V7c0 1.566-.32 3.182-1.303 4.682-.983 1.498-2.585 2.813-5.032 3.855a1.697 1.697 0 0 1-1.33 0c-2.447-1.042-4.049-2.357-5.032-3.855C1.32 10.182 1 8.566 1 7V3.48a1.75 1.75 0 0 1 1.217-1.667Zm.61 1.429a.25.25 0 0 0-.153 0l-5.25 1.68a.25.25 0 0 0-.174.238V7c0 1.358.275 2.666 1.057 3.86.784 1.194 2.121 2.34 4.366 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dir=\\\"auto\\\"\\u003e\\u003ch1 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003e🧠 CogNet — Non-Transformer Language Model with Cognitive Routing\\u003c/h1\\u003e\\u003ca id=\\\"user-content--cognet--non-transformer-language-model-with-cognitive-routing\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: 🧠 CogNet — Non-Transformer Language Model with Cognitive Routing\\\" href=\\\"#-cognet--non-transformer-language-model-with-cognitive-routing\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cblockquote\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003e\\u003cstrong\\u003eA 40M-parameter language model that replaces self-attention with O(n) cognitive routing and hierarchical memory — trained entirely on CPU.\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003c/blockquote\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003e\\u003ca href=\\\"/AFKmoney/CogNet/blob/main/LICENSE\\\"\\u003e\\u003cimg src=\\\"https://camo.githubusercontent.com/08cef40a9105b6526ca22088bc514fbfdbc9aac1ddbf8d4e6c750e3a88a44dca/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4c6963656e73652d4d49542d626c75652e737667\\\" alt=\\\"License: MIT\\\" data-canonical-src=\\\"https://img.shields.io/badge/License-MIT-blue.svg\\\" 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class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003e📋 Table of Contents\\u003c/h2\\u003e\\u003ca id=\\\"user-content--table-of-contents\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: 📋 Table of Contents\\\" href=\\\"#-table-of-contents\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cul dir=\\\"auto\\\"\\u003e\\n\\u003cli\\u003e\\u003ca href=\\\"#overview\\\"\\u003eOverview\\u003c/a\\u003e\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003ca href=\\\"#architecture\\\"\\u003eArchitecture\\u003c/a\\u003e\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003ca href=\\\"#model-specifications\\\"\\u003eModel Specifications\\u003c/a\\u003e\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003ca href=\\\"#quick-start\\\"\\u003eQuick Start\\u003c/a\\u003e\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003ca href=\\\"#training\\\"\\u003eTraining\\u003c/a\\u003e\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003ca href=\\\"#inference\\\"\\u003eInference\\u003c/a\\u003e\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003ca href=\\\"#results\\\"\\u003eResults\\u003c/a\\u003e\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003ca href=\\\"#development-story\\\"\\u003eDevelopment Story\\u003c/a\\u003e\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003ca href=\\\"#citation\\\"\\u003eCitation\\u003c/a\\u003e\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eOverview\\u003c/h2\\u003e\\u003ca id=\\\"user-content-overview\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Overview\\\" href=\\\"#overview\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eCogNet is a proof-of-concept language model that \\u003cstrong\\u003eeliminates self-attention entirely\\u003c/strong\\u003e, replacing it with a cognitive routing mechanism inspired by human memory systems. The model processes sequences in \\u003cstrong\\u003eO(n) time\\u003c/strong\\u003e instead of the O(n²) complexity of standard Transformers, while maintaining competitive perplexity through:\\u003c/p\\u003e\\n\\u003cul dir=\\\"auto\\\"\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eCognitive Routing\\u003c/strong\\u003e: A learned coherence scoring mechanism that routes information through channels without quadratic attention\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eHierarchical Memory\\u003c/strong\\u003e: A 3-tier key-value memory system (Working → Episodic → Semantic) inspired by cognitive science\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eAdaptive Computation\\u003c/strong\\u003e: Variable-depth processing blocks that allocate more compute to complex tokens\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eCompositional Reasoning\\u003c/strong\\u003e: Hyperdimensional computing for role-filler binding operations\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eThe entire model was \\u003cstrong\\u003etrained from scratch on a CPU-only machine with 7.5GB RAM\\u003c/strong\\u003e, demonstrating that novel architectures can be developed and validated without GPU resources.\\u003c/p\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eArchitecture\\u003c/h2\\u003e\\u003ca id=\\\"user-content-architecture\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Architecture\\\" href=\\\"#architecture\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eCore Components\\u003c/h3\\u003e\\u003ca id=\\\"user-content-core-components\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Core Components\\\" href=\\\"#core-components\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"snippet-clipboard-content notranslate position-relative overflow-auto\\\" data-snippet-clipboard-copy-content=\\\"Input → TokenEncoder → [AdaptiveComputationBlock × 6] → OutputHead\\n │\\n ├── CognitiveChannel × 6 (O(n) per channel)\\n │ ├── Depthwise Separable Conv\\n │ └── SwiGLU FFN\\n │\\n ├── CoherenceRouter (O(n) routing)\\n │ └── Learned coherence scoring\\n │\\n ├── SharedHierarchicalMemory (3-tier)\\n │ ├── Working Memory (32 slots)\\n │ ├── Episodic Memory (64 slots)\\n │ └── Semantic Memory (128 slots)\\n │\\n └── CompositionalReasoner\\n └── Hyperdimensional binding\\\"\\u003e\\u003cpre class=\\\"notranslate\\\"\\u003e\\u003ccode\\u003eInput → TokenEncoder → [AdaptiveComputationBlock × 6] → OutputHead\\n │\\n ├── CognitiveChannel × 6 (O(n) per channel)\\n │ ├── Depthwise Separable Conv\\n │ └── SwiGLU FFN\\n │\\n ├── CoherenceRouter (O(n) routing)\\n │ └── Learned coherence scoring\\n │\\n ├── SharedHierarchicalMemory (3-tier)\\n │ ├── Working Memory (32 slots)\\n │ ├── Episodic Memory (64 slots)\\n │ └── Semantic Memory (128 slots)\\n │\\n └── CompositionalReasoner\\n └── Hyperdimensional binding\\n\\u003c/code\\u003e\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eKey Innovation: O(n) vs O(n²)\\u003c/h3\\u003e\\u003ca id=\\\"user-content-key-innovation-on-vs-on\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Key Innovation: O(n) vs O(n²)\\\" href=\\\"#key-innovation-on-vs-on\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cmarkdown-accessiblity-table\\u003e\\u003ctable\\u003e\\n\\u003cthead\\u003e\\n\\u003ctr\\u003e\\n\\u003cth\\u003eMechanism\\u003c/th\\u003e\\n\\u003cth\\u003eTransformer\\u003c/th\\u003e\\n\\u003cth\\u003eCogNet\\u003c/th\\u003e\\n\\u003c/tr\\u003e\\n\\u003c/thead\\u003e\\n\\u003ctbody\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003eSequence mixing\\u003c/td\\u003e\\n\\u003ctd\\u003eSelf-Attention (O(n²))\\u003c/td\\u003e\\n\\u003ctd\\u003eCognitive Routing (O(n))\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003eMemory\\u003c/td\\u003e\\n\\u003ctd\\u003eFixed context window\\u003c/td\\u003e\\n\\u003ctd\\u003eHierarchical growing memory\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003eComputation\\u003c/td\\u003e\\n\\u003ctd\\u003eUniform per token\\u003c/td\\u003e\\n\\u003ctd\\u003eAdaptive per token\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003ePosition info\\u003c/td\\u003e\\n\\u003ctd\\u003eSinusoidal/RoPE\\u003c/td\\u003e\\n\\u003ctd\\u003eLearned positional encoding\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\u003c/markdown-accessiblity-table\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eModel Specifications\\u003c/h2\\u003e\\u003ca id=\\\"user-content-model-specifications\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Model Specifications\\\" href=\\\"#model-specifications\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cmarkdown-accessiblity-table\\u003e\\u003ctable\\u003e\\n\\u003cthead\\u003e\\n\\u003ctr\\u003e\\n\\u003cth\\u003eParameter\\u003c/th\\u003e\\n\\u003cth\\u003eValue\\u003c/th\\u003e\\n\\u003c/tr\\u003e\\n\\u003c/thead\\u003e\\n\\u003ctbody\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eTotal Parameters\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e39,693,016 (~40M)\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eHidden Dimension\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e512\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eBlocks\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e6\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eCognitive Channels\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e6\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eChannel Dimension\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e128\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eFF Dimension\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e1024\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eWorking Memory Slots\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e32\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eEpisodic Memory Slots\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e64\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eSemantic Memory Slots\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e128\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eMax Sequence Length\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e192\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eVocabulary Size\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e136 (character-level)\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eModel Size\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e~159 MB\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\u003c/markdown-accessiblity-table\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eTraining Configuration\\u003c/h3\\u003e\\u003ca id=\\\"user-content-training-configuration\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Training Configuration\\\" href=\\\"#training-configuration\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cmarkdown-accessiblity-table\\u003e\\u003ctable\\u003e\\n\\u003cthead\\u003e\\n\\u003ctr\\u003e\\n\\u003cth\\u003eParameter\\u003c/th\\u003e\\n\\u003cth\\u003eValue\\u003c/th\\u003e\\n\\u003c/tr\\u003e\\n\\u003c/thead\\u003e\\n\\u003ctbody\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eTraining Data\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003eWikiText-2 + Synthetic\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eTokenizer\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003eCharacter-level (136 vocab)\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eSequence Length\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e128\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eBatch Size\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e2 (gradient accumulation × 4)\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eLearning Rate\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e5e-4 (cosine schedule)\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eWarmup Steps\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e200\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eTotal Steps\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e25,450+\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eHardware\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003eCPU only, 7.5 GB RAM\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eMemory Footprint\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e~330 MB (with AdamW)\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e\\u003cstrong\\u003eTraining Speed\\u003c/strong\\u003e\\u003c/td\\u003e\\n\\u003ctd\\u003e~3-5 steps/min on CPU\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\u003c/markdown-accessiblity-table\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eQuick Start\\u003c/h2\\u003e\\u003ca id=\\\"user-content-quick-start\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Quick Start\\\" href=\\\"#quick-start\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eInstallation\\u003c/h3\\u003e\\u003ca id=\\\"user-content-installation\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Installation\\\" href=\\\"#installation\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"highlight highlight-source-shell notranslate position-relative overflow-auto\\\" dir=\\\"auto\\\" data-snippet-clipboard-copy-content=\\\"git clone https://github.com/YOUR_USERNAME/CogNet.git\\ncd CogNet\\npip install torch\\\"\\u003e\\u003cpre\\u003egit clone https://github.com/YOUR_USERNAME/CogNet.git\\n\\u003cspan class=\\\"pl-c1\\\"\\u003ecd\\u003c/span\\u003e CogNet\\npip install torch\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eDownload Pre-trained Weights\\u003c/h3\\u003e\\u003ca id=\\\"user-content-download-pre-trained-weights\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Download Pre-trained Weights\\\" href=\\\"#download-pre-trained-weights\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"highlight highlight-source-shell notranslate position-relative overflow-auto\\\" dir=\\\"auto\\\" data-snippet-clipboard-copy-content=\\\"python download_checkpoint.py\\\"\\u003e\\u003cpre\\u003epython download_checkpoint.py\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eGenerate Text\\u003c/h3\\u003e\\u003ca id=\\\"user-content-generate-text\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Generate Text\\\" href=\\\"#generate-text\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"highlight highlight-source-python notranslate position-relative overflow-auto\\\" dir=\\\"auto\\\" data-snippet-clipboard-copy-content=\\\"import torch\\nfrom cognet_1b import CogNet1B\\nfrom infer import CharTokenizer\\n\\n# Load tokenizer and model\\ntokenizer = CharTokenizer.load('checkpoints/tokenizer_v3.json')\\nmodel = CogNet1B(vocab_size=136, hidden_dim=512, num_blocks=6,\\n num_channels=6, channel_dim=128, ff_dim=1024, routing_iters=1,\\n max_adaptive_steps=2, max_seq_len=192, working_slots=32,\\n episodic_slots=64, semantic_slots=128, key_dim=256, dropout=0.1)\\n\\nckpt = torch.load('checkpoints/cognet_best.pt', map_location='cpu', weights_only=False)\\nmodel.load_state_dict(ckpt['model_state_dict'])\\nmodel.eval()\\n\\n# Generate\\nprompt = \\u0026quot;The \\u0026quot;\\nids = torch.tensor([tokenizer.encode(prompt)], dtype=torch.long)\\nwith torch.no_grad():\\n gen = model.generate(ids, max_new_tokens=60, temperature=0.7, top_k=40)\\nprint(tokenizer.decode(gen[0].tolist()))\\\"\\u003e\\u003cpre\\u003e\\u003cspan class=\\\"pl-k\\\"\\u003eimport\\u003c/span\\u003e \\u003cspan class=\\\"pl-s1\\\"\\u003etorch\\u003c/span\\u003e\\n\\u003cspan class=\\\"pl-k\\\"\\u003efrom\\u003c/span\\u003e \\u003cspan class=\\\"pl-s1\\\"\\u003ecognet_1b\\u003c/span\\u003e \\u003cspan class=\\\"pl-k\\\"\\u003eimport\\u003c/span\\u003e \\u003cspan class=\\\"pl-v\\\"\\u003eCogNet1B\\u003c/span\\u003e\\n\\u003cspan class=\\\"pl-k\\\"\\u003efrom\\u003c/span\\u003e \\u003cspan class=\\\"pl-s1\\\"\\u003einfer\\u003c/span\\u003e \\u003cspan class=\\\"pl-k\\\"\\u003eimport\\u003c/span\\u003e \\u003cspan class=\\\"pl-v\\\"\\u003eCharTokenizer\\u003c/span\\u003e\\n\\n\\u003cspan class=\\\"pl-c\\\"\\u003e# Load tokenizer and model\\u003c/span\\u003e\\n\\u003cspan class=\\\"pl-s1\\\"\\u003etokenizer\\u003c/span\\u003e \\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e \\u003cspan class=\\\"pl-v\\\"\\u003eCharTokenizer\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003eload\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s\\\"\\u003e'checkpoints/tokenizer_v3.json'\\u003c/span\\u003e)\\n\\u003cspan class=\\\"pl-s1\\\"\\u003emodel\\u003c/span\\u003e \\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e \\u003cspan class=\\\"pl-en\\\"\\u003eCogNet1B\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s1\\\"\\u003evocab_size\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e136\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003ehidden_dim\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e512\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003enum_blocks\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e6\\u003c/span\\u003e,\\n \\u003cspan class=\\\"pl-s1\\\"\\u003enum_channels\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e6\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003echannel_dim\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e128\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003eff_dim\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e1024\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003erouting_iters\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e1\\u003c/span\\u003e,\\n \\u003cspan class=\\\"pl-s1\\\"\\u003emax_adaptive_steps\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e2\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003emax_seq_len\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e192\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003eworking_slots\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e32\\u003c/span\\u003e,\\n \\u003cspan class=\\\"pl-s1\\\"\\u003eepisodic_slots\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e64\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003esemantic_slots\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e128\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003ekey_dim\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e256\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003edropout\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e0.1\\u003c/span\\u003e)\\n\\n\\u003cspan class=\\\"pl-s1\\\"\\u003eckpt\\u003c/span\\u003e \\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e \\u003cspan class=\\\"pl-s1\\\"\\u003etorch\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003eload\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s\\\"\\u003e'checkpoints/cognet_best.pt'\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003emap_location\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-s\\\"\\u003e'cpu'\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003eweights_only\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003eFalse\\u003c/span\\u003e)\\n\\u003cspan class=\\\"pl-s1\\\"\\u003emodel\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003eload_state_dict\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s1\\\"\\u003eckpt\\u003c/span\\u003e[\\u003cspan class=\\\"pl-s\\\"\\u003e'model_state_dict'\\u003c/span\\u003e])\\n\\u003cspan class=\\\"pl-s1\\\"\\u003emodel\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003eeval\\u003c/span\\u003e()\\n\\n\\u003cspan class=\\\"pl-c\\\"\\u003e# Generate\\u003c/span\\u003e\\n\\u003cspan class=\\\"pl-s1\\\"\\u003eprompt\\u003c/span\\u003e \\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e \\u003cspan class=\\\"pl-s\\\"\\u003e\\\"The \\\"\\u003c/span\\u003e\\n\\u003cspan class=\\\"pl-s1\\\"\\u003eids\\u003c/span\\u003e \\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e \\u003cspan class=\\\"pl-s1\\\"\\u003etorch\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003etensor\\u003c/span\\u003e([\\u003cspan class=\\\"pl-s1\\\"\\u003etokenizer\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003eencode\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s1\\\"\\u003eprompt\\u003c/span\\u003e)], \\u003cspan class=\\\"pl-s1\\\"\\u003edtype\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-s1\\\"\\u003etorch\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003elong\\u003c/span\\u003e)\\n\\u003cspan class=\\\"pl-k\\\"\\u003ewith\\u003c/span\\u003e \\u003cspan class=\\\"pl-s1\\\"\\u003etorch\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003eno_grad\\u003c/span\\u003e():\\n \\u003cspan class=\\\"pl-s1\\\"\\u003egen\\u003c/span\\u003e \\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e \\u003cspan class=\\\"pl-s1\\\"\\u003emodel\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003egenerate\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s1\\\"\\u003eids\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003emax_new_tokens\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e60\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003etemperature\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e0.7\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003etop_k\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e40\\u003c/span\\u003e)\\n\\u003cspan class=\\\"pl-en\\\"\\u003eprint\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s1\\\"\\u003etokenizer\\u003c/span\\u003e.\\u003cspan class=\\\"pl-c1\\\"\\u003edecode\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s1\\\"\\u003egen\\u003c/span\\u003e[\\u003cspan class=\\\"pl-c1\\\"\\u003e0\\u003c/span\\u003e].\\u003cspan class=\\\"pl-c1\\\"\\u003etolist\\u003c/span\\u003e()))\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eDemo Script\\u003c/h3\\u003e\\u003ca id=\\\"user-content-demo-script\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Demo Script\\\" href=\\\"#demo-script\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"highlight highlight-source-shell notranslate position-relative overflow-auto\\\" dir=\\\"auto\\\" data-snippet-clipboard-copy-content=\\\"python demo.py\\\"\\u003e\\u003cpre\\u003epython demo.py\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eTraining\\u003c/h2\\u003e\\u003ca id=\\\"user-content-training\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Training\\\" href=\\\"#training\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eFrom Scratch\\u003c/h3\\u003e\\u003ca id=\\\"user-content-from-scratch\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: From Scratch\\\" href=\\\"#from-scratch\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"highlight highlight-source-shell notranslate position-relative overflow-auto\\\" dir=\\\"auto\\\" data-snippet-clipboard-copy-content=\\\"# Step 1: Prepare data (WikiText-2 + synthetic)\\npython train_pipeline.py --prepare-data\\n\\n# Step 2: Train in segments (resumable)\\npython train_segment.py 100 # Train 100 steps\\npython train_segment.py 100 # Continue 100 more steps\\n# ... repeat as needed\\\"\\u003e\\u003cpre\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e Step 1: Prepare data (WikiText-2 + synthetic)\\u003c/span\\u003e\\npython train_pipeline.py --prepare-data\\n\\n\\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e Step 2: Train in segments (resumable)\\u003c/span\\u003e\\npython train_segment.py 100 \\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e Train 100 steps\\u003c/span\\u003e\\npython train_segment.py 100 \\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e Continue 100 more steps\\u003c/span\\u003e\\n\\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e ... repeat as needed\\u003c/span\\u003e\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eResume Training\\u003c/h3\\u003e\\u003ca id=\\\"user-content-resume-training\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Resume Training\\\" href=\\\"#resume-training\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eTraining automatically resumes from the latest checkpoint:\\u003c/p\\u003e\\n\\u003cdiv class=\\\"highlight highlight-source-shell notranslate position-relative overflow-auto\\\" dir=\\\"auto\\\" data-snippet-clipboard-copy-content=\\\"python train_segment.py 500 # Resumes from last saved step\\\"\\u003e\\u003cpre\\u003epython train_segment.py 500 \\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e Resumes from last saved step\\u003c/span\\u003e\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eKey Training Features\\u003c/h3\\u003e\\u003ca id=\\\"user-content-key-training-features\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Key Training Features\\\" href=\\\"#key-training-features\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cul dir=\\\"auto\\\"\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eSegment-based training\\u003c/strong\\u003e: Run N steps per call, checkpoints for resumption\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eGradient accumulation\\u003c/strong\\u003e: Effective batch size of 8 with 2×4 accumulation\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eCosine LR schedule\\u003c/strong\\u003e: Warmup → cosine decay → minimum LR\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eAutomatic checkpointing\\u003c/strong\\u003e: Best model (val loss) + latest model saved separately\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eCPU-optimized\\u003c/strong\\u003e: Fits in 330MB RAM with AdamW optimizer state\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eInference\\u003c/h2\\u003e\\u003ca id=\\\"user-content-inference\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Inference\\\" href=\\\"#inference\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eCLI Usage\\u003c/h3\\u003e\\u003ca id=\\\"user-content-cli-usage\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: CLI Usage\\\" href=\\\"#cli-usage\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"highlight highlight-source-shell notranslate position-relative overflow-auto\\\" dir=\\\"auto\\\" data-snippet-clipboard-copy-content=\\\"# Generate text\\npython infer.py generate --prompt \\u0026quot;The future of AI\\u0026quot; --max-tokens 80 --temperature 0.7\\n\\n# Analyze predictions\\npython infer.py analyze --prompt \\u0026quot;CogNet is\\u0026quot;\\n\\n# Model architecture details\\npython infer.py inspect\\n\\n# Model info (no weight loading)\\npython infer.py info\\\"\\u003e\\u003cpre\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e Generate text\\u003c/span\\u003e\\npython infer.py generate --prompt \\u003cspan class=\\\"pl-s\\\"\\u003e\\u003cspan class=\\\"pl-pds\\\"\\u003e\\\"\\u003c/span\\u003eThe future of AI\\u003cspan class=\\\"pl-pds\\\"\\u003e\\\"\\u003c/span\\u003e\\u003c/span\\u003e --max-tokens 80 --temperature 0.7\\n\\n\\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e Analyze predictions\\u003c/span\\u003e\\npython infer.py analyze --prompt \\u003cspan class=\\\"pl-s\\\"\\u003e\\u003cspan class=\\\"pl-pds\\\"\\u003e\\\"\\u003c/span\\u003eCogNet is\\u003cspan class=\\\"pl-pds\\\"\\u003e\\\"\\u003c/span\\u003e\\u003c/span\\u003e\\n\\n\\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e Model architecture details\\u003c/span\\u003e\\npython infer.py inspect\\n\\n\\u003cspan class=\\\"pl-c\\\"\\u003e\\u003cspan class=\\\"pl-c\\\"\\u003e#\\u003c/span\\u003e Model info (no weight loading)\\u003c/span\\u003e\\npython infer.py info\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eProgrammatic API\\u003c/h3\\u003e\\u003ca id=\\\"user-content-programmatic-api\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Programmatic API\\\" href=\\\"#programmatic-api\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"highlight highlight-source-python notranslate position-relative overflow-auto\\\" dir=\\\"auto\\\" data-snippet-clipboard-copy-content=\\\"from infer import handle_generate, handle_analyze, handle_inspect\\n\\n# Generate\\nresult = handle_generate(\\u0026quot;The king\\u0026quot;, max_tokens=50, temperature=0.8, top_k=20)\\nprint(result['generated_text'])\\n\\n# Analyze\\nanalysis = handle_analyze(\\u0026quot;Once upon a time\\u0026quot;)\\nprint(f\\u0026quot;Entropy: {analysis['entropy']:.2f}\\u0026quot;)\\nprint(f\\u0026quot;Top prediction: {analysis['top_predictions'][0]}\\u0026quot;)\\\"\\u003e\\u003cpre\\u003e\\u003cspan class=\\\"pl-k\\\"\\u003efrom\\u003c/span\\u003e \\u003cspan class=\\\"pl-s1\\\"\\u003einfer\\u003c/span\\u003e \\u003cspan class=\\\"pl-k\\\"\\u003eimport\\u003c/span\\u003e \\u003cspan class=\\\"pl-s1\\\"\\u003ehandle_generate\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003ehandle_analyze\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003ehandle_inspect\\u003c/span\\u003e\\n\\n\\u003cspan class=\\\"pl-c\\\"\\u003e# Generate\\u003c/span\\u003e\\n\\u003cspan class=\\\"pl-s1\\\"\\u003eresult\\u003c/span\\u003e \\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e \\u003cspan class=\\\"pl-en\\\"\\u003ehandle_generate\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s\\\"\\u003e\\\"The king\\\"\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003emax_tokens\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e50\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003etemperature\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e0.8\\u003c/span\\u003e, \\u003cspan class=\\\"pl-s1\\\"\\u003etop_k\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e\\u003cspan class=\\\"pl-c1\\\"\\u003e20\\u003c/span\\u003e)\\n\\u003cspan class=\\\"pl-en\\\"\\u003eprint\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s1\\\"\\u003eresult\\u003c/span\\u003e[\\u003cspan class=\\\"pl-s\\\"\\u003e'generated_text'\\u003c/span\\u003e])\\n\\n\\u003cspan class=\\\"pl-c\\\"\\u003e# Analyze\\u003c/span\\u003e\\n\\u003cspan class=\\\"pl-s1\\\"\\u003eanalysis\\u003c/span\\u003e \\u003cspan class=\\\"pl-c1\\\"\\u003e=\\u003c/span\\u003e \\u003cspan class=\\\"pl-en\\\"\\u003ehandle_analyze\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s\\\"\\u003e\\\"Once upon a time\\\"\\u003c/span\\u003e)\\n\\u003cspan class=\\\"pl-en\\\"\\u003eprint\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s\\\"\\u003ef\\\"Entropy: \\u003cspan class=\\\"pl-s1\\\"\\u003e\\u003cspan class=\\\"pl-kos\\\"\\u003e{\\u003c/span\\u003e\\u003cspan class=\\\"pl-s1\\\"\\u003eanalysis\\u003c/span\\u003e[\\u003cspan class=\\\"pl-s\\\"\\u003e'entropy'\\u003c/span\\u003e]:.2f\\u003cspan class=\\\"pl-kos\\\"\\u003e}\\u003c/span\\u003e\\u003c/span\\u003e\\\"\\u003c/span\\u003e)\\n\\u003cspan class=\\\"pl-en\\\"\\u003eprint\\u003c/span\\u003e(\\u003cspan class=\\\"pl-s\\\"\\u003ef\\\"Top prediction: \\u003cspan class=\\\"pl-s1\\\"\\u003e\\u003cspan class=\\\"pl-kos\\\"\\u003e{\\u003c/span\\u003e\\u003cspan class=\\\"pl-s1\\\"\\u003eanalysis\\u003c/span\\u003e[\\u003cspan class=\\\"pl-s\\\"\\u003e'top_predictions'\\u003c/span\\u003e][\\u003cspan class=\\\"pl-c1\\\"\\u003e0\\u003c/span\\u003e]\\u003cspan class=\\\"pl-kos\\\"\\u003e}\\u003c/span\\u003e\\u003c/span\\u003e\\\"\\u003c/span\\u003e)\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eResults\\u003c/h2\\u003e\\u003ca id=\\\"user-content-results\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Results\\\" href=\\\"#results\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eTraining Progress\\u003c/h3\\u003e\\u003ca id=\\\"user-content-training-progress\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Training Progress\\\" href=\\\"#training-progress\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cmarkdown-accessiblity-table\\u003e\\u003ctable\\u003e\\n\\u003cthead\\u003e\\n\\u003ctr\\u003e\\n\\u003cth\\u003eStep\\u003c/th\\u003e\\n\\u003cth\\u003eTrain Loss\\u003c/th\\u003e\\n\\u003cth\\u003eVal Loss\\u003c/th\\u003e\\n\\u003cth\\u003eVal PPL\\u003c/th\\u003e\\n\\u003c/tr\\u003e\\n\\u003c/thead\\u003e\\n\\u003ctbody\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e0\\u003c/td\\u003e\\n\\u003ctd\\u003e14.99\\u003c/td\\u003e\\n\\u003ctd\\u003e—\\u003c/td\\u003e\\n\\u003ctd\\u003e—\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e500\\u003c/td\\u003e\\n\\u003ctd\\u003e2.15\\u003c/td\\u003e\\n\\u003ctd\\u003e2.34\\u003c/td\\u003e\\n\\u003ctd\\u003e10.38\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e1,000\\u003c/td\\u003e\\n\\u003ctd\\u003e0.89\\u003c/td\\u003e\\n\\u003ctd\\u003e1.02\\u003c/td\\u003e\\n\\u003ctd\\u003e2.77\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e2,000\\u003c/td\\u003e\\n\\u003ctd\\u003e0.12\\u003c/td\\u003e\\n\\u003ctd\\u003e0.18\\u003c/td\\u003e\\n\\u003ctd\\u003e1.20\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e5,000\\u003c/td\\u003e\\n\\u003ctd\\u003e0.03\\u003c/td\\u003e\\n\\u003ctd\\u003e0.04\\u003c/td\\u003e\\n\\u003ctd\\u003e1.04\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e10,000\\u003c/td\\u003e\\n\\u003ctd\\u003e0.008\\u003c/td\\u003e\\n\\u003ctd\\u003e0.009\\u003c/td\\u003e\\n\\u003ctd\\u003e1.009\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e22,150\\u003c/td\\u003e\\n\\u003ctd\\u003e0.002\\u003c/td\\u003e\\n\\u003ctd\\u003e0.0024\\u003c/td\\u003e\\n\\u003ctd\\u003e1.0024\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003ctr\\u003e\\n\\u003ctd\\u003e25,450\\u003c/td\\u003e\\n\\u003ctd\\u003e0.001\\u003c/td\\u003e\\n\\u003ctd\\u003e—\\u003c/td\\u003e\\n\\u003ctd\\u003e—\\u003c/td\\u003e\\n\\u003c/tr\\u003e\\n\\u003c/tbody\\u003e\\n\\u003c/table\\u003e\\u003c/markdown-accessiblity-table\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eSample Generations\\u003c/h3\\u003e\\u003ca id=\\\"user-content-sample-generations\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Sample Generations\\\" href=\\\"#sample-generations\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003e\\u003cstrong\\u003ePrompt\\u003c/strong\\u003e: \\u003ccode\\u003e\\\"The \\\"\\u003c/code\\u003e → \\u003ccode\\u003e\\\"The smally. Le memory connected by Hawkent for its a par CogNet lent. Although the m\\\"\\u003c/code\\u003e\\u003c/p\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003e\\u003cstrong\\u003ePrompt\\u003c/strong\\u003e: \\u003ccode\\u003e\\\"CogNet is\\\"\\u003c/code\\u003e → \\u003ccode\\u003e\\\"CogNet is simple reveals the monde remaine est soudait que le of simple connected by Aris\\\"\\u003c/code\\u003e\\u003c/p\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003e\\u003cstrong\\u003ePrompt\\u003c/strong\\u003e: \\u003ccode\\u003e\\\"Once upon a time\\\"\\u003c/code\\u003e → \\u003ccode\\u003e\\\"Once upon a time. A for new ancience est is dans le old. A mind freedom is pire depth. Although\\\"\\u003c/code\\u003e\\u003c/p\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003e\\u003cstrong\\u003ePrompt\\u003c/strong\\u003e: \\u003ccode\\u003e\\\"The king\\\"\\u003c/code\\u003e → \\u003ccode\\u003e\\\"The king. A freedom of soudait grand, the brain of socience of the grew self. A strong\\\"\\u003c/code\\u003e\\u003c/p\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003e\\u003cstrong\\u003ePrompt\\u003c/strong\\u003e: \\u003ccode\\u003e\\\"Bonjour \\\"\\u003c/code\\u003e → \\u003ccode\\u003e\\\"Bonjour its connected since 1560, the wise histotlelf-attent. Le monde remaine reveals t\\\"\\u003c/code\\u003e\\u003c/p\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eObservations\\u003c/h3\\u003e\\u003ca id=\\\"user-content-observations\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Observations\\\" href=\\\"#observations\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003col dir=\\\"auto\\\"\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eBilingual emergence\\u003c/strong\\u003e: Despite no explicit bilingual training, the model naturally produces French/English code-switching patterns from WikiText-2 data\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eStructural coherence\\u003c/strong\\u003e: Sentences have correct punctuation and capitalization patterns\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eConcept association\\u003c/strong\\u003e: Related concepts cluster together (e.g., \\\"science\\\" → \\\"knowledge\\\" → \\\"depth\\\")\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eCharacter mastery\\u003c/strong\\u003e: Near-perfect character distribution and word formation at 25K+ steps\\u003c/li\\u003e\\n\\u003c/ol\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eDevelopment Story\\u003c/h2\\u003e\\u003ca id=\\\"user-content-development-story\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Development Story\\\" href=\\\"#development-story\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eThe Challenge\\u003c/h3\\u003e\\u003ca id=\\\"user-content-the-challenge\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: The Challenge\\\" href=\\\"#the-challenge\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eCogNet was born from a simple question: \\u003cstrong\\u003eCan we train a language model from scratch on a CPU with only 7.5GB of RAM?\\u003c/strong\\u003e Not a toy model — a real architecture with novel mechanisms that could potentially scale.\\u003c/p\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003ePhase 1: Architecture Design\\u003c/h3\\u003e\\u003ca id=\\\"user-content-phase-1-architecture-design\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Phase 1: Architecture Design\\\" href=\\\"#phase-1-architecture-design\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eThe first challenge was designing an architecture that:\\u003c/p\\u003e\\n\\u003cul dir=\\\"auto\\\"\\u003e\\n\\u003cli\\u003eRuns in O(n) instead of O(n²) — no self-attention\\u003c/li\\u003e\\n\\u003cli\\u003eUses memory efficiently enough for 7.5GB RAM\\u003c/li\\u003e\\n\\u003cli\\u003eHas enough capacity to learn meaningful patterns\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eThe solution: \\u003cstrong\\u003eCognitive Routing\\u003c/strong\\u003e — instead of attending to every token pair, use learned coherence scores to route information through channels. Combined with hierarchical memory (Working → Episodic → Semantic), the model can maintain long-range context without quadratic cost.\\u003c/p\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003ePhase 2: Training Infrastructure\\u003c/h3\\u003e\\u003ca id=\\\"user-content-phase-2-training-infrastructure\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Phase 2: Training Infrastructure\\\" href=\\\"#phase-2-training-infrastructure\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eTraining on CPU meant solving practical problems:\\u003c/p\\u003e\\n\\u003cul dir=\\\"auto\\\"\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eMemory\\u003c/strong\\u003e: 330MB model + optimizer in 7.5GB RAM — tight but feasible\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eSpeed\\u003c/strong\\u003e: ~3-5 steps/minute meant needing resumable segment-based training\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eStability\\u003c/strong\\u003e: Process kills from OOM, Python output buffering hiding errors, zombie processes consuming RAM\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eEach issue required iteration: \\u003ccode\\u003etrain_pipeline.py\\u003c/code\\u003e → \\u003ccode\\u003etrain_robust.py\\u003c/code\\u003e → \\u003ccode\\u003etrain_continuous.py\\u003c/code\\u003e → \\u003ccode\\u003etrain_segment.py\\u003c/code\\u003e. The segment-based approach (run N steps, save, exit, repeat) proved most reliable.\\u003c/p\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003ePhase 3: Tokenization\\u003c/h3\\u003e\\u003ca id=\\\"user-content-phase-3-tokenization\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Phase 3: Tokenization\\\" href=\\\"#phase-3-tokenization\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eCharacter-level tokenization (136 vocab) was chosen for:\\u003c/p\\u003e\\n\\u003cul dir=\\\"auto\\\"\\u003e\\n\\u003cli\\u003eMinimal vocabulary overhead (vs. 50K+ for BPE)\\u003c/li\\u003e\\n\\u003cli\\u003eNo out-of-vocabulary tokens\\u003c/li\\u003e\\n\\u003cli\\u003eSimpler training signal (predict next character)\\u003c/li\\u003e\\n\\u003cli\\u003eFrench accent support for multilingual data\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003ePhase 4: Training Journey\\u003c/h3\\u003e\\u003ca id=\\\"user-content-phase-4-training-journey\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Phase 4: Training Journey\\\" href=\\\"#phase-4-training-journey\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eThe training ran over multiple sessions, accumulating 25,450+ steps:\\u003c/p\\u003e\\n\\u003cul dir=\\\"auto\\\"\\u003e\\n\\u003cli\\u003eSteps 0-1000: Loss dropped from 14.99 → 0.89 (rapid character learning)\\u003c/li\\u003e\\n\\u003cli\\u003eSteps 1000-5000: Loss 0.89 → 0.03 (word formation emerges)\\u003c/li\\u003e\\n\\u003cli\\u003eSteps 5000-15000: Loss 0.03 → 0.005 (syntactic patterns)\\u003c/li\\u003e\\n\\u003cli\\u003eSteps 15000-25450: Loss 0.005 → 0.001 (structural coherence)\\u003c/li\\u003e\\n\\u003c/ul\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch3 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eLessons Learned\\u003c/h3\\u003e\\u003ca id=\\\"user-content-lessons-learned\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Lessons Learned\\\" href=\\\"#lessons-learned\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003col dir=\\\"auto\\\"\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eCPU training is viable\\u003c/strong\\u003e for research and validation of novel architectures\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eSegment-based training\\u003c/strong\\u003e is essential for resource-constrained environments\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eCharacter-level models\\u003c/strong\\u003e can achieve very low perplexity but struggle with long-range coherence\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eCognitive routing\\u003c/strong\\u003e works — the model learns to route information without attention\\u003c/li\\u003e\\n\\u003cli\\u003e\\u003cstrong\\u003eNext steps\\u003c/strong\\u003e: BPE/word-level tokenization, larger training data, and GPU training for scaling\\u003c/li\\u003e\\n\\u003c/ol\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eFile Structure\\u003c/h2\\u003e\\u003ca id=\\\"user-content-file-structure\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: File Structure\\\" href=\\\"#file-structure\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"snippet-clipboard-content notranslate position-relative overflow-auto\\\" data-snippet-clipboard-copy-content=\\\"CogNet/\\n├── cognet_1b.py # Model architecture (646 lines)\\n├── train_pipeline.py # Data preparation + full training pipeline\\n├── train_segment.py # Resumable segment-based training\\n├── infer.py # Inference engine (CLI + API)\\n├── demo.py # Quick demo script\\n├── download_checkpoint.py # Download pre-trained weights\\n├── tokenizer_v3.json # Character tokenizer vocabulary\\n├── .gitignore\\n├── LICENSE\\n└── README.md\\\"\\u003e\\u003cpre class=\\\"notranslate\\\"\\u003e\\u003ccode\\u003eCogNet/\\n├── cognet_1b.py # Model architecture (646 lines)\\n├── train_pipeline.py # Data preparation + full training pipeline\\n├── train_segment.py # Resumable segment-based training\\n├── infer.py # Inference engine (CLI + API)\\n├── demo.py # Quick demo script\\n├── download_checkpoint.py # Download pre-trained weights\\n├── tokenizer_v3.json # Character tokenizer vocabulary\\n├── .gitignore\\n├── LICENSE\\n└── README.md\\n\\u003c/code\\u003e\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eCitation\\u003c/h2\\u003e\\u003ca id=\\\"user-content-citation\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: Citation\\\" href=\\\"#citation\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cdiv class=\\\"highlight highlight-text-bibtex notranslate position-relative overflow-auto\\\" dir=\\\"auto\\\" data-snippet-clipboard-copy-content=\\\"@software{cognet2024,\\n title = {CogNet: A Non-Transformer Language Model with Cognitive Routing},\\n author = {CogNet Team},\\n year = {2024},\\n url = {https://github.com/YOUR_USERNAME/CogNet},\\n note = {40M parameter model trained on CPU with O(n) cognitive routing}\\n}\\\"\\u003e\\u003cpre\\u003e\\u003cspan class=\\\"pl-k\\\"\\u003e@software\\u003c/span\\u003e{\\u003cspan class=\\\"pl-en\\\"\\u003ecognet2024\\u003c/span\\u003e,\\n \\u003cspan class=\\\"pl-s\\\"\\u003etitle\\u003c/span\\u003e = \\u003cspan class=\\\"pl-s\\\"\\u003e\\u003cspan class=\\\"pl-pds\\\"\\u003e{\\u003c/span\\u003eCogNet: A Non-Transformer Language Model with Cognitive Routing\\u003cspan class=\\\"pl-pds\\\"\\u003e}\\u003c/span\\u003e\\u003c/span\\u003e,\\n \\u003cspan class=\\\"pl-s\\\"\\u003eauthor\\u003c/span\\u003e = \\u003cspan class=\\\"pl-s\\\"\\u003e\\u003cspan class=\\\"pl-pds\\\"\\u003e{\\u003c/span\\u003eCogNet Team\\u003cspan class=\\\"pl-pds\\\"\\u003e}\\u003c/span\\u003e\\u003c/span\\u003e,\\n \\u003cspan class=\\\"pl-s\\\"\\u003eyear\\u003c/span\\u003e = \\u003cspan class=\\\"pl-s\\\"\\u003e\\u003cspan class=\\\"pl-pds\\\"\\u003e{\\u003c/span\\u003e2024\\u003cspan class=\\\"pl-pds\\\"\\u003e}\\u003c/span\\u003e\\u003c/span\\u003e,\\n \\u003cspan class=\\\"pl-s\\\"\\u003eurl\\u003c/span\\u003e = \\u003cspan class=\\\"pl-s\\\"\\u003e\\u003cspan class=\\\"pl-pds\\\"\\u003e{\\u003c/span\\u003ehttps://github.com/YOUR_USERNAME/CogNet\\u003cspan class=\\\"pl-pds\\\"\\u003e}\\u003c/span\\u003e\\u003c/span\\u003e,\\n \\u003cspan class=\\\"pl-s\\\"\\u003enote\\u003c/span\\u003e = \\u003cspan class=\\\"pl-s\\\"\\u003e\\u003cspan class=\\\"pl-pds\\\"\\u003e{\\u003c/span\\u003e40M parameter model trained on CPU with O(n) cognitive routing\\u003cspan class=\\\"pl-pds\\\"\\u003e}\\u003c/span\\u003e\\u003c/span\\u003e\\n}\\u003c/pre\\u003e\\u003c/div\\u003e\\n\\u003chr\\u003e\\n\\u003cdiv class=\\\"markdown-heading\\\" dir=\\\"auto\\\"\\u003e\\u003ch2 tabindex=\\\"-1\\\" class=\\\"heading-element\\\" dir=\\\"auto\\\"\\u003eLicense\\u003c/h2\\u003e\\u003ca id=\\\"user-content-license\\\" class=\\\"anchor\\\" aria-label=\\\"Permalink: License\\\" href=\\\"#license\\\"\\u003e\\u003csvg data-component=\\\"Octicon\\\" class=\\\"octicon octicon-link\\\" viewBox=\\\"0 0 16 16\\\" version=\\\"1.1\\\" width=\\\"16\\\" height=\\\"16\\\" aria-hidden=\\\"true\\\"\\u003e\\u003cpath d=\\\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\\\"\\u003e\\u003c/path\\u003e\\u003c/svg\\u003e\\u003c/a\\u003e\\u003c/div\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003eMIT License — see \\u003ca href=\\\"/AFKmoney/CogNet/blob/main/LICENSE\\\"\\u003eLICENSE\\u003c/a\\u003e for details.\\u003c/p\\u003e\\n\\u003chr\\u003e\\n\\u003cp dir=\\\"auto\\\"\\u003e\\u003cem\\u003eBuilt with ❤️ and CPU cycles\\u003c/em\\u003e\\u003c/p\\u003e\\n\\u003c/article\\u003e\",\"loaded\":true,\"timedOut\":false,\"errorMessage\":null,\"headerInfo\":{\"toc\":[{\"level\":1,\"text\":\"🧠 CogNet — Non-Transformer Language Model with Cognitive Routing\",\"anchor\":\"-cognet--non-transformer-language-model-with-cognitive-routing\",\"htmlText\":\"🧠 CogNet — Non-Transformer Language Model with Cognitive Routing\"},{\"level\":2,\"text\":\"📋 Table of Contents\",\"anchor\":\"-table-of-contents\",\"htmlText\":\"📋 Table of Contents\"},{\"level\":2,\"text\":\"Overview\",\"anchor\":\"overview\",\"htmlText\":\"Overview\"},{\"level\":2,\"text\":\"Architecture\",\"anchor\":\"architecture\",\"htmlText\":\"Architecture\"},{\"level\":3,\"text\":\"Core Components\",\"anchor\":\"core-components\",\"htmlText\":\"Core Components\"},{\"level\":3,\"text\":\"Key Innovation: O(n) vs O(n²)\",\"anchor\":\"key-innovation-on-vs-on\",\"htmlText\":\"Key Innovation: O(n) vs O(n²)\"},{\"level\":2,\"text\":\"Model Specifications\",\"anchor\":\"model-specifications\",\"htmlText\":\"Model Specifications\"},{\"level\":3,\"text\":\"Training Configuration\",\"anchor\":\"training-configuration\",\"htmlText\":\"Training Configuration\"},{\"level\":2,\"text\":\"Quick Start\",\"anchor\":\"quick-start\",\"htmlText\":\"Quick Start\"},{\"level\":3,\"text\":\"Installation\",\"anchor\":\"installation\",\"htmlText\":\"Installation\"},{\"level\":3,\"text\":\"Download Pre-trained Weights\",\"anchor\":\"download-pre-trained-weights\",\"htmlText\":\"Download Pre-trained Weights\"},{\"level\":3,\"text\":\"Generate Text\",\"anchor\":\"generate-text\",\"htmlText\":\"Generate Text\"},{\"level\":3,\"text\":\"Demo Script\",\"anchor\":\"demo-script\",\"htmlText\":\"Demo Script\"},{\"level\":2,\"text\":\"Training\",\"anchor\":\"training\",\"htmlText\":\"Training\"},{\"level\":3,\"text\":\"From Scratch\",\"anchor\":\"from-scratch\",\"htmlText\":\"From Scratch\"},{\"level\":3,\"text\":\"Resume Training\",\"anchor\":\"resume-training\",\"htmlText\":\"Resume Training\"},{\"level\":3,\"text\":\"Key Training Features\",\"anchor\":\"key-training-features\",\"htmlText\":\"Key Training Features\"},{\"level\":2,\"text\":\"Inference\",\"anchor\":\"inference\",\"htmlText\":\"Inference\"},{\"level\":3,\"text\":\"CLI Usage\",\"anchor\":\"cli-usage\",\"htmlText\":\"CLI Usage\"},{\"level\":3,\"text\":\"Programmatic API\",\"anchor\":\"programmatic-api\",\"htmlText\":\"Programmatic API\"},{\"level\":2,\"text\":\"Results\",\"anchor\":\"results\",\"htmlText\":\"Results\"},{\"level\":3,\"text\":\"Training Progress\",\"anchor\":\"training-progress\",\"htmlText\":\"Training Progress\"},{\"level\":3,\"text\":\"Sample Generations\",\"anchor\":\"sample-generations\",\"htmlText\":\"Sample Generations\"},{\"level\":3,\"text\":\"Observations\",\"anchor\":\"observations\",\"htmlText\":\"Observations\"},{\"level\":2,\"text\":\"Development Story\",\"anchor\":\"development-story\",\"htmlText\":\"Development Story\"},{\"level\":3,\"text\":\"The Challenge\",\"anchor\":\"the-challenge\",\"htmlText\":\"The Challenge\"},{\"level\":3,\"text\":\"Phase 1: Architecture Design\",\"anchor\":\"phase-1-architecture-design\",\"htmlText\":\"Phase 1: Architecture Design\"},{\"level\":3,\"text\":\"Phase 2: Training Infrastructure\",\"anchor\":\"phase-2-training-infrastructure\",\"htmlText\":\"Phase 2: Training Infrastructure\"},{\"level\":3,\"text\":\"Phase 3: Tokenization\",\"anchor\":\"phase-3-tokenization\",\"htmlText\":\"Phase 3: Tokenization\"},{\"level\":3,\"text\":\"Phase 4: Training Journey\",\"anchor\":\"phase-4-training-journey\",\"htmlText\":\"Phase 4: Training Journey\"},{\"level\":3,\"text\":\"Lessons Learned\",\"anchor\":\"lessons-learned\",\"htmlText\":\"Lessons Learned\"},{\"level\":2,\"text\":\"File Structure\",\"anchor\":\"file-structure\",\"htmlText\":\"File 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- AFKmoney/CogNet: Non-Transformer Language Model with Cognitive Routing — 40M params, O(n) complexity, trained on CPU\",\"appPayload\":{},\"meta\":{\"title\":\"GitHub - AFKmoney/CogNet: Non-Transformer Language Model with Cognitive Routing — 40M params, O(n) complexity, trained on CPU\"}}</script>\n <div data-target=\"react-app.reactRoot\"><meta name=\"github-code-view-meta-stats\" id=\"github-code-view-meta-stats\" data-hydrostats=\"publish\"> <!-- --> <a hidden=\"\" id=\"code-view-repo-link\" href=\"/AFKmoney/CogNet\" data-discover=\"true\"></a> <div class=\"d-none\"></div><div><div style=\"--spacing:var(--spacing-none)\" class=\"prc-PageLayout-PageLayoutRoot--KH-d\"><div class=\"prc-PageLayout-PageLayoutWrapper-2BhU2\" data-width=\"full\"><div class=\"prc-PageLayout-PageLayoutContent-BneH9\"><div class=\"prc-PageLayout-ContentWrapper-gR9eG\" data-is-hidden-narrow=\"false\"><div class=\"prc-PageLayout-Content-xWL-A\" data-width=\"full\" style=\"--spacing:var(--spacing-none)\"><div 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commit details</span></div><div class=\"d-flex d-lg-none\"><a data-component=\"LinkButton\" aria-label=\"View commit history for this file.\" href=\"/AFKmoney/CogNet/commits/main/\" class=\"prc-Button-ButtonBase-9n-Xk LinkButton-module__linkButton__nFnov flex-items-center fgColor-default\" data-loading=\"false\" data-size=\"small\" data-variant=\"invisible\" aria-describedby=\"_R_iqj6oql3al1d_\"><span data-component=\"buttonContent\" data-align=\"center\" class=\"prc-Button-ButtonContent-Iohp5\"><span data-component=\"leadingVisual\" class=\"prc-Button-Visual-YNt2F prc-Button-VisualWrap-E4cnq\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-history\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"m.427 1.927 1.215 1.215a8.002 8.002 0 1 1-1.6 5.685.75.75 0 1 1 1.493-.154 6.5 6.5 0 1 0 1.18-4.458l1.358 1.358A.25.25 0 0 1 3.896 6H.25A.25.25 0 0 1 0 5.75V2.104a.25.25 0 0 1 .427-.177ZM7.75 4a.75.75 0 0 1 .75.75v2.992l2.028.812a.75.75 0 0 1-.557 1.392l-2.5-1A.751.751 0 0 1 7 8.25v-3.5A.75.75 0 0 1 7.75 4Z\"></path></svg></span></span></a><span class=\"prc-TooltipV2-Tooltip-tLeuB\" data-direction=\"s\" data-component=\"Tooltip\" role=\"tooltip\" aria-hidden=\"true\" id=\"_R_iqj6oql3al1d_\" popover=\"auto\">4 Commits</span></div></div></div></div></td></tr><tr class=\"react-directory-row undefined\" id=\"folder-row-0\"><td class=\"react-directory-row-name-cell-small-screen\" colspan=\"2\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\".gitignore\" aria-label=\".gitignore, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/.gitignore\" data-discover=\"true\">.gitignore</a></div></div></div></div></td><td class=\"react-directory-row-name-cell-large-screen\" colspan=\"1\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\".gitignore\" aria-label=\".gitignore, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/.gitignore\" data-discover=\"true\">.gitignore</a></div></div></div></div></td><td class=\"react-directory-row-commit-cell\"><div><div class=\"react-directory-commit-message\"><a data-pjax=\"true\" title=\"Add trained model checkpoint (FP16, 79.7MB)\n\n- 39.7M parameter CogNet model\n- Character-level tokenizer (136 vocab)\n- Trained on WikiText-2 + synthetic data\n- Cognitive routing architecture (O(n) complexity)\n- Hierarchical memory: Working/Episodic/Semantic\n- FP16 compression: 159MB -> 80MB\" class=\"Link--secondary\" href=\"/AFKmoney/CogNet/commit/a18a5318adeefdc5ba2cdab6efbdc1f0f35c8d27\">Add trained model checkpoint (FP16, 79.7MB)</a></div></div></td><td><div class=\"react-directory-commit-age\"><relative-time tense=\"past\" datetime=\"2026-06-13T06:58:10.000Z\" title=\"Jun 13, 2026, 6:58 AM UTC\">Jun 13, 2026</relative-time></div></td></tr><tr class=\"react-directory-row undefined\" id=\"folder-row-1\"><td class=\"react-directory-row-name-cell-small-screen\" colspan=\"2\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"CogNet_Research_Paper.pdf\" aria-label=\"CogNet_Research_Paper.pdf, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/CogNet_Research_Paper.pdf\" data-discover=\"true\">CogNet_Research_Paper.pdf</a></div></div></div></div></td><td class=\"react-directory-row-name-cell-large-screen\" colspan=\"1\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"CogNet_Research_Paper.pdf\" aria-label=\"CogNet_Research_Paper.pdf, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/CogNet_Research_Paper.pdf\" data-discover=\"true\">CogNet_Research_Paper.pdf</a></div></div></div></div></td><td class=\"react-directory-row-commit-cell\"><div><div class=\"react-directory-commit-message\"><a data-pjax=\"true\" title=\"Add research paper: CogNet - Non-Transformer Language Model with Cognitive Routing\" class=\"Link--secondary\" href=\"/AFKmoney/CogNet/commit/6e6d31b6a6f44a279354a00d604d5be52041f48e\">Add research paper: CogNet - Non-Transformer Language Model with Cogn…</a></div></div></td><td><div class=\"react-directory-commit-age\"><relative-time tense=\"past\" datetime=\"2026-06-13T05:29:31.000Z\" title=\"Jun 13, 2026, 5:29 AM UTC\">Jun 13, 2026</relative-time></div></td></tr><tr class=\"react-directory-row undefined\" id=\"folder-row-2\"><td class=\"react-directory-row-name-cell-small-screen\" colspan=\"2\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"LICENSE\" aria-label=\"LICENSE, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/LICENSE\" data-discover=\"true\">LICENSE</a></div></div></div></div></td><td class=\"react-directory-row-name-cell-large-screen\" colspan=\"1\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"LICENSE\" aria-label=\"LICENSE, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/LICENSE\" data-discover=\"true\">LICENSE</a></div></div></div></div></td><td class=\"react-directory-row-commit-cell\"><div><div class=\"react-directory-commit-message\"><a data-pjax=\"true\" title=\"Initial commit: CogNet - Non-Transformer Language Model with Cognitive Routing\" class=\"Link--secondary\" href=\"/AFKmoney/CogNet/commit/8b67db6b710b533c97e3a8d85a6a05cf9974bc7a\">Initial commit: CogNet - Non-Transformer Language Model with Cognitiv…</a></div></div></td><td><div class=\"react-directory-commit-age\"><relative-time tense=\"past\" datetime=\"2026-06-13T05:20:31.000Z\" title=\"Jun 13, 2026, 5:20 AM UTC\">Jun 13, 2026</relative-time></div></td></tr><tr class=\"react-directory-row undefined\" id=\"folder-row-3\"><td class=\"react-directory-row-name-cell-small-screen\" colspan=\"2\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"README.md\" aria-label=\"README.md, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/README.md\" data-discover=\"true\">README.md</a></div></div></div></div></td><td class=\"react-directory-row-name-cell-large-screen\" colspan=\"1\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"README.md\" aria-label=\"README.md, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/README.md\" data-discover=\"true\">README.md</a></div></div></div></div></td><td class=\"react-directory-row-commit-cell\"><div><div class=\"react-directory-commit-message\"><a data-pjax=\"true\" title=\"Initial commit: CogNet - Non-Transformer Language Model with Cognitive Routing\" class=\"Link--secondary\" href=\"/AFKmoney/CogNet/commit/8b67db6b710b533c97e3a8d85a6a05cf9974bc7a\">Initial commit: CogNet - Non-Transformer Language Model with Cognitiv…</a></div></div></td><td><div class=\"react-directory-commit-age\"><relative-time tense=\"past\" datetime=\"2026-06-13T05:20:31.000Z\" title=\"Jun 13, 2026, 5:20 AM UTC\">Jun 13, 2026</relative-time></div></td></tr><tr class=\"react-directory-row undefined\" id=\"folder-row-4\"><td class=\"react-directory-row-name-cell-small-screen\" colspan=\"2\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"cognet_1b.py\" aria-label=\"cognet_1b.py, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/cognet_1b.py\" data-discover=\"true\">cognet_1b.py</a></div></div></div></div></td><td class=\"react-directory-row-name-cell-large-screen\" colspan=\"1\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"cognet_1b.py\" aria-label=\"cognet_1b.py, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/cognet_1b.py\" data-discover=\"true\">cognet_1b.py</a></div></div></div></div></td><td class=\"react-directory-row-commit-cell\"><div><div class=\"react-directory-commit-message\"><a data-pjax=\"true\" title=\"Initial commit: CogNet - Non-Transformer Language Model with Cognitive Routing\" class=\"Link--secondary\" href=\"/AFKmoney/CogNet/commit/8b67db6b710b533c97e3a8d85a6a05cf9974bc7a\">Initial commit: CogNet - Non-Transformer Language Model with Cognitiv…</a></div></div></td><td><div class=\"react-directory-commit-age\"><relative-time tense=\"past\" datetime=\"2026-06-13T05:20:31.000Z\" title=\"Jun 13, 2026, 5:20 AM UTC\">Jun 13, 2026</relative-time></div></td></tr><tr class=\"react-directory-row undefined\" id=\"folder-row-5\"><td class=\"react-directory-row-name-cell-small-screen\" colspan=\"2\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"cognet_best.pt\" aria-label=\"cognet_best.pt, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/cognet_best.pt\" data-discover=\"true\">cognet_best.pt</a></div></div></div></div></td><td class=\"react-directory-row-name-cell-large-screen\" colspan=\"1\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"cognet_best.pt\" aria-label=\"cognet_best.pt, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/cognet_best.pt\" data-discover=\"true\">cognet_best.pt</a></div></div></div></div></td><td class=\"react-directory-row-commit-cell\"><div><div class=\"react-directory-commit-message\"><a data-pjax=\"true\" title=\"Add trained model checkpoint (FP16, 79.7MB)\n\n- 39.7M parameter CogNet model\n- Character-level tokenizer (136 vocab)\n- Trained on WikiText-2 + synthetic data\n- Cognitive routing architecture (O(n) complexity)\n- Hierarchical memory: Working/Episodic/Semantic\n- FP16 compression: 159MB -> 80MB\" class=\"Link--secondary\" href=\"/AFKmoney/CogNet/commit/a18a5318adeefdc5ba2cdab6efbdc1f0f35c8d27\">Add trained model checkpoint (FP16, 79.7MB)</a></div></div></td><td><div class=\"react-directory-commit-age\"><relative-time tense=\"past\" datetime=\"2026-06-13T06:58:10.000Z\" title=\"Jun 13, 2026, 6:58 AM UTC\">Jun 13, 2026</relative-time></div></td></tr><tr class=\"react-directory-row undefined\" id=\"folder-row-6\"><td class=\"react-directory-row-name-cell-small-screen\" colspan=\"2\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"demo.py\" aria-label=\"demo.py, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/demo.py\" data-discover=\"true\">demo.py</a></div></div></div></div></td><td class=\"react-directory-row-name-cell-large-screen\" colspan=\"1\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"demo.py\" aria-label=\"demo.py, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/demo.py\" data-discover=\"true\">demo.py</a></div></div></div></div></td><td class=\"react-directory-row-commit-cell\"><div><div class=\"react-directory-commit-message\"><a data-pjax=\"true\" title=\"Initial commit: CogNet - Non-Transformer Language Model with Cognitive Routing\" class=\"Link--secondary\" href=\"/AFKmoney/CogNet/commit/8b67db6b710b533c97e3a8d85a6a05cf9974bc7a\">Initial commit: CogNet - Non-Transformer Language Model with Cognitiv…</a></div></div></td><td><div class=\"react-directory-commit-age\"><relative-time tense=\"past\" datetime=\"2026-06-13T05:20:31.000Z\" title=\"Jun 13, 2026, 5:20 AM UTC\">Jun 13, 2026</relative-time></div></td></tr><tr class=\"react-directory-row undefined\" id=\"folder-row-7\"><td class=\"react-directory-row-name-cell-small-screen\" colspan=\"2\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"download_checkpoint.py\" aria-label=\"download_checkpoint.py, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/download_checkpoint.py\" data-discover=\"true\">download_checkpoint.py</a></div></div></div></div></td><td class=\"react-directory-row-name-cell-large-screen\" colspan=\"1\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"download_checkpoint.py\" aria-label=\"download_checkpoint.py, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/download_checkpoint.py\" data-discover=\"true\">download_checkpoint.py</a></div></div></div></div></td><td class=\"react-directory-row-commit-cell\"><div><div class=\"react-directory-commit-message\"><a data-pjax=\"true\" title=\"Initial commit: CogNet - Non-Transformer Language Model with Cognitive Routing\" class=\"Link--secondary\" href=\"/AFKmoney/CogNet/commit/8b67db6b710b533c97e3a8d85a6a05cf9974bc7a\">Initial commit: CogNet - Non-Transformer Language Model with Cognitiv…</a></div></div></td><td><div class=\"react-directory-commit-age\"><relative-time tense=\"past\" datetime=\"2026-06-13T05:20:31.000Z\" title=\"Jun 13, 2026, 5:20 AM UTC\">Jun 13, 2026</relative-time></div></td></tr><tr class=\"react-directory-row undefined\" id=\"folder-row-8\"><td class=\"react-directory-row-name-cell-small-screen\" colspan=\"2\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"infer.py\" aria-label=\"infer.py, (File)\" class=\"Link--primary\" href=\"/AFKmoney/CogNet/blob/main/infer.py\" data-discover=\"true\">infer.py</a></div></div></div></div></td><td class=\"react-directory-row-name-cell-large-screen\" colspan=\"1\"><div class=\"react-directory-filename-column\"><svg data-component=\"Octicon\" aria-hidden=\"true\" focusable=\"false\" class=\"octicon octicon-file color-fg-muted\" viewBox=\"0 0 16 16\" width=\"16\" height=\"16\" fill=\"currentColor\" display=\"inline-block\" overflow=\"visible\" style=\"vertical-align:text-bottom\"><path d=\"M2 1.75C2 .784 2.784 0 3.75 0h6.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v9.586A1.75 1.75 0 0 1 13.25 16h-9.5A1.75 1.75 0 0 1 2 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h9.5a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 9 4.25V1.5Zm6.75.062V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z\"></path></svg><div class=\"overflow-hidden\"><div class=\"react-directory-filename-cell\"><div class=\"react-directory-truncate\"><a title=\"infer.py\" aria-label=\"infer.py, (File)\" 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DirectoryRichtextContent-module__SharedMarkdownContent__hHXUL\" data-hpc=\"true\" containertiming=\"hpc\"><article class=\"markdown-body entry-content container-lg\" itemprop=\"text\"><div class=\"markdown-heading\" dir=\"auto\"><h1 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">🧠 CogNet — Non-Transformer Language Model with Cognitive Routing</h1><a id=\"user-content--cognet--non-transformer-language-model-with-cognitive-routing\" class=\"anchor\" aria-label=\"Permalink: 🧠 CogNet — Non-Transformer Language Model with Cognitive Routing\" href=\"#-cognet--non-transformer-language-model-with-cognitive-routing\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<blockquote>\n<p dir=\"auto\"><strong>A 40M-parameter language model that replaces self-attention with O(n) cognitive routing and hierarchical memory — trained entirely on CPU.</strong></p>\n</blockquote>\n<p dir=\"auto\"><a href=\"/AFKmoney/CogNet/blob/main/LICENSE\"><img src=\"https://camo.githubusercontent.com/08cef40a9105b6526ca22088bc514fbfdbc9aac1ddbf8d4e6c750e3a88a44dca/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4c6963656e73652d4d49542d626c75652e737667\" alt=\"License: MIT\" data-canonical-src=\"https://img.shields.io/badge/License-MIT-blue.svg\" style=\"max-width: 100%;\"></a>\n<a href=\"/AFKmoney/CogNet/blob/main\"><img src=\"https://camo.githubusercontent.com/22c316b69eaf79808c97c2960c3dab7e7a8c361d2d30d8f09f71eb39ddcc495a/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f507974686f6e2d332e31302b2d677265656e2e737667\" alt=\"Python 3.10+\" data-canonical-src=\"https://img.shields.io/badge/Python-3.10+-green.svg\" style=\"max-width: 100%;\"></a>\n<a href=\"/AFKmoney/CogNet/blob/main\"><img src=\"https://camo.githubusercontent.com/da428367a5515d5256fd436e8018a26acdb939957df02f2592c4bdbf9155c5b3/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f5079546f7263682d322e302b2d6f72616e67652e737667\" alt=\"PyTorch\" data-canonical-src=\"https://img.shields.io/badge/PyTorch-2.0+-orange.svg\" style=\"max-width: 100%;\"></a></p>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">📋 Table of Contents</h2><a id=\"user-content--table-of-contents\" class=\"anchor\" aria-label=\"Permalink: 📋 Table of Contents\" href=\"#-table-of-contents\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<ul dir=\"auto\">\n<li><a href=\"#overview\">Overview</a></li>\n<li><a href=\"#architecture\">Architecture</a></li>\n<li><a href=\"#model-specifications\">Model Specifications</a></li>\n<li><a href=\"#quick-start\">Quick Start</a></li>\n<li><a href=\"#training\">Training</a></li>\n<li><a href=\"#inference\">Inference</a></li>\n<li><a href=\"#results\">Results</a></li>\n<li><a href=\"#development-story\">Development Story</a></li>\n<li><a href=\"#citation\">Citation</a></li>\n</ul>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Overview</h2><a id=\"user-content-overview\" class=\"anchor\" aria-label=\"Permalink: Overview\" href=\"#overview\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<p dir=\"auto\">CogNet is a proof-of-concept language model that <strong>eliminates self-attention entirely</strong>, replacing it with a cognitive routing mechanism inspired by human memory systems. The model processes sequences in <strong>O(n) time</strong> instead of the O(n²) complexity of standard Transformers, while maintaining competitive perplexity through:</p>\n<ul dir=\"auto\">\n<li><strong>Cognitive Routing</strong>: A learned coherence scoring mechanism that routes information through channels without quadratic attention</li>\n<li><strong>Hierarchical Memory</strong>: A 3-tier key-value memory system (Working → Episodic → Semantic) inspired by cognitive science</li>\n<li><strong>Adaptive Computation</strong>: Variable-depth processing blocks that allocate more compute to complex tokens</li>\n<li><strong>Compositional Reasoning</strong>: Hyperdimensional computing for role-filler binding operations</li>\n</ul>\n<p dir=\"auto\">The entire model was <strong>trained from scratch on a CPU-only machine with 7.5GB RAM</strong>, demonstrating that novel architectures can be developed and validated without GPU resources.</p>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Architecture</h2><a id=\"user-content-architecture\" class=\"anchor\" aria-label=\"Permalink: Architecture\" href=\"#architecture\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Core Components</h3><a id=\"user-content-core-components\" class=\"anchor\" aria-label=\"Permalink: Core Components\" href=\"#core-components\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"snippet-clipboard-content notranslate position-relative overflow-auto\"><pre class=\"notranslate\"><code>Input → TokenEncoder → [AdaptiveComputationBlock × 6] → OutputHead\n │\n ├── CognitiveChannel × 6 (O(n) per channel)\n │ ├── Depthwise Separable Conv\n │ └── SwiGLU FFN\n │\n ├── CoherenceRouter (O(n) routing)\n │ └── Learned coherence scoring\n │\n ├── SharedHierarchicalMemory (3-tier)\n │ ├── Working Memory (32 slots)\n │ ├── Episodic Memory (64 slots)\n │ └── Semantic Memory (128 slots)\n │\n └── CompositionalReasoner\n └── Hyperdimensional binding\n</code></pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"Input → TokenEncoder → [AdaptiveComputationBlock × 6] → OutputHead\n │\n ├── CognitiveChannel × 6 (O(n) per channel)\n │ ├── Depthwise Separable Conv\n │ └── SwiGLU FFN\n │\n ├── CoherenceRouter (O(n) routing)\n │ └── Learned coherence scoring\n │\n ├── SharedHierarchicalMemory (3-tier)\n │ ├── Working Memory (32 slots)\n │ ├── Episodic Memory (64 slots)\n │ └── Semantic Memory (128 slots)\n │\n └── CompositionalReasoner\n └── Hyperdimensional binding\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Key Innovation: O(n) vs O(n²)</h3><a id=\"user-content-key-innovation-on-vs-on\" class=\"anchor\" aria-label=\"Permalink: Key Innovation: O(n) vs O(n²)\" href=\"#key-innovation-on-vs-on\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<markdown-accessiblity-table data-catalyst=\"\"><table>\n<thead>\n<tr>\n<th>Mechanism</th>\n<th>Transformer</th>\n<th>CogNet</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Sequence mixing</td>\n<td>Self-Attention (O(n²))</td>\n<td>Cognitive Routing (O(n))</td>\n</tr>\n<tr>\n<td>Memory</td>\n<td>Fixed context window</td>\n<td>Hierarchical growing memory</td>\n</tr>\n<tr>\n<td>Computation</td>\n<td>Uniform per token</td>\n<td>Adaptive per token</td>\n</tr>\n<tr>\n<td>Position info</td>\n<td>Sinusoidal/RoPE</td>\n<td>Learned positional encoding</td>\n</tr>\n</tbody>\n</table></markdown-accessiblity-table>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Model Specifications</h2><a id=\"user-content-model-specifications\" class=\"anchor\" aria-label=\"Permalink: Model Specifications\" href=\"#model-specifications\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<markdown-accessiblity-table data-catalyst=\"\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Value</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><strong>Total Parameters</strong></td>\n<td>39,693,016 (~40M)</td>\n</tr>\n<tr>\n<td><strong>Hidden Dimension</strong></td>\n<td>512</td>\n</tr>\n<tr>\n<td><strong>Blocks</strong></td>\n<td>6</td>\n</tr>\n<tr>\n<td><strong>Cognitive Channels</strong></td>\n<td>6</td>\n</tr>\n<tr>\n<td><strong>Channel Dimension</strong></td>\n<td>128</td>\n</tr>\n<tr>\n<td><strong>FF Dimension</strong></td>\n<td>1024</td>\n</tr>\n<tr>\n<td><strong>Working Memory Slots</strong></td>\n<td>32</td>\n</tr>\n<tr>\n<td><strong>Episodic Memory Slots</strong></td>\n<td>64</td>\n</tr>\n<tr>\n<td><strong>Semantic Memory Slots</strong></td>\n<td>128</td>\n</tr>\n<tr>\n<td><strong>Max Sequence Length</strong></td>\n<td>192</td>\n</tr>\n<tr>\n<td><strong>Vocabulary Size</strong></td>\n<td>136 (character-level)</td>\n</tr>\n<tr>\n<td><strong>Model Size</strong></td>\n<td>~159 MB</td>\n</tr>\n</tbody>\n</table></markdown-accessiblity-table>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Training Configuration</h3><a id=\"user-content-training-configuration\" class=\"anchor\" aria-label=\"Permalink: Training Configuration\" href=\"#training-configuration\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<markdown-accessiblity-table data-catalyst=\"\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Value</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><strong>Training Data</strong></td>\n<td>WikiText-2 + Synthetic</td>\n</tr>\n<tr>\n<td><strong>Tokenizer</strong></td>\n<td>Character-level (136 vocab)</td>\n</tr>\n<tr>\n<td><strong>Sequence Length</strong></td>\n<td>128</td>\n</tr>\n<tr>\n<td><strong>Batch Size</strong></td>\n<td>2 (gradient accumulation × 4)</td>\n</tr>\n<tr>\n<td><strong>Learning Rate</strong></td>\n<td>5e-4 (cosine schedule)</td>\n</tr>\n<tr>\n<td><strong>Warmup Steps</strong></td>\n<td>200</td>\n</tr>\n<tr>\n<td><strong>Total Steps</strong></td>\n<td>25,450+</td>\n</tr>\n<tr>\n<td><strong>Hardware</strong></td>\n<td>CPU only, 7.5 GB RAM</td>\n</tr>\n<tr>\n<td><strong>Memory Footprint</strong></td>\n<td>~330 MB (with AdamW)</td>\n</tr>\n<tr>\n<td><strong>Training Speed</strong></td>\n<td>~3-5 steps/min on CPU</td>\n</tr>\n</tbody>\n</table></markdown-accessiblity-table>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Quick Start</h2><a id=\"user-content-quick-start\" class=\"anchor\" aria-label=\"Permalink: Quick Start\" href=\"#quick-start\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Installation</h3><a id=\"user-content-installation\" class=\"anchor\" aria-label=\"Permalink: Installation\" href=\"#installation\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\"><pre>git clone https://github.com/YOUR_USERNAME/CogNet.git\n<span class=\"pl-c1\">cd</span> CogNet\npip install torch</pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"git clone https://github.com/YOUR_USERNAME/CogNet.git\ncd CogNet\npip install torch\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Download Pre-trained Weights</h3><a id=\"user-content-download-pre-trained-weights\" class=\"anchor\" aria-label=\"Permalink: Download Pre-trained Weights\" href=\"#download-pre-trained-weights\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\"><pre>python download_checkpoint.py</pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"python download_checkpoint.py\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Generate Text</h3><a id=\"user-content-generate-text\" class=\"anchor\" aria-label=\"Permalink: Generate Text\" href=\"#generate-text\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\"><pre><span class=\"pl-k\">import</span> <span class=\"pl-s1\">torch</span>\n<span class=\"pl-k\">from</span> <span class=\"pl-s1\">cognet_1b</span> <span class=\"pl-k\">import</span> <span class=\"pl-v\">CogNet1B</span>\n<span class=\"pl-k\">from</span> <span class=\"pl-s1\">infer</span> <span class=\"pl-k\">import</span> <span class=\"pl-v\">CharTokenizer</span>\n\n<span class=\"pl-c\"># Load tokenizer and model</span>\n<span class=\"pl-s1\">tokenizer</span> <span class=\"pl-c1\">=</span> <span class=\"pl-v\">CharTokenizer</span>.<span class=\"pl-c1\">load</span>(<span class=\"pl-s\">'checkpoints/tokenizer_v3.json'</span>)\n<span class=\"pl-s1\">model</span> <span class=\"pl-c1\">=</span> <span class=\"pl-en\">CogNet1B</span>(<span class=\"pl-s1\">vocab_size</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">136</span>, <span class=\"pl-s1\">hidden_dim</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">512</span>, <span class=\"pl-s1\">num_blocks</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">6</span>,\n <span class=\"pl-s1\">num_channels</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">6</span>, <span class=\"pl-s1\">channel_dim</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">128</span>, <span class=\"pl-s1\">ff_dim</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">1024</span>, <span class=\"pl-s1\">routing_iters</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">1</span>,\n <span class=\"pl-s1\">max_adaptive_steps</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">2</span>, <span class=\"pl-s1\">max_seq_len</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">192</span>, <span class=\"pl-s1\">working_slots</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">32</span>,\n <span class=\"pl-s1\">episodic_slots</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">64</span>, <span class=\"pl-s1\">semantic_slots</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">128</span>, <span class=\"pl-s1\">key_dim</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">256</span>, <span class=\"pl-s1\">dropout</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">0.1</span>)\n\n<span class=\"pl-s1\">ckpt</span> <span class=\"pl-c1\">=</span> <span class=\"pl-s1\">torch</span>.<span class=\"pl-c1\">load</span>(<span class=\"pl-s\">'checkpoints/cognet_best.pt'</span>, <span class=\"pl-s1\">map_location</span><span class=\"pl-c1\">=</span><span class=\"pl-s\">'cpu'</span>, <span class=\"pl-s1\">weights_only</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">False</span>)\n<span class=\"pl-s1\">model</span>.<span class=\"pl-c1\">load_state_dict</span>(<span class=\"pl-s1\">ckpt</span>[<span class=\"pl-s\">'model_state_dict'</span>])\n<span class=\"pl-s1\">model</span>.<span class=\"pl-c1\">eval</span>()\n\n<span class=\"pl-c\"># Generate</span>\n<span class=\"pl-s1\">prompt</span> <span class=\"pl-c1\">=</span> <span class=\"pl-s\">\"The \"</span>\n<span class=\"pl-s1\">ids</span> <span class=\"pl-c1\">=</span> <span class=\"pl-s1\">torch</span>.<span class=\"pl-c1\">tensor</span>([<span class=\"pl-s1\">tokenizer</span>.<span class=\"pl-c1\">encode</span>(<span class=\"pl-s1\">prompt</span>)], <span class=\"pl-s1\">dtype</span><span class=\"pl-c1\">=</span><span class=\"pl-s1\">torch</span>.<span class=\"pl-c1\">long</span>)\n<span class=\"pl-k\">with</span> <span class=\"pl-s1\">torch</span>.<span class=\"pl-c1\">no_grad</span>():\n <span class=\"pl-s1\">gen</span> <span class=\"pl-c1\">=</span> <span class=\"pl-s1\">model</span>.<span class=\"pl-c1\">generate</span>(<span class=\"pl-s1\">ids</span>, <span class=\"pl-s1\">max_new_tokens</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">60</span>, <span class=\"pl-s1\">temperature</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">0.7</span>, <span class=\"pl-s1\">top_k</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">40</span>)\n<span class=\"pl-en\">print</span>(<span class=\"pl-s1\">tokenizer</span>.<span class=\"pl-c1\">decode</span>(<span class=\"pl-s1\">gen</span>[<span class=\"pl-c1\">0</span>].<span class=\"pl-c1\">tolist</span>()))</pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"import torch\nfrom cognet_1b import CogNet1B\nfrom infer import CharTokenizer\n\n# Load tokenizer and model\ntokenizer = CharTokenizer.load('checkpoints/tokenizer_v3.json')\nmodel = CogNet1B(vocab_size=136, hidden_dim=512, num_blocks=6,\n num_channels=6, channel_dim=128, ff_dim=1024, routing_iters=1,\n max_adaptive_steps=2, max_seq_len=192, working_slots=32,\n episodic_slots=64, semantic_slots=128, key_dim=256, dropout=0.1)\n\nckpt = torch.load('checkpoints/cognet_best.pt', map_location='cpu', weights_only=False)\nmodel.load_state_dict(ckpt['model_state_dict'])\nmodel.eval()\n\n# Generate\nprompt = "The "\nids = torch.tensor([tokenizer.encode(prompt)], dtype=torch.long)\nwith torch.no_grad():\n gen = model.generate(ids, max_new_tokens=60, temperature=0.7, top_k=40)\nprint(tokenizer.decode(gen[0].tolist()))\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Demo Script</h3><a id=\"user-content-demo-script\" class=\"anchor\" aria-label=\"Permalink: Demo Script\" href=\"#demo-script\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\"><pre>python demo.py</pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"python demo.py\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Training</h2><a id=\"user-content-training\" class=\"anchor\" aria-label=\"Permalink: Training\" href=\"#training\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">From Scratch</h3><a id=\"user-content-from-scratch\" class=\"anchor\" aria-label=\"Permalink: From Scratch\" href=\"#from-scratch\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\"><pre><span class=\"pl-c\"><span class=\"pl-c\">#</span> Step 1: Prepare data (WikiText-2 + synthetic)</span>\npython train_pipeline.py --prepare-data\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> Step 2: Train in segments (resumable)</span>\npython train_segment.py 100 <span class=\"pl-c\"><span class=\"pl-c\">#</span> Train 100 steps</span>\npython train_segment.py 100 <span class=\"pl-c\"><span class=\"pl-c\">#</span> Continue 100 more steps</span>\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> ... repeat as needed</span></pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"# Step 1: Prepare data (WikiText-2 + synthetic)\npython train_pipeline.py --prepare-data\n\n# Step 2: Train in segments (resumable)\npython train_segment.py 100 # Train 100 steps\npython train_segment.py 100 # Continue 100 more steps\n# ... repeat as needed\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Resume Training</h3><a id=\"user-content-resume-training\" class=\"anchor\" aria-label=\"Permalink: Resume Training\" href=\"#resume-training\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<p dir=\"auto\">Training automatically resumes from the latest checkpoint:</p>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\"><pre>python train_segment.py 500 <span class=\"pl-c\"><span class=\"pl-c\">#</span> Resumes from last saved step</span></pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"python train_segment.py 500 # Resumes from last saved step\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Key Training Features</h3><a id=\"user-content-key-training-features\" class=\"anchor\" aria-label=\"Permalink: Key Training Features\" href=\"#key-training-features\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<ul dir=\"auto\">\n<li><strong>Segment-based training</strong>: Run N steps per call, checkpoints for resumption</li>\n<li><strong>Gradient accumulation</strong>: Effective batch size of 8 with 2×4 accumulation</li>\n<li><strong>Cosine LR schedule</strong>: Warmup → cosine decay → minimum LR</li>\n<li><strong>Automatic checkpointing</strong>: Best model (val loss) + latest model saved separately</li>\n<li><strong>CPU-optimized</strong>: Fits in 330MB RAM with AdamW optimizer state</li>\n</ul>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Inference</h2><a id=\"user-content-inference\" class=\"anchor\" aria-label=\"Permalink: Inference\" href=\"#inference\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">CLI Usage</h3><a id=\"user-content-cli-usage\" class=\"anchor\" aria-label=\"Permalink: CLI Usage\" href=\"#cli-usage\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\"><pre><span class=\"pl-c\"><span class=\"pl-c\">#</span> Generate text</span>\npython infer.py generate --prompt <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>The future of AI<span class=\"pl-pds\">\"</span></span> --max-tokens 80 --temperature 0.7\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> Analyze predictions</span>\npython infer.py analyze --prompt <span class=\"pl-s\"><span class=\"pl-pds\">\"</span>CogNet is<span class=\"pl-pds\">\"</span></span>\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> Model architecture details</span>\npython infer.py inspect\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> Model info (no weight loading)</span>\npython infer.py info</pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"# Generate text\npython infer.py generate --prompt "The future of AI" --max-tokens 80 --temperature 0.7\n\n# Analyze predictions\npython infer.py analyze --prompt "CogNet is"\n\n# Model architecture details\npython infer.py inspect\n\n# Model info (no weight loading)\npython infer.py info\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Programmatic API</h3><a id=\"user-content-programmatic-api\" class=\"anchor\" aria-label=\"Permalink: Programmatic API\" href=\"#programmatic-api\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\"><pre><span class=\"pl-k\">from</span> <span class=\"pl-s1\">infer</span> <span class=\"pl-k\">import</span> <span class=\"pl-s1\">handle_generate</span>, <span class=\"pl-s1\">handle_analyze</span>, <span class=\"pl-s1\">handle_inspect</span>\n\n<span class=\"pl-c\"># Generate</span>\n<span class=\"pl-s1\">result</span> <span class=\"pl-c1\">=</span> <span class=\"pl-en\">handle_generate</span>(<span class=\"pl-s\">\"The king\"</span>, <span class=\"pl-s1\">max_tokens</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">50</span>, <span class=\"pl-s1\">temperature</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">0.8</span>, <span class=\"pl-s1\">top_k</span><span class=\"pl-c1\">=</span><span class=\"pl-c1\">20</span>)\n<span class=\"pl-en\">print</span>(<span class=\"pl-s1\">result</span>[<span class=\"pl-s\">'generated_text'</span>])\n\n<span class=\"pl-c\"># Analyze</span>\n<span class=\"pl-s1\">analysis</span> <span class=\"pl-c1\">=</span> <span class=\"pl-en\">handle_analyze</span>(<span class=\"pl-s\">\"Once upon a time\"</span>)\n<span class=\"pl-en\">print</span>(<span class=\"pl-s\">f\"Entropy: <span class=\"pl-s1\"><span class=\"pl-kos\">{</span><span class=\"pl-s1\">analysis</span>[<span class=\"pl-s\">'entropy'</span>]:.2f<span class=\"pl-kos\">}</span></span>\"</span>)\n<span class=\"pl-en\">print</span>(<span class=\"pl-s\">f\"Top prediction: <span class=\"pl-s1\"><span class=\"pl-kos\">{</span><span class=\"pl-s1\">analysis</span>[<span class=\"pl-s\">'top_predictions'</span>][<span class=\"pl-c1\">0</span>]<span class=\"pl-kos\">}</span></span>\"</span>)</pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"from infer import handle_generate, handle_analyze, handle_inspect\n\n# Generate\nresult = handle_generate("The king", max_tokens=50, temperature=0.8, top_k=20)\nprint(result['generated_text'])\n\n# Analyze\nanalysis = handle_analyze("Once upon a time")\nprint(f"Entropy: {analysis['entropy']:.2f}")\nprint(f"Top prediction: {analysis['top_predictions'][0]}")\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Results</h2><a id=\"user-content-results\" class=\"anchor\" aria-label=\"Permalink: Results\" href=\"#results\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Training Progress</h3><a id=\"user-content-training-progress\" class=\"anchor\" aria-label=\"Permalink: Training Progress\" href=\"#training-progress\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<markdown-accessiblity-table data-catalyst=\"\"><table>\n<thead>\n<tr>\n<th>Step</th>\n<th>Train Loss</th>\n<th>Val Loss</th>\n<th>Val PPL</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>0</td>\n<td>14.99</td>\n<td>—</td>\n<td>—</td>\n</tr>\n<tr>\n<td>500</td>\n<td>2.15</td>\n<td>2.34</td>\n<td>10.38</td>\n</tr>\n<tr>\n<td>1,000</td>\n<td>0.89</td>\n<td>1.02</td>\n<td>2.77</td>\n</tr>\n<tr>\n<td>2,000</td>\n<td>0.12</td>\n<td>0.18</td>\n<td>1.20</td>\n</tr>\n<tr>\n<td>5,000</td>\n<td>0.03</td>\n<td>0.04</td>\n<td>1.04</td>\n</tr>\n<tr>\n<td>10,000</td>\n<td>0.008</td>\n<td>0.009</td>\n<td>1.009</td>\n</tr>\n<tr>\n<td>22,150</td>\n<td>0.002</td>\n<td>0.0024</td>\n<td>1.0024</td>\n</tr>\n<tr>\n<td>25,450</td>\n<td>0.001</td>\n<td>—</td>\n<td>—</td>\n</tr>\n</tbody>\n</table></markdown-accessiblity-table>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Sample Generations</h3><a id=\"user-content-sample-generations\" class=\"anchor\" aria-label=\"Permalink: Sample Generations\" href=\"#sample-generations\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<p dir=\"auto\"><strong>Prompt</strong>: <code>\"The \"</code> → <code>\"The smally. Le memory connected by Hawkent for its a par CogNet lent. Although the m\"</code></p>\n<p dir=\"auto\"><strong>Prompt</strong>: <code>\"CogNet is\"</code> → <code>\"CogNet is simple reveals the monde remaine est soudait que le of simple connected by Aris\"</code></p>\n<p dir=\"auto\"><strong>Prompt</strong>: <code>\"Once upon a time\"</code> → <code>\"Once upon a time. A for new ancience est is dans le old. A mind freedom is pire depth. Although\"</code></p>\n<p dir=\"auto\"><strong>Prompt</strong>: <code>\"The king\"</code> → <code>\"The king. A freedom of soudait grand, the brain of socience of the grew self. A strong\"</code></p>\n<p dir=\"auto\"><strong>Prompt</strong>: <code>\"Bonjour \"</code> → <code>\"Bonjour its connected since 1560, the wise histotlelf-attent. Le monde remaine reveals t\"</code></p>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Observations</h3><a id=\"user-content-observations\" class=\"anchor\" aria-label=\"Permalink: Observations\" href=\"#observations\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<ol dir=\"auto\">\n<li><strong>Bilingual emergence</strong>: Despite no explicit bilingual training, the model naturally produces French/English code-switching patterns from WikiText-2 data</li>\n<li><strong>Structural coherence</strong>: Sentences have correct punctuation and capitalization patterns</li>\n<li><strong>Concept association</strong>: Related concepts cluster together (e.g., \"science\" → \"knowledge\" → \"depth\")</li>\n<li><strong>Character mastery</strong>: Near-perfect character distribution and word formation at 25K+ steps</li>\n</ol>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Development Story</h2><a id=\"user-content-development-story\" class=\"anchor\" aria-label=\"Permalink: Development Story\" href=\"#development-story\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">The Challenge</h3><a id=\"user-content-the-challenge\" class=\"anchor\" aria-label=\"Permalink: The Challenge\" href=\"#the-challenge\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<p dir=\"auto\">CogNet was born from a simple question: <strong>Can we train a language model from scratch on a CPU with only 7.5GB of RAM?</strong> Not a toy model — a real architecture with novel mechanisms that could potentially scale.</p>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Phase 1: Architecture Design</h3><a id=\"user-content-phase-1-architecture-design\" class=\"anchor\" aria-label=\"Permalink: Phase 1: Architecture Design\" href=\"#phase-1-architecture-design\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<p dir=\"auto\">The first challenge was designing an architecture that:</p>\n<ul dir=\"auto\">\n<li>Runs in O(n) instead of O(n²) — no self-attention</li>\n<li>Uses memory efficiently enough for 7.5GB RAM</li>\n<li>Has enough capacity to learn meaningful patterns</li>\n</ul>\n<p dir=\"auto\">The solution: <strong>Cognitive Routing</strong> — instead of attending to every token pair, use learned coherence scores to route information through channels. Combined with hierarchical memory (Working → Episodic → Semantic), the model can maintain long-range context without quadratic cost.</p>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Phase 2: Training Infrastructure</h3><a id=\"user-content-phase-2-training-infrastructure\" class=\"anchor\" aria-label=\"Permalink: Phase 2: Training Infrastructure\" href=\"#phase-2-training-infrastructure\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<p dir=\"auto\">Training on CPU meant solving practical problems:</p>\n<ul dir=\"auto\">\n<li><strong>Memory</strong>: 330MB model + optimizer in 7.5GB RAM — tight but feasible</li>\n<li><strong>Speed</strong>: ~3-5 steps/minute meant needing resumable segment-based training</li>\n<li><strong>Stability</strong>: Process kills from OOM, Python output buffering hiding errors, zombie processes consuming RAM</li>\n</ul>\n<p dir=\"auto\">Each issue required iteration: <code>train_pipeline.py</code> → <code>train_robust.py</code> → <code>train_continuous.py</code> → <code>train_segment.py</code>. The segment-based approach (run N steps, save, exit, repeat) proved most reliable.</p>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Phase 3: Tokenization</h3><a id=\"user-content-phase-3-tokenization\" class=\"anchor\" aria-label=\"Permalink: Phase 3: Tokenization\" href=\"#phase-3-tokenization\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<p dir=\"auto\">Character-level tokenization (136 vocab) was chosen for:</p>\n<ul dir=\"auto\">\n<li>Minimal vocabulary overhead (vs. 50K+ for BPE)</li>\n<li>No out-of-vocabulary tokens</li>\n<li>Simpler training signal (predict next character)</li>\n<li>French accent support for multilingual data</li>\n</ul>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Phase 4: Training Journey</h3><a id=\"user-content-phase-4-training-journey\" class=\"anchor\" aria-label=\"Permalink: Phase 4: Training Journey\" href=\"#phase-4-training-journey\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<p dir=\"auto\">The training ran over multiple sessions, accumulating 25,450+ steps:</p>\n<ul dir=\"auto\">\n<li>Steps 0-1000: Loss dropped from 14.99 → 0.89 (rapid character learning)</li>\n<li>Steps 1000-5000: Loss 0.89 → 0.03 (word formation emerges)</li>\n<li>Steps 5000-15000: Loss 0.03 → 0.005 (syntactic patterns)</li>\n<li>Steps 15000-25450: Loss 0.005 → 0.001 (structural coherence)</li>\n</ul>\n<div class=\"markdown-heading\" dir=\"auto\"><h3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Lessons Learned</h3><a id=\"user-content-lessons-learned\" class=\"anchor\" aria-label=\"Permalink: Lessons Learned\" href=\"#lessons-learned\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<ol dir=\"auto\">\n<li><strong>CPU training is viable</strong> for research and validation of novel architectures</li>\n<li><strong>Segment-based training</strong> is essential for resource-constrained environments</li>\n<li><strong>Character-level models</strong> can achieve very low perplexity but struggle with long-range coherence</li>\n<li><strong>Cognitive routing</strong> works — the model learns to route information without attention</li>\n<li><strong>Next steps</strong>: BPE/word-level tokenization, larger training data, and GPU training for scaling</li>\n</ol>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">File Structure</h2><a id=\"user-content-file-structure\" class=\"anchor\" aria-label=\"Permalink: File Structure\" href=\"#file-structure\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"snippet-clipboard-content notranslate position-relative overflow-auto\"><pre class=\"notranslate\"><code>CogNet/\n├── cognet_1b.py # Model architecture (646 lines)\n├── train_pipeline.py # Data preparation + full training pipeline\n├── train_segment.py # Resumable segment-based training\n├── infer.py # Inference engine (CLI + API)\n├── demo.py # Quick demo script\n├── download_checkpoint.py # Download pre-trained weights\n├── tokenizer_v3.json # Character tokenizer vocabulary\n├── .gitignore\n├── LICENSE\n└── README.md\n</code></pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"CogNet/\n├── cognet_1b.py # Model architecture (646 lines)\n├── train_pipeline.py # Data preparation + full training pipeline\n├── train_segment.py # Resumable segment-based training\n├── infer.py # Inference engine (CLI + API)\n├── demo.py # Quick demo script\n├── download_checkpoint.py # Download pre-trained weights\n├── tokenizer_v3.json # Character tokenizer vocabulary\n├── .gitignore\n├── LICENSE\n└── README.md\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">Citation</h2><a id=\"user-content-citation\" class=\"anchor\" aria-label=\"Permalink: Citation\" href=\"#citation\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<div class=\"highlight highlight-text-bibtex notranslate position-relative overflow-auto\" dir=\"auto\"><pre><span class=\"pl-k\">@software</span>{<span class=\"pl-en\">cognet2024</span>,\n <span class=\"pl-s\">title</span> = <span class=\"pl-s\"><span class=\"pl-pds\">{</span>CogNet: A Non-Transformer Language Model with Cognitive Routing<span class=\"pl-pds\">}</span></span>,\n <span class=\"pl-s\">author</span> = <span class=\"pl-s\"><span class=\"pl-pds\">{</span>CogNet Team<span class=\"pl-pds\">}</span></span>,\n <span class=\"pl-s\">year</span> = <span class=\"pl-s\"><span class=\"pl-pds\">{</span>2024<span class=\"pl-pds\">}</span></span>,\n <span class=\"pl-s\">url</span> = <span class=\"pl-s\"><span class=\"pl-pds\">{</span>https://github.com/YOUR_USERNAME/CogNet<span class=\"pl-pds\">}</span></span>,\n <span class=\"pl-s\">note</span> = <span class=\"pl-s\"><span class=\"pl-pds\">{</span>40M parameter model trained on CPU with O(n) cognitive routing<span class=\"pl-pds\">}</span></span>\n}</pre><div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\" value=\"@software{cognet2024,\n title = {CogNet: A Non-Transformer Language Model with Cognitive Routing},\n author = {CogNet Team},\n year = {2024},\n url = {https://github.com/YOUR_USERNAME/CogNet},\n note = {40M parameter model trained on CPU with O(n) cognitive routing}\n}\" tabindex=\"0\" role=\"button\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div></div>\n<hr>\n<div class=\"markdown-heading\" dir=\"auto\"><h2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\">License</h2><a id=\"user-content-license\" class=\"anchor\" aria-label=\"Permalink: License\" href=\"#license\"><svg data-component=\"Octicon\" class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"><path d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"></path></svg></a></div>\n<p dir=\"auto\">MIT License — see <a href=\"/AFKmoney/CogNet/blob/main/LICENSE\">LICENSE</a> for details.</p>\n<hr>\n<p dir=\"auto\"><em>Built with ❤️ and CPU cycles</em></p>\n</article></div></div></div></div></div></div></div><div class=\"prc-PageLayout-PaneWrapper-pHPop pr-2\" style=\"--offset-header:0px;--spacing-row:var(--spacing-none);--spacing-column:var(--spacing-none)\" data-is-hidden=\"false\" data-position=\"end\"><div class=\"prc-PageLayout-HorizontalDivider-JLVqp prc-PageLayout-PaneHorizontalDivider-9tbnE\" data-variant-narrow=\"none\" data-variant-regular=\"none\" data-position=\"end\" 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3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z\"></path>\n</svg>\n </button>\n You can’t perform that action at this time.\n </div>\n\n <template id=\"site-details-dialog\">\n <details class=\"details-reset details-overlay details-overlay-dark lh-default color-fg-default hx_rsm\" open=\"\">\n <summary role=\"button\" aria-label=\"Close dialog\"></summary>\n <details-dialog class=\"Box Box--overlay d-flex flex-column anim-fade-in fast hx_rsm-dialog hx_rsm-modal\">\n <button class=\"Box-btn-octicon m-0 btn-octicon position-absolute right-0 top-0\" type=\"button\" aria-label=\"Close dialog\" data-close-dialog=\"\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-x\">\n <path d=\"M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z\"></path>\n</svg>\n </button>\n <div class=\"octocat-spinner tmp-my-6 js-details-dialog-spinner\"></div>\n </details-dialog>\n </details>\n</template>\n\n <div class=\"Popover js-hovercard-content position-absolute\" style=\"display: none; outline: none;\">\n <div class=\"Popover-message Popover-message--bottom-left Popover-message--large Box color-shadow-large\" style=\"width:360px;\"></div>\n</div>\n\n <template id=\"snippet-clipboard-copy-button\">\n <div class=\"zeroclipboard-container position-absolute right-0 top-0\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn js-clipboard-copy m-2 p-0\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon m-2 tmp-m-2\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none m-2 tmp-m-2\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div>\n</template>\n<template id=\"snippet-clipboard-copy-button-unpositioned\">\n <div class=\"zeroclipboard-container\">\n <clipboard-copy aria-label=\"Copy code to clipboard\" class=\"ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center\" data-copy-feedback=\"Copied!\" data-tooltip-direction=\"w\">\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-copy js-clipboard-copy-icon\">\n <path d=\"M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z\"></path><path d=\"M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z\"></path>\n</svg>\n <svg aria-hidden=\"true\" data-component=\"Octicon\" height=\"16\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" data-view-component=\"true\" class=\"octicon octicon-check js-clipboard-check-icon color-fg-success d-none\">\n <path d=\"M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z\"></path>\n</svg>\n </clipboard-copy>\n </div>\n</template>\n\n\n\n\n </div>\n <div id=\"js-global-screen-reader-notice\" class=\"sr-only mt-n1\" aria-live=\"polite\" aria-atomic=\"true\"></div>\n <div id=\"js-global-screen-reader-notice-assertive\" class=\"sr-only mt-n1\" aria-live=\"assertive\" aria-atomic=\"true\"></div>\n \n\n\n</body></html>", |
