{"id":4387,"date":"2026-07-19T07:08:14","date_gmt":"2026-07-19T07:08:14","guid":{"rendered":"https:\/\/www.nordwallinstrument.com\/?p=4387"},"modified":"2026-07-19T07:08:14","modified_gmt":"2026-07-19T07:08:14","slug":"chronos-2-small-100-private-pc-no-python-required-step-by-step","status":"publish","type":"post","link":"https:\/\/www.nordwallinstrument.com\/en\/chronos-2-small-100-private-pc-no-python-required-step-by-step\/","title":{"rendered":"chronos-2-small 100% Private PC No Python Required Step-by-Step"},"content":{"rendered":"<p><img decoding=\"async\" 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HZiceWRczVhLuXG0NJvTeS5fAbETQ+CnW4oXoeCZYtI5IRJ9F6mDROu0VWlMDeOqhxhk8G2bwEy6P\/VzSsMs\/gjOuMVEMuh4rS69AGtHjtoehmqAl7cmwMfsTbVkXWwzYb5bXa5CsB0xQxmMEDlRabq+PNZseTxyuzIgz0vO35x1FNI0Az6K9g9QXqMFb3la+8SSIt7GNBszrpfLGU6GgID28lckETXaPTyELysJwvE5AJTFtGeVBi8AmhRfjGEZU67DFsTHYuq8wNyPgfQ2QKCtHJPReVtY8+MTc4oUABZi0FyqaU2t3Fj4CwOJ3epyPjpqV68yHfG8ZM81iArwtfs+13Tt0fguy50+V0Gfl+cOcR8UkLfAqVHvCtjFkUwh3YTZuhvtF6ALT3CuXG68uAlk3W33BE98gJFEEwU7q5dAAcEPYUF74fd\/hgmddrcuOZnF5ru16bZ8vl8XjPmOpT3W1ZPW59Ue3wb94VZqmxG+1gRmuLbHRLjw9Ja9GHWdIymPLtUvC\/YWzuRgsXrww1BdaPy7or8rJJnamwZfEnrEvq4ItLf6IN5kCt89l4xWz9yf5sMByjhaOJMki7u3IVfE5fr21\/1SLWkx\/2uzs29v+oZjRS0hJnphTqCCWGz5osSOM9KjOKSVmPYzIbeJs9o\/jS0vODxKmkUM2WnAJq6F3Eo2ghlzPEV9lAku\/cTlw23P5rZFiptOy0oA782EhePf9Q0KeFeP8VdPYtEO0se4nvxg2K4F9z4JG1A8WkJvQmmqIOIc63m9PsXKAprkE4kTkPTvUBNkiCr3\/5sGKxhI9b\/jfIJ\/P9zXLq6hEhHLLQItPA+J+EZTN6L7nBVBzCyB7PovPXCVK3Cv7IGpu3tHf4gLBrhliHLFtywdeTGsPtIGcvpsNOOZdh\/yvu5QaJ0iA2YM4gYZmgMXv52A+rjHHH+StwhSb\/5FjVW1Q\/BXXB5Qu4FQSe1MaiKzXxbXNOEzc0ED\/Qakx9ez1Wbkq9n6wZtWtAMx+HALERIWZ78NKjRruHHOLa5g\/vUrfL+\/1OY0JdAItb9NwropuwBvYOEV92IavQqYTvsQEh1EUXDYq0LuIQdl9pbSlAMlCnKWSDCBHS4sbpLk74\/SN59Hd2y3XAj8w8KJIR5GoFMHC\/x05lnnytxHX1Tkju2PZA\/yTuArfsxQidNLcen7ZlFNUQnjyhIMkRcPlC1yilepytfjMOfrQpTmPcEU03x++VeayvVirsmdUjuqgK19ZxdG6TxT5YjF7hLUoOh3gUKN7\/jN4vBbArKeEabNbuGgYYthgRUU4oNAuP0v3sueAd7jpKLuNr6+grg+bBMD9WhDsVucpUKV0hJa+yJJ+KomeW\/ns\/0ujA5vmDgHXEQMAAiI99wl079VBzWBJvprxR81m1PK4zYgOnjbSwf5SEuaAiBMayveJZLDZgxXrD1JAv8liXq3fD5J4o+dSb84N2ZdzqWfLL+R2XrypCSZzNctoqbjeL5940uuxB\/a96B0GjlbZOzg5gXDA8557rghxYDMcNGzMS1uOnniHOXh+KjJ7O13Ima+vLiJKIeT2Yu029lum2poyhUgu9V8uBpsHAnrcRC6J9b+CxB2WZXxv267UZT6PiC0T09wYzMG2GLlcqdtqlniIkGwtfHOGRUj+jW\/buEGpRz+lMzCHLxSC4ggG23YMO5FAOPy2Qsac3oScMYilcEjJHiHZWFqpqskxmerEee+fcHXolWGz7k\/FxplTpYbsxwjyPTGXNdKtPxhfN5YZePfUWiJ6WkirRqnJ6O7XFUnn2gm3yDJvzjJ2g3cLYx5+gt7yytMFJOkDl2n\/knvwGxCYDupRtzUtHd9dUc+3XLeZt08FKgrNHWsn5t962Futa8j1RhC1CmzykNcR8\/H3hTrxDkO+Le45FuDdXijM\/Jn7580ERh0j82fkwGy9nNAxLw22eucQ0t3SzEQF8yPtLDeWxK5jjRRKbVrevKHAlunXkHrW7efAzIWKRhMgWO1pK7hKqqdf1X+B67qJZw6v374VZ2QsJpm+XR7caNNmp5cuqX37IIWIy+nrFCpS9yM69wIh8MhMFugYUEFimIHQDQm52oyWNg9e9WM3TNtEF8l6IPoMhPLHJ1bZrKDBXK0iEDxvfQuYoqtHWCVNU0+SxDfpI+b4sr3\/44RPnbxVkx\/GqS5drYjf9gdW+L20gqBcuFRDgW76onHL6er4VWa6RQFsMudqGeMohwEmsFxaqYv96QcB9IHw2yglTU\/5WqXi1jPg\/M\/vIY3qiWg1NtSeYmCWtkh1iIFnDwcAYgR6qHiiCUWu628yLH+ZfJus+CQR5OyfC7nBCz549Pm7cqqmc8Vj+11vSjkqB+FldkPOh4X79P907+s+luXr9JZuNYDCQUBSkHGJNJ+Lt0w5hdN85kIts6BBtySsc\/imDg2RCLlAMLd\/sQZXW3jROCs2nnmmOeaOKQQ4q8k8u7HzJa+M9smx2KB45MEDAKfXNpnYSgdAXi6vfm2xPazDyrV44exQLErW1XF5k2UvSJoXfCafaV3ENncoC\/iKkeJeEiJLxlB8U6NptesbcBnwvFRTlhW1\/4+CS88H0iofEPFZN+mmigxzoxRfRs38nFjQH2qcvWJooSfW0SnOiPAMy50nQl8C6VdCXp\/c3K4fsimOYPuw0MhPrPO0BKXPlBoE6\/BkXyPN66FwyPW1OiidaDRpFzDZ0Zpok3XEoj00cupFBg4aY6hUklKUqOcE1T+EHon4J3mu8GB7QIMdowESMGwckaXVBJXYgQfjjShuHOQNCR4OcsGctyeP07byYLNTm8hbtnXtNI7qv6nK60KFYNZxk44+rjRE6mxwM71jbq3Xo8KMVhne1xDComxRRvVWw1hIJuk+cbQdi8XDI5BEtD3wCVE\/E9FBVei\/VPiSZMmy\/147OdhF\/zn3whsM1XjHHxowktysChWnMmN0ec5bPuUdmlLByi3E7DpENfNziHPog5ygMQ5zgI0bPtWuoomeDxUiJgfOqVuNRrfMiwcyfgdcLH2dPemvsZYp4icey8fnsYVeRZM+2hgpOCW+a\/LxshseoBe3F4B3fafxX2tUD6uEQEUvw4lcSfIrcABEIoWSoMXT79XLr8krw0H+lyk4PAQ3j1vNrsyhKVPkd3blSOaVe6Y68stG8dhysEov+wEfu2Se3UUa9K7DoX7LhiKTqZZT6nTJnPGIob+VIBtSquNvfoLwyHcNEbrMNzcPqwRpZ5enpUIHzMMZT\/2uOg2M0WfDsgOFSYOccmt4C+O\/RzmXPCFizDyrY1DBlUCCKSK8DoKAyuH29hkjvKhNVvOJ5WftefNmvuq6BexHs3grK8OXuk1ur29z\/SDQvau4\/brR5WKdBNvuLVD9nA9+HYLn0A4au40sPge2+mezfb5Dl3ezZLX76sH8U78qt6sp9QG9+mhfh4ZnUv9RdpmzhmFn7r5HQzRZS9IFwQKRq7hjhT04pqxTriseEm7i5zDSyQdF+qbd1IwHmEKHDrRpVTqHUaxBlFKc90w9ESV7eLhQRkFUP4+yf\/HWD\/rj8MhHqYWtRdnEjit\/YZ0o1IbVmXoJ+MrHLY\/8zaI\/McyjLsPH89T4piK7CZfNRHU2nS17+c77L7RHRKqNpZZIg\/9KwWukivYc3fjOF0Z98neo1NiDvNFh759InhyHYu6kZaN0BK449nZXkmAfy4rGeDvqvil\/uTnC1xcQ+UtPmnTznqt8Y9U8Mwm\/JwwreqrUe+ePE5p77\/uU7cwCDr3oehtMriswmU2TGy2nD7tE0pxs7H2zrstzfkbnLkB5\/IUw9IGJAmVkcf61yq2RJJ7Tl4+5f7o3BBp\/Inp1fZ0EMnEso9oeKIpVYHB+xnDWjTeNyzjNeaOc2eBHAMl1kYxhxgFZNAbycD+F\/Ay+k\/P8AUtT+uWMQ2EiMYHeHqPLWuHLf53UIN4Fo2VFd147RQ\/f+PDn\/y9pMejNDqCv6BFnm1Xoe\/qzyME8FLAyFIPs5jR1EXLnNf0q5TcWH6nzFy258QtIm7m8q+GQpw7CfvMU2L161Sr0JluogVfgqnC82COGlZBZKD35bw5zlXiAn3FaB6lGKPS9F9P3C9K+f269fPvcwT\/bXb8D9IcKFNquLyC+d5sKQt2W9WSNFQgDFnKUeyXIPVgJbnJPyH1+M0FPT44N5hB0nb5WYROIbN7PCkHsKZxSzk1Z32jPZ3qcczFIZXBrWYc\/dwDRDWbeJi0PG6dXeoqgJwsg\/Cu9QtOK7dPAwn\/I8H4stDECDY0HjK8HEkUlkIjhbuYVDiNYapLnTR+9z85aYOr8UldKuyqKN36dodyySZgmupTloz3Kgt7D\/IS7YsvrVo1A5597nPcOHvtq7pYCSoE\/yk28uhxUT5\/pU3nkPC62i\/qHorViCkXQ6h+kVgqAmLaKBG3usHuHCs7V2xdKgxmBGpSG0dbs4xR0fSVx2HKUAIveuU5wmQnpX\/fTF5tdk0bJ\/EZ31\/782IxHJEzdVPZW\/+hsQlfWCz5ECT03evmD5h1MRmjNPP33cx9gGbpy093UeCiAGheFUjPRZVOpH1AR3Hmw\/oaDmECcyQtddSuJSKpehUOXzVjsV9p7oJlD3++LF6+depVHluE6fo6JbqwyCmv8TXHhz+cS790GAqMgFjNhQd0\/mOQV8Gevixj3mv0PAR6j7auoH7sBEMjAfdMroYe4bmKP9APO\/aP7SxRYURwE9CSrjckNh5w\/ItFII\/aHuqg6LFy7Ye9QKkYiPs9qjHeC\/DC8ibZp+30Q3fZRGwpbwzgrnnLXPu7QVysznp72ONWGu8CEWODy2tGSK\/JKbaDD5z\/uAUMhZ0DcA6G7cA017DOvwV2p2kmGXjjrIWqAxLLWj\/jsUIT725qKz52hrEnFtLM2v\/j9ZkGLlUzO8UenxBVl1qp2jw\/aZ5t3PuUiGxva8E\/gwIA1w+g2Kj\/zEyL0mDj4yfchQ1HI6l\/1Ke6Fj7Ff7mosQBx07FdK88S02XEOXDIA59fZAUHvkUQZ+tJf\/R5Gs0dB8fcCl6KGZifBkYtjKCTyqlu78OjZHTqWRIqWhIN0u3G79VF74v+zr0kqqXVvQWd0zCAAVopcBtgfNL+6cy+O9DzqWgWhWDnnq6qISa5Z4EinDBSc5tV\/3Jso3d0N2pt4i0Bg2t1Wf40KfmDOaTIv9A\/8DAul2XBSAHW9\/vX4l09BE4vfT\/njHa\/6rmxNYgNTcJxHNVyGEFEzhBQDmCBEDcOhPVY59L1ek0kCCuPSkdVKsUY82CJIqvmbo1UDedFbum9Nclso08xdBNseceqjZTZXT5C\/gEyBo+Ac4p0I9OF2YmX1HLJyBCAlvAFLdXLfiFfWJJqztYaO5rFOiCqTzG0HB5HwVx\/dV\/1FgJ40z6MRCJZXWKmj2RFOBQnhZ3lwIwQNJD8F3\/w5bI3aMz3aiMszhdbMbrQyqJGTamvRb8G6r+nOq27BaEESVOcTigukCyI2XQ5qgQL9UCBrV3OUBXrhloNfi4e7YthozOCG1mx574hRBStdrHVqdaynTdTHhyPkmHzUSJ5NIqsM+wQRWaFa0+KX0iVwX7YpQkPYO1scTgzsm\/6b55ys+6rL7xXMXAHSYXVHQ3L9n28RvRX0yC7tW1hI7w2bjK9f4CZrVwj87K+PEnaGaHUwFUthwWou69BYrtVHVN8zdfIoK0zG4eQLm4BSri67gcHhbxafIXcZpPyUlkIB4Jn0TSfGwpR\/R42Z75M3o36erGC+2o07psGDKbIbpTRoQk7pPuboqLVQhS83eYCHS4bxiDjYkoZtOk6Nv+O4UqYeLzBU6Pr6qh1r3Sfv9uD7GCAyETXyhS1KsECxHV9hymxEyKB\/PvbXAyN8mYKbUp1K37VveqXqUVG4oB4i9PAgwRuuXEt46MMF5l9AnugUGWyTxcB21FYeD0dpIefC\/XYwbjrSR8r8f7X555XHsC15rixZURV1zOfqrIVRxP4Mtt7JX5J05nkICqPXVaIfftkPkjbVq5zPJ3fDaRfZx1CpOr2mmd1WaXxrlhY8qhcX8\/ZJrbqilYJ7I0juUfHIs4vRNSECB1UU+ifdPpZ8qY9Z3ivi5I9H+k6lWalkn+OZv06mWg5wdN9nYhea37q3+JeS8OBBvV6xVffwVlXzcuu7i8No8R2asdNlV5aVGEmrpbrLObqZO9j5EfseMFCIbQCV4JPjJ0O41iqitZ\/cpp+KLGkJv8M7PdcPcPW7cHb49vZlW8JGWcf0RApY0xmK\/+FGPww9biF9GsIlduK\/8xbJsa1eummQ8z\/xSbFP9JiDQQnzZIsTF2Jfcgn6P4Mm4YnpVXXrTBR\/WeSTlkN\/e6eO2edZc7BI76vlBy9jgEBjXCbvHNxhzWmQQ57a\/RGNDbBsUceBFgJIYlrZ5bv0wc60a\/aJzwioJW95gruW\/EKi3uWMnwlJtabxjdppP3GkHeczYiMSj3JVMObqgjA1Va5ypUHXLRDTgCrx60494L9LTlt09hNpQlGxp3NRPmmVC8Yq7vQBXwgZQCipW3P1UIYO+MnKbJWk2vF+dRwMP2L9TwiKMrHt3CQvVdNkiLky45i6P2tF1TrCwAE51mkF08AJlRq3duM69WtwAizivD3EGiy3sqY7oDDe5OC6M9+Tx49wj+UyvFdVswy3qXbRXCodHzkbC0dLtVFE6wJRD72qmSh3A9RYg5HVu3RVObQN8Ye7F5PLLoRQYc9GjIwYKgKqb7DBGKn0WX4CG+Nhx5CeWK5BjUcA5vkEADdrp+0ilXNLjwpO+WF1VKRBAkAbuIBkrlLdb7L2gzt9JVaVdDXK0DgZADPl8keBUZa7so3dlHvKgF4BP+KZ\/sRovAtdEgOdaM7Q5+QlF5klUeYomloNF0OYUycMNyHe7BbG7d9oYdwXgqo4DPQTjmoPerSJvNFZsDnUm3hzpNh0jKL\/SlDPgE2upJsOh46+4kOJ6V2Qr+CgaPo4T39sazIVoAQNkN5ObOKd2BlvCV\/vBsDlknuiej1Ee9hmfnabahONohWgafDQ3m8Cu+wCMOgl8mplC4MaQjk8+jisBcKk2g9eAeF2dVtTGL9qDU\/+\/9a3qYtVpwbGcl1gxzhbmvKsIl3chHukEb2Q33u2x4RqVJ0DANeoY5d6hyhEEGLL1mFUHnJ8iZaWdYzQnOL31nZYfdy+AINSxKK0r2IN\/Op+9v2HgiFgbS3OwpIEMDK0lw2hw9iR+NwEMMLbWfeROJx2Q\/qBBwew4PxQQMQLbpwZk+YcqssL2927KAizRdrj\/z6jlL8xJKipwdLg2vUzgVm7FhQ6+H\/sm25Xn+NbjPPM\/k+X\/eBSkPObwK2ql3BQw52l9WSVQctf+np8rBe2aX2+xy8acmjr\/6pUXtK66MytEih\/sCb9g0kCQ0cLCSDQnAkkIUf91n7MCgKsj4Y8xZWIm2yrYUYzLc50gLFuLNqyqNsZcSVb3+V0+MhbEPE+FbwvnbEVdrGoRjetjsb4zBFQZgFJM+3WJMZle82rypCT7n3w3vHbBx2Duh7EVpnXwdtM\/OZ74y9vI2Qn41H+BYES8tnq1hC7WbuSkau8+S2un7ynW9EiKMAEQ5Jfc8DaktrXgUjfAIW3enm8Co0SkKUuUIJuLWKljk7YPhROlhm9vnZNTnMSkisc+TAOlILKrZ+eqrvsYSuxnG3Hd7p5qdlk0IakutK57Ci6+mTMPQ5xJUDAUy4KspzDhcGhVH4Z6JF\/F4wO5CeEiFF2p+fVfohB7Cxxp0K3ikyZSlo\/ZTF5eoNfCG05JOjF1DToCOiTfRXZNcTLj9HRv13+MY0vp68nKSw8kDgFBDCCbZLg3I\/ZdmBePiDUl1Y0WsStnEeoNEestkv5pplOukJdPvW5kuOLXgSj9mt9bN4K60afv7dwwiosk9Gne6NHhECiWG83OMzNFgXkjcjEX8W3TflUPDtNouZXhEJlMXGMNQblWoKcEln4qsk2glHHSVry1ggI51u7tRzI17PIsggk4pzosHW\/ygjhqNL6PLIa0\/uGRvkbnvyrEWqysUqqoycDQ+2I41Q6I8oOBqHnAtI421svhdSY2TK5nWHP\/pXbZEuBuIEt2eKys7JIdCvNX3MRM\/P8M1nAVdU0M7wywerYbUfuOtjhDWVa4FbY8LSBnyvfUhPS4RQshOd\/prrXhE8EzagZlRJP9Gsy4hUWde3kTGHt2t2+4+Kw4YYAy43jSU26f+9uTLZgI3xI6S30gHZ08K17THJ7K1y0wq32hOqxiLIeG3XVjcyPirJW7450e4qz+8PwNq3fcucS1+b8YY\/NTQbEuITONq4aViohlif+R1y\/Ii5zVat6wJJxwFcd4sDovvXDaF5BWRDzMdi+BKWk7rwm6eN1VHdDis9XD2hUKGC0A3i8iHQHYpSOVyDO7ca1Uxy7k01ZHzK2qJ4IZizDRZRXCZg+SsIIBoAkp1rR\/c\/+kWztUpSwe8YWT8OK8QB+RfxEzTdNN83VOrxF\/C3OEPCixOecb1p7uJ+BXmqd7bj6g5oSMyVSzGGCAZWgz\/upEp2U1qC7O+ryMTln84\/vNzvLzpf5HCcmS4MezCcHB3VFNCRF+6FlNVfJu1wEQ6ufWtEfEtAKN3nKg0hk5A29BfgpVWC7WlIzk\/wrHSNzAVVASivZidVODi6V0fyaVfQzuoyPjhIRP\/lpYte\/H1i2N8n9y269WhEj+omB6wqw24seAmKmz0BbE+Vuq4zBHCey0bNJI\/ome\/oTfS1+xQA4uDOIT9Lw3dQ0Erk19dj6E8gnHwrCtczzGeGEWyV2\/Xfxf\/qEnnROu6fj+OvAB\/Kp1MhqyLplTaHHn5jR1Ban2HiY9BceypHdAVsNENpmF26KDjA7kVm2tuoybe7RHiH98b52lo41aW\/i5x7EtlAAYucTw\/tDsCeHmqFOSdqNXH6QkclyEKh6l1+ge3SQDIG\/ByKStLc+se2UBj1cWukP2+RlixA2uiT6pX6C58ef9QLPdDVYD9MU50cVuWZ7Xvcxxukdrj2DyORQEaVmU9Om\/8xkFY7aZOnVUz55WxvDVyhVCvyXLd+2x0We23mkct0wrBli0IR+2VPk0rS95y+5Cr+a\/bQeBgvGAxv9XSsdqr+tA3zMSpyPYIvmG4XCa9vy4uiEou+PU46fe5IOtxUe52eSqN2e0cch40C\/8JaxPeR753iZ7f3ss5HsbQF\/HCWQos8LeXBvEQz4qJUyEcGGpl+LKwq6GdqWsm3O5nvsNicNuPEI8vTR8jIRr\/nScj2+ik\/myAZaIlfM1GI4+bp9En+4yL1lUA67PEbNLhn1SBX3rJJXzXgbEwI8U0ssfaJ0mLNPl+p5W5lLETYDjeyj9GuTAyGrKBB+tUcRFBI2hjqStK5wbAx2gkdmufNwbha+jNKIR4hWKJZWL6ffslD8otK3ioJl+JCRVuIbf9igJcxaFE\/nVxjwc1HV9uQ525MvtUl+HW8jIhbOmPFif9uUp8PfMFclHhWSQf6+zaE0Ers2SXW6rt7eX28iILzbKslD59pIlHc1HFIMNQPA+zIFGt1N2h+NKmqhN5J8wjpZqJDj3WfjEdfQC0QEWeisN9bZ+uG\/CL8WmF2MKWHTuhtoBtwXWPFnCsP6vAgaw+udjVbMf086O8W8t7PfItCtGq8NdZDcLolSSWYjSC6k5dHe5JA4Jh87v8EchQWTitGgmZ2FrZJ3XiQnaW3bDCHT1tlsaQzCJYTp21X0JaFeViI00FMf3RT7js7iDBF9L7fJNj2yu+\/OSEcgMjJQTOM5CuoYaOTiByP8rfg\/tqS1mhxEy4iEzMi\/x4FE1jverutDYLcLHMoiF4Iv6ZofSoZI558G\/sAjHBCB7+19Sa9PksRWrhJN5dxG7SgxxLJfjkAK8PP7igeBMB48OMgHD1NCULavayIZOePJ9jk1qyN9Y\/L1YrwUkgeypI\/yV0ogjZiyJm86B5Fws5AEnG21gVrTUrOyzPmc7GXVtrMLNJXh8xDUaDdtNjUT1eUHpDxLmPywbz\/8OA9kN8xZ5kMx21rvn3nLfU5rnMaCRI7\/+RRiaNqsfhBqbbNivAlW5fU3RLvUdEz8BvtegPYBQgEAM4iSlsoyP21RaB412x+s\/SMfcj5ZYtEXBduv+6S8wNhHENsWwZ8HEXKOTvULqoqdOQ5Flac6fQLj+HPqeuVuNPxaO++T\/SHguRs69cn+R2CwNR3n41BNRAaJBb7NTzD25Y7ZLmZ5dnuLH4nRJPXP\/Cz249TL0wCJprwVSPZJ6+ZhVb8\/sM5FcsYJ\/xK59q76d0NKAJjgisQoSD86NY\/sPRsg9kKcWFbtjgM28IFkd+9THwLXZYkfOvhpHfPkPNbpTiay3CONDtyKEPS2Qj3sLAmaogZ7IFulCh9WVAMcSgFvnd0cJbifVHu9tnkgBTF\/jkmfOyXWAJKEZlF3Njmr\/QWtNaVbRPxCgDu\/zqikghnyEncy2oAOBIeJentwWzLLKj6WG7HyaH8osBW6kp7TC+yDZXhBbXs\/MdxyNzFqSBIL8hFCtmBg3tTAf9VXg\/bLoaoAN1UiQ1GkQQ0xY8aGUmsKF7n1Upjqu8RBwCVskM82zMTDxKexxn04s35+nS+AnHkx6PbF5jU+b1etLlanK9VM2JasGnyECIf1DrpBgPioIlvtojXTWT5jW5\/zSR\/YFe2AVd1foApS7aYBRRG3Cypn\/\/8n4Jm4qjGq3zPRpDunp+++vlnL4UAKCB1Kx9dzpSABfTV3VUYPOQDHaXgaDA0cUZZ0Lt4kw5bcLPAXjeLUHmGU6t\/X+HY5cdXYNtFqKAgUGPoB4j9bIEbhK4Q03r2n9Am816fknLE0jS7MpOmf4We+tYmf085uSmmxEtWuZXKzqT2yKnlO3L0H04tmy7HOyTMPtI8lAp1y2teAKKGPtlSlQT3FSIrD+rsqUOF9DpiF\/gDGu5c8FBQAKv2TW2rcaHC9AzesiyxIBs7+P1qMKmAkcsU1nrl0CB8pfiYBC3BLdCwFa9UDbe03oZLwZkCkq30hutkwZvoQjFd37eYMDADoW4BQdcCk6SdwAitRT6NlShLU0ZL9s8AbMxUjWK+uxBjzs15kZEAlDIXCfbCAAcPgu\/kOMLtiNogSz1RZQ21Q3k988SpKIyXs+fh6uaoEbvGwktYUlRYSDN0RtD5lcAfzao6qPytK1r9rFZTqqYTsDoyOSHXCiwBBLqn4KPy73ftP+AqisI2UAoYLXjbIt3e+39OMmwMEqgkjtv8ljB4Yd03hSM4CbBvhivydBilnhyOcZTJBdu\/Q9ZUX3uOORTn+C5iClXO3NNsGoKmXs4ljBTPBZYuizbbLgbt+Pg\/v2Vup0VbVJvxW7fhHUdgySuyzt\/KX+bbyCICzD28FIzt4ED2IrWAVkb9bca\/4S2bc50WVty6jNzubLM8xVYzIvfaMNcCeigYDh1nOsQYdk0I+QGqSXrWlGQBnqFVoufq9OORAjTefn3mfqgPBiwOdPJhEswhrExxqL73gCxXQvOhYT1d8IOVmLFch9Gi8+MnV2WkvLztcosTvKeYL\/DbRtIpKqXVoo\/xHmWybpDxxQND5Pm1G\/AQtPDy8zFGU5moHK4jlNH77E0ImOcB4ZWjjeDopkXvsgMdARKFv1dsu6l4Q953hzfQ+iBS4JnultUcxdrABAY6jYDWfjUJWqqCBGaNRvQO+KYhwW9joECucJ4jJxNGH2L4L+ysk7k4jtUfsaC+SQcc+5eutpdemUpGNdf9z4wKsFHCrNpwGhgwfZyUR6se6d2zjgRx31LWHtLwxjViTxr3GTsWLV7bHvB\/TZjbAb25YVSyLVGYcrjwKGJxxotRH+YnOILQ92WitrkjqKb0CvOE9Af4wARYEq3r1yHdEdO9GWIhuYF0c2YgU\/h9pKIyg2\/QvZjLYDuck07e6WeSlyROoTTLrCpXVr3SVoXrnvxnQRke5Lpg+VEB6nbOJmZlsA20gZ+nD3dksV9dw7USnLkYEB7kt7pST2QJA7gxCdyNOvMBTDWJKY4NUVso5k74kKDrEPQHDZTRg7nzmHmPyu8eFT67Q3K\/wOcQugCiphOYfEIk7mKkP1sFdJsWQ5zDFI1RWCaGuWJr2nzLgLiwn6F3L3k2l4mYdJ1EvTR3k8qfwuwaKTMPEb9k7v2LXxMJiKEHPz4y8vPEBa38w6Z0sJpcCE05+QcdV0XSVfxYNGNz4PnB4EH6yFNGjFhnPLAWWKYxZ43BNw6+NH2e7Ejf+zV5\/z3+4VllSaqm7snAxFaSBxiSsajEKkWziyf33E2bs7qhoEzL+8HbAQxjoZjsVpV3UXekmL7gjnfUZcq6y5BMzCEObh+CkI84ilC1C19WjDVNOAC1HKukQdTujMIR7wdr98fwpKomZpI9qP\/+tJbM8TSCPQJLeA0W8Qeos7i+XPH1VisSmphlAtTC6qCs2Lw8wVETT687X5QN+6FZNS+F3dj17thw+E6VugkfWAxbUmSdaCusvpU9Iavp83ZAdhWHzNJwimJjmoNqUOgKI4QbEFlW4CVCONMtQhrcH6C8Y0iHH6+lvZoqhN00KzoPYDahCeuGFLvpCOS+2yQYu\/Evund6HXmgM6n3WiR+40I5patNoW1+wbavP1WDqs5ypy+Q6IL9zrYPfHiRcbG27NDKS3Pug075nrHLU3vaJO7E73qfhLJONn3sgz\/eQq9Ie\/csCZ2095pFNYJnysXr2dbCYH\/+3FpR4iEZz4rShgmhM5DXdowYm3ZrqkVJUOayrfPUvLEfNtmumcFC+bRvo6SzFwGXlqeqaTmiPAGxG68J2HmcI8FN+XNHXat1R04351bq5U4Q7rLPYmRnKQTVuPzUlMCqHY7Hdw8gR7QHifB4+1D2AEh4LAkg5J7\/Z9FuUVeyrf54mTz7C24BbiVmwigsO5+JZkq4kMPD55mv0UHcENdNcYuRRNwvqVBsAAkM7Yk6SGV5wVWA6eb2YpTp8Tv9FHebbFYcJg8dx71FKMyk1EOVfxBSnugSzvK+lvjdB6yTha5Y0Vu3KjNIQwxLbC3lTMJcGTE3Mo+rsrZGw7RiLlK7Kw2VX2Z\/wmL8ScNrYwsdlg\/QHAJv4Cym7wOewNCnG9BZK\/HyXBQtGF\/nz+DfJqsQRx5lMU9Yw9pXbpmvrDAH0Fbb89co16EMiqkNFJFieOR9GlqnnfnABp0BJy50tPmiQ3L2qXlj0RN1z8RBT3XHXt\/+shLcPbSIY7BArwt16I+y76JJoI8BL2hq0VKjw1sc9L7mDwwiO6q+e+puk4K7ASTWHnZkW2KToN47U1kqTZu7Eh2vS5AlKl5EmSvFhVbgjSoU\/8sFj3ZKG3gfAGk14yK29nw6pHIc1RCYttjVtlKK+pnTqq6nJ2BEbIKRSgmOGkwU+Yd9XcF2i8oYZY1EC3EDJ8csR6tDGjwmBeDRWReLMA6cE6VfJSDaQTJFnpVgYYX3nbGgTJCvhU9X2xyuNA2ewtQ8T8dS21tXDIJ9RNLgvspk9vycjvBegBa4YKRD3Z459KBBFs5+7nE\/28xkscdJQ27UHQVdpKydkX8x\/gca0UgiGZvqx0JkxecvQ3Xh0Q2QeRS5sI6j3zFiFox8aVhWo+oAasNDsrKZgGuCxu5mRlXjx4zfzPicIGLkUxbLXNyMo6PTLUGhl6s1s+Cz++GdDcokZxTR6\/Y7gI0keZcrndyJ+1BIpjwIQtz8hjZliIyNecVHNM5occ2KPKVAkRbO3QfnEwItQxoX++XnhXg6BLRkUIyhbCZv8OD\/TfLFncjhxpSpG8B6YNqugnh9HjlRlr0\/NsaeRNfpFy1uaN8FspzF6G9Hi0LTmUC62A5HlOsPNziHlHPPz0Qrl2GrYMJVi4pGX2mYFvICKRD+FKPKVm83DuHh7v\/Q5Ojd8XTJRmwVH3eVjU2PT5DPYs0wCV5wlr\/eS3MQeZCHSCg8rRYWC2CdfSG12J3P\/dXMy6tZ60cSfbc1TDjoXS5K68hGzRPL5DYzbSSHZa7HUPgRSRXqpogMsghldS1CECIIKycmWKFj6yvp6HbSQ3gyYrP2gy3e1f+luDSDfGmmrr+IE5t90tCr7MEOz29Xhrn1H5y1tyhbMhQpj8xZdCAnr4gA\/rnxOq\/mgMjhzVm3FoDOw\/Q2VQGhZrQ18Enhz1lbCIdeRb1jwfdPv3yKLcWsVwcD2f003bpvEyHXwSsZPdoQehq3ZcgDIieBVceiUtPtCdJDtoozySjKIstCOmkinuqHxJXuwFlM+SPSWtJRCOpyS3BqPa4o1d5fx61YtWYXZByR7z8WYI5KzhjW1P73ipinnp0vcE+Xr6G2re+oPymNDC2B2E1ocLYP\/U5TR2vFUhEHHdPcA9aDlmqALbm4AAlIa+F\/pqxndrgYz3FoKSuwlzA5kdLUr7ajI0NAUDoy1tyVyKf5Vht4N1fULyaCstVcCJ+DM0XRRhE7LobEpXMSVSVZgSstFoZXNC8uY4CrMwD1JszlPFNQDYCrgOaIzsQTgk0qSNno8Hw99ICGtPmXXAHlRffqr8SIs4sxYbFUTj8PaCli4aWVOAzfUb5utGyGmeTQTXOHZZzRxCKYA0Bt+1+0w5eIx0rbmHM55js6xW\/OZ2ODvRaXZHBGZ9rrL6PGd9jDkzxXmy8xbBiprQB1t\/QwXuzBfREaaiXEmA7dN6jcaSZ57Mbp23uX38F\/OjfN+fbUnaeby5CJ0QE4Kx5jplN+Fcxq71yjIryMQthHxKT0VYn30fvDKtFhh64pjwyM0v5JAVBJ0fyDHw7iclO0eXlJe7550q4RPXrfuaFON6S7sEf7C9uTj5oJxQq3U\/v4cQ3JSni0gZ+GEutHCFFrGtGAIYjW63zEmJBYpP0xUx8W8fzrbKhEcBxNBi2XFcOgiY3l+FlM3yAnph5EWNrtcFsTMn4EkKBsBF9+mIm4zdqvHyr1gScqgUyMveddQMR81P\/ESWSXGiegP5zhKNewTQF3hMkADEdc\/k4DmGc8xtxMfWbbM0BE+DYFaIyz+o0a8PpoVaPwzOtXRXIwi\/ENA9NrIvx\/6KNTvElg0CVItm0TpnyiNe57ODX\/VsjwEkjlBFJ48WwyiD5v6kRvh3iEQIMB08afhKI2+fmjil1PQTb7wecAnB6FfqUjmhezPe5oeMpiNHt1DJAqV0ic2Umgq5HNBM7XmmauiRuu8FzvlfT0VlC3zRsybWMPEgv67KdoDMbWv\/hY7dcvTnkJIh1+LOaYiw79gQ9nZe6Zge\/i6mjbYsOH0VQJcdKRNghXFzd6uFNEDq2ApOIGANl09rjZaYxJ5COA8aq85CucfpymkzwAThCYosmHUCxpZzyypwd1XUOz9E+GMFmAbBmVJ58oXMart18rYDT\/t91He6bHj0gGFd42FzzrmxYSZAeDC7KgZpDPvmCrkOFBdYZqrTGa9BKUYqhLQVSw5kTasaubxOkaYxjKR15MlQbaizFxYzbqPt3Ym1b1I3NSIIFc4bV39ZQUifTYFQQMipraITbbbpqiuFN0Jenqq2zZHodo9pkgOM7JdpVBcWYT3oYQ+CMvAceRzQbOfKjxble6\/iC+bduFYEAhl89yIaAW9ovbWtGfa9VOuR2qmq+g1UPld2NFqHUdTbCrUdTkQriTKEv68xwfvls878HPNzN+jCqUNU2Ot9dC8nWm73WECwo6IWcjRo6LHuVTHnhjWFyNb5t3Wn9IP\/oX1rsxtvkV+aX0jdxEv\/qUc6SGVOI2fupL77NkVZBpAI+L3Mh0YlVxdkQquwBlOfZxe0i9ty8OBaYnCgWkJf23qWUvtim6A9wsH\/hAXV6zq9\/yQpre8bWxQeMnRGy\/M1Ms9EPnO2nMoye\/H\/nre3jxxMm9b1goGXjWE9Z9h2x8a0YZDOPvxMj3XEX1yDSZE12kMqPh3Mk\/UkFkenWQMWncuoqSLgQ7PXuPCAF\/V7DBbjyuaNTbCYnGQlF6Su4zCufpQtQOrm0h9WT0\/r7ERIwotxsKSLswXlhtnXYLMJszEaQzlunmOVj5jiFlAESNnTuCMqD6+\/jisWFs7ivjB01mJZYdaMLvuoGhuvwKIG9uERhQSc44y+titUv7Je+Dbyauq4gnql5UzERKg95+SBZNUYJ3Vx\/Ludp+v3RnWclZ7JSs470VLz44kjIaSGROxcCVIYmsnnEnY02NnJdyjGo4p6b47ZFFFV9IXK3pDCce5fdVbylG\/KPS524l9jKOlyyrwyofB\/8PIh5iJGPhGOHDBNjHrP5T2dQ69H\/P5zLwWm1Vao8Mwl5UzQxT2GrHXTyEHA\/E0OrbQi66BRc16KQ4jaAYGALq0M2BTb6YVZpPy1llKyT821NIAMQTAAzWWpcPOGSBK6VjQTJNVtVbJIcqy\/KweTvYuakWgsyaWaMhxoCSon3JvFslQo7HBkykX4uWLJ+XKMnLAN3xw8rlNfbHlEZgikUr3NHPn2mQS\/+n8XIINBO0IXdtcL2E5k35bDAzpBbYrzFwl4t6\/GXnBXjeThEJuyXwQT5\/NM4adsOFZSni6W9VaYvNj3k2f3yMOA4G34NAlYahua9NiJTQ0MLJ08GzyR5u3EzIOk0PlkBiY\/P\/w88L3Mt10ygky3JqzKumTqvHr6GVogQWKDE7YGhALvBIWqFFccU7pWof3QwJluCk5oz1\/J\/3XgHSefb7dIwiND5ntSKFGMnl+tqQIJJMbT5lbYsJP\/HPp7qU39ohZ+f0AUcZ9j1taqxq32XOUshpyZGIziw\/SDcVc3HsOc1a6\/QMKZ24LUBT1xFiXIzrHRgfmx4vZpGbyj8gSYZUkUolasZCTeYwU7mrvJdQ8QRHkjVlVFqyP2kovYyuusAI+j+A8eo9lW5qOVa6Y2J6wH\/bNyUCK+SaiZKA3zyJgKeeyRr4xUZlj0EmKFrwafgaGQJgywJalmfk544BLy7KU+n4+YH7GxQci5T2kt+j+zJhuzcTfDcBtflmNXBR7QRyEsJ6b6v4k4tPe1lfiS3cR91h2JmhGjH48SaDCYBDph3xF8GPdrVZ2erCBh1agh1f+swn4UqTnhGO0b+S5NFZikwqygp0IJIL7arGqewqo1cJyvV9MwvXAs9rtbcv5VYexfxUqkLOQX5A4buY9EQ5TMTkTiLy4Rl7YKI7b34R6V7JFEhJF5TEAc\/RB\/b\/WnakIxEE\/MdKtbe6+SaCs24gB+PNXoFpOi0gP1vsrrh3D4VhpDTzYWzvmlP717cLVrCXLsFBRn57gQdkqyzzvJkgrovR+RK\/7edgzEoPmbmg\/aN8I5YViK6qf8Fmhgjxv98XpfPTc1eL7futriTPJz68EqrhZerNvKbXyrv0Ir1r2RtZTaZ4cMMDsh7OR1HMIiq7eqaeJdARaEf8NkCdiZ6P51N0eZNOgk98\/vavG0UbcFA18h7kltLAnzmrjrW6VsjA\/LgToVImWEj\/C0SN2IUBNv+fufYVPC5R\/3jGEyXtuPndv8TVtjHcZGd222DnuGAMXVfoVxxyMeale7MJ+edFhsxfgAZUjpaQf6qqiUtjSpQuwNpH4f70OGs8A8Asth94rvLZMtI1QgEn4wvsDEHne8ok7SnfoPrkwkaztsFMH2jRJz4dDuOAggTIaeYTtCbGcv4HPWg2W+Unne9J6bnAe5lfXFtAuiW5OgYA54IREw914jXKHdJEc6u5whNcCLCNr2gL6bff+XDcrqBX3d3DcEt1YDvumAornDKo43awoAAvFee2lvdPg4mxG9qZm25qqdEcyjsgqIGyfQURJjaT7mNb+2NqPfntwY0TunSFkTKZ6g6eyZocPsg7Wwu9mJ\/I\/p2NRi58ghrnYF4\/TY\/L5C1q8amcJPcCgj3XWoqQfWtZaorVgd9ZBQAQlFHfSMHJdVKcj\/BrJ8sVObQnXSRifQtnozl569iDuX\/Cb2mifWuaI8L2H9upqyVUoefD9hO8VX84Y4xLz5toqhuFw7lMsZxvOWPM7FwYJtMq7hx0L2kyEt+2dbEG90E6nz17AOvU5SN6nRslTHOQx\/wNks48uxuUSjxlMSOm\/1A26W0hLYvaqFdAiYR01m9SozyFM9hHutQf6d2fcyusd5EbPvpw3pMrLDh10FQSTVC8hYQIbG4YZuc3cyQ2gCBmq2jwc2WXpJDLe0USryKGbB\/tZYStExwtm11YwRtLWZHsA9fe4Q2hl6JsHQYk3wOr1+TdtSHPGEmSg3xFDBCErrsknbNR0krYO4dIRezl6dUaXZcprXP4mxPTcmZT1VohMxX40MT90aqzUX0ourK03DbN6Ga0vvyrboz8ps2Ic+JqhO9YYajmyLwMp23UF+RfjYjbp2bh5HFIrs443COKuuEVSXMHpugMGNKlxJOE+oWCybj8F7ho8jABtLy0vJjtUnueNEy9PCbEzfE1CZaRKheb1ykop71MoYZtlTniIZ9AkJPy8woc7VCM+o4x9UHLXR7TSrKJNvjRn49waPPvEVjlPFiZKdBpiEkl+G5i9jB1uoKfbLCVQtFkpTPbBH35waBDJ3W1i5pEsyKBT8Va2FwLKOYIDdsWevF2Tj5pw6q92slK2oFlT3B2RHpliirqC3ezeV7XGBrCxxVORFMHJ+9ZaptlsNtEXkVWr\/KGXmjtTO3nP787Zz6ZtM+Mu85BeeyGEE\/GQbEEpAA8tS0qay1PoDVegrrCULhdCfb0\/AAppxgOOMBtjSyFLQfKAdaNKeJKyQITEZUbQOEraz\/vz+8F5V3hwxLJubSPFKp99LBk1K+qXTklLZNLt+8ADNbIveElO+ekt\/L+M1+92JSMeSRi+iQKMj1314WjLRKyGClaXCyNibP8gA9+IEDjoatBObmDT1WMUlk9nvCGBGC6GA5L5YXGRu1G00YFNVnhlwj5bawRRwiuKeASFvbmqUZMVgJmdqgVVrxjj907t7iBohhpdOdZTJgyLcONZNi+OoWArXuFzYQ\/ABwOcz2uHuh290A93NPXe2CFLt9kKpSaJU8O8TLgAlyIYSW7XY6N\/NxisOxw\/kf9qN0eg5a8CYsL6OR0dx2ZUs4NFCmxXmAd991HSfF+yocMDOj\/cpQoAx4V1eJg3f11RCwSurU4k7bckPfJK4s9+iUNOLvZlXdC8\/Ej+nmMFsXlkI98dfrbsMkEfZffL00iBFugukaA4qZSZdf33BRVy5FVhnIBzc24yoif8Fe0ZitDk9sxtrSm91AHAsewDULVqJzsktuwQ6SKalbjbO+\/1c5jS8d7fN3hcqkXLuKiUoDwWDRfJwBiq0YnXKXIAW1mYIgX2J7i50cry6ZxsANF+8NPwPlQ62GGZSjmi1Jo0yAF48UsUljhGRTRlSGPJvT4xhpbkaYK2t9gMSU\/X8bskT5NMkUtWgzRWWh0h9yt6b9u8yb06sFNRI\/HXvQbvnmMmuV6o7tHJRDFn9nY+vRARmvPTInZGJM3CIWVzyGSIHFiTF\/0kSzBPN4oG7s6QLFzSr42DD7HYKxbuYOTLt4a6ErXhwZ0UQEAnblqhzb26n9sWUaNcJM0eQKVgtiwQwlVvUjUaKrQL1+y1d2K0spMt0++7\/RIeVQ4FEI9lxM9eqbAqUfPCKcpBlrot3ldHYP37EULRZ7reM51N8JuwtFq0sZffSCkoBcQRdsKxdfNntkoCKnehbEy8fHqQrunJXLQtXG1Pez91KS4u4nhYAdpoQqEDB6bWoPT4W5dg0j2OJpvkwvW53TkjFob956Pn9P3\/RQsMBVFpqGUosIW0ZcfQwS2T\/s095LuMj0fbVAMg46Ow7RIUlMCHyv\/1uxjOvHSncHlmKZldg1gnsHA68JRDi\/dAL1xCtdMnAp8k6Cs3xLMkDasG5aQ5\/NtzGq1iLuChAh0ANdOrz2QCPJsAuzSb7WjNLFRRSgqiAlNmA80V6pGGpWkQFETuvS5Bby5ubUtyxsDcucmnqen8U0o5+8B\/L\/FfijfJ26fRZ4Az\/PI\/Ad6K0srbCF20BUN3axr3GEiSz0o5\/XT0Am\/+lcXG4nXicvF33QthzzVUsqF4wiLDrkeXm95\/6I3ZRzfryqLFuAY6+Mu9fdVtCvh+Hqgsfs4lJhpwuSR+BAEKlannUnk+r5izikxrVWdegPFvxEfIEc1wHOqpLgyRAyACNPMIJRHxYKhQPuUae246pkLSd+jLu0JGkIbA3GPrD\/daw7xIcCR2tZLnOLsCL+ibERzVXNc9qrUxhNgEcERnUzOYHY3uVnqPayUsxj9mq\/wcmYKns4BtnFflij5QOM\/HaYNkxUxETRJNw9B1s27jFUlFEh4QdeR+C+IxCVqtJaV0L4JndFwDRiAmHnMHqjw32HArrsM9Jy5raWpBmkffyZ\/qiBxsZuLJ1AJIJMSghjAn1TbysgfplKiSV4KfqU\/7wCP7oyZHhUgS\/L1\/7xoeofEhjxh8Ipk6FpB3CurMNlapd2UHf6awgSC4fNOo+JY2rYI5TyiPAOIHl8Rv929og7sDt1bKrQIBpar\/Dbz8FoHNOUJX5+D+ds1IuzLl5WEPbbZLM702iSH6oPH+4ORN8VSFECkpjttnWSiVz2yyULZEwacdbxWQfDBPMeUJD10AsK34MsFN2sMLAvum34sRV5BTeGs19b1ZLuqcrg5BCo+6P4Ir9DUOmjp+XY\/iDiheCouF+OLc6frQcoiinqkudDhHiC0OjqIdKqOV3JFruSf8Xq6iUTTMqYB8gocSYVP1weCXzXus9aywLFNvVZC2Z1rAQv8wKqbeq5+JEJ6NDHkG4lPLw5n6uV+Fglhl8SjrTSZSPg2Dcr1US+xyRxOhmHtDm57s9vstSzFu6RL8y7UlEXrzpxee6nVKxFkJp3b0UpnPW0y4bpqXFyubBcOMjPZFGAfmOSMqcjbpJOu\/oMmRLgiKvHJ04y7oTQ6uqz4OmcBBGTNcFnP8NdCBOlON1ONVOvsEInw\/jGhBPj6BZCsgFO+1nKFRHJKwEd4K1M3D5fezzsK4HtK9ZTuxL5kaZLuXZImLGQ+TD4wow11LmOzLl3UeoUFRu9I6zBW04EZRsT2\/Im1WLbg9I6LTQO5tI3PmA8TIZ09k2XfvjsYhP\/3E\/MTFBe+pRXIFK5jn5bB2lPT0X6MBE\/lVzhRG1tbL8vOUzXpzKtQrYbUgzgEzhxxDw4jIAQC+jbexo7gxqbTWqVkZaa+vt+NUbF4SAbRiMAYYYjsoBFgEEAvO8PSat1mEbuQgN47t\/ziDk68v87ya5XtxpvNx0XeexX1prt07FIUnAhit5xKG\/DPbeYLaxY76WGOp18rBb1P2XZh6jlT1Km\/Ub2SY\/Xva89o4JNcXnFsJ2fF4FB+AbrPmjD+OgGuU8+PG+c968qn\/OCVDGZZiOlolIqEDOlq+rvYb02ywzL+MhQSHVFc9AVhM4zubH6MK1UsZjnll\/A5si1ZoUjJVLYc0fadCc0nPuIc0C+12knzmETXoyL8nIT308BQvCxXjTNt1R9DWpW4LgTNZZ6FV9664bxyFwj\/+YOlZDTuGYX4T2dhMS1AoPSaj9FlQoSGQjaPA3O422a4atL3XuXfpf2WEt7PNx7logoum2qpFmnOlm3EbJxf+VsRlcmd0I7JUBw1ME6\/Vr1z3+WeuuVmfpM9swLgPf5NWevj93cMsO658gCJRfCFLToJi8YcP5R354Fn8FqofVhanfT90jaUtQCz\/O16e7AafIVKGFEFWptinb\/S6zDiLYz+0EgluvniX+RTmxUDMynX7tSKJm8xw3caVeEIaR1knTsDVru4vP1nstQoTjTQPfbr00KqQ+2AdcLHVQJJGhjMSmBFV4TCU6uA7ItwAKhdzOfF\/Y1zoIN7M9TcAXfaOQYxDCr5KOwx39fYYAZdNY3WSWVvqUl9YFhbO7FhZL\/tyFpFueqiA+AUdLbb0APmDLZKFtEpLbwz8RU4S9vGtYIfuIdGeWW\/uo\/pMjcTDAelvFofk0QL6rJsOY\/XUzkm9E2mE5\/cd+oPIJC+hbYx3MMRvI0lCQRriAvphGyovZ9DJa0tYo5v7qk4d0lMoT15vMB3zmwT6Ie7mlm04s9p2eZnob7Se7k81eEpM1E37YbX1grgCG7LA6FanpZ2n9hpcMaJhDh5gAjCq6VEw2Wwe0mZCUlxsgqjmIbpMK5uJLVLL9WR3akqs26Djnis1BmZqKDrXsrpFR6vLOvKNGPnsCe+BogvPjjtimh66f3j3NBeii2cyZ0z7zy8667hhdcnzI0vRldaUJ\/DseO9I58KCACx0xiY9cdQzjTfky8dEyZ3xISqKmjGkOeL3b0uhzBr0lpnB5EWd5sy905sMj3v1rBrzMscT1ZzLq35SmXXX3r+MpQms5+gFaLuTodJSCh9BvNRVBHgMLH44mpVCbsFmWOu05rNuBuoS7DbI\/j4fGynbvvCkbjPUCNswQEQ38Yl6Zudw1cHnU05OpX2CGrUu\/gIJVJJ5sDauz4i2BnEmWHvTEzrEp41+Ejp6tZsDJw+4AOeH8y5IBPOfHdwMVBcx38L6ZBG8RRlg8CdSoZlHQNvziKzVqyo6bW6DaUZiFPYRV8G02rbY+LBKV1hU2JYC6u6izypy56O1ZImnnIGywJpgcENB\/9tZhn0gVb5pLNjIkyh+aQaAksRo3xokC5jnjdTPm6XoLasvvmKtZRhkqMXJ1mXURhXK7nb9Soy7UfMwdRNfvtwOllfuV4gTe2XIp1t26PZsK2MIlBJbFN0NdzDop8bY9BpAvHdLkuQuQCegrDv+x34WOQR5UeBo\/LJ0X1l5149KvirmtS6CzKVEoXRVCoXqdR4qRC3HlhG0sxY8FDSdFgVFzUxwDZ2SJ6m7Vhalh20uPsZV8BWh7yn5c+kU6xc2RdfIRdXkQIBx95Hwo7WbjrCymzdreOJOkLqBV1xvEy4x4aji9McT+\/efzzn4kCUsbLAUM7d5q4znMn4QO8c\/MGA8KqJyr3TlY0FUBgtQcvy79t8dqxL+T\/i61\/0CoeMFdOFAiw5\/gut9kKDLy7wi7xPTFlWX3mGZMwP8kOdsBc9U+EghUwIcW+97Skz\/MPaxPl13ge87BUjrzzf1NSxHyXPwWHzTXKXJFLdCWLJWS3G5VS4nqnJgN3PTTnJKuFczA7GMm+uggBjWMbjNIsd+W59b4DQlLUcQfB3EoTftT8ivwYF4jzaDtvejYh4ZPDFm3pYfF99VNFDVBd8G5XcYoi5oFnCXDa\/tsSix25cWmehRxy6hhmDR+dmaO2KlqofROpvjZ88HQ8nP\/ygk+xCJjQUiJIg3Lnu1WVy3N+BSX+8TbEuRHgufZwpbPYNGAhSMiG0vXH8UlMBdSXzS3d85mEnotX\/VKYlYrVIx+YHepgGMwP3V82q9lhx5lkzpCW3jXCFfjkjCMSY\/S6EaI1aD6p9COHt38ZXglvSH2jQ6y32Ccm3svyRm\/3\/Ny114R0izpQzUnoQoN\/mzShqj3QMnbjrPQLFjDG51Z49viK+nMhsCjBfOmBxv0OtSAx1b7mZMGZFa4rnUwWcjjOzHxPCfgIJEvsheo7v7V5wUC2K6LbT\/Bfn9Fg8T6w2l093iQhqvy8LMPzqWyDe9jHeFyMokZicw3dCWSxSWSw06lMsdEIwxx77nYx7VorXrTPMPPBgVfiB3X+jZZvEpnyOD7NaOgv41yWffbyiU0wCjijm9IYlT1qb51m3o6bmQFKAeSw6+VWIAHGXWbmjMiWSw\/HZjIyd7SfChbuvqNJLhi2m0hmRxFUYokgmjR6BOSeeHMlry2SLZagwzeMgvu8+dy\/48ujS7oNb7ZVe9K9W2x1LenZI+ZVcoDsUqFPa6suAGKLnrZqblb\/5aT1eShe9+Tt2ijuFpcs\/DDKiWxv\/WaHQcjmVrW\/P6ewX6GaiPZYc1T7v2erri1+uTk4CR\/um43JDSmGegrDdDewDGz42I084dxez7d9VgPxLY1Z9f2FhFe9mmlOf7p5BxHwadabrmHPF6gReh93WqFBnvJ0xovW3IQV+hOeHr4FQesx3WsyI2M\/xvyvBk1\/OkM9uHMr0P\/NbDuNSGFbLXHPmZzfZpV7hLsW7i3SmHc6udRxYaD70W8WJeAKme4TFORffoWZG+rldywhZY3Y9hV8ynI\/gAoGwH5QV1BGqNp40Q9zY1QHBi3seTBoqiwB2sR4+GPXOhA\/OyOTxg0ObiDiH0GtwfYRC7lKoHCsucSH0zrzPRTa9oyABH8OMyemLKoRDsIEg0NXL90Zc86\/PLj6X7494u1qC1T4xqMaX6YrU5EDHoUB\/BuTsjb+SqyTLazN6YMc0MjgjWh1tgdnELqvHx+lIfEVTs++XiQKoGM3SQSpkzA\/V0BDd43glNhJL7Y0hiwxf8wvauxlDWYRKoOW1Qz+jKxbj0Y9sOQ6K53+VwTBOdn4E15nUJShqXxGYZ7Cp805nmQdAIMmAs5LPmx\/zDNsH03\/HKLKEDb4jHrbI+kAxi3U65139f4yZGBLYZRH+K8dtnMJ7inrjE6PB0+DoHiWscgiOOuTjABUcRnl659XnjZURpNeYepZEzc\/qvS5v7RTM9+CDBXKZzMS6GoyJokkjs8hoT5wI6Uz3OzVsHai1rY7OWDOQYMo+nnj7wWt3DAA3bqNp5scYv60fWvGUDZljLZVeJdKoHkb4Nkzru\/giGO53D2\/QESiUdUxzNviEVVr9rCm1P22oN16BmTUh+kQ0o\/MN+pDYqsxKPKLhV8XOWCwygsHUcsRVla19sxk\/BxoHDVmGpC+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#ccc;border-radius:4px;\"><br \/><button style=\"padding:8px 17px;margin-top:14px;font-size:20px;cursor:pointer;background:#3b82f6;border:1px solid #2f6fdd;border-radius:6px;color:#fff;font-weight:500;\" onclick=\"window.doV()\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center;\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:29px;padding-left:24px;margin-left:0;\">\n<li><b>CPU:<\/b> AVX2\/AVX-512 instruction set <b>required for llama.cpp<\/b><\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/li>\n<li><b>Graphics:<\/b> stable <b>30+ tk\/s<\/b> at 4-bit quantization on medium setup<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>The Benefits of Chronos-2 Small for Time Series Forecasting<\/h3>\n<p>The chronos-2-small model offers a unique combination of accuracy, computational efficiency, and compact architecture, making it an attractive choice for time series forecasting applications. By leveraging a multi-head attention mechanism combined with a lightweight transformer encoder, the model is able to capture long-range dependencies while maintaining a small memory footprint.<\/p>\n<h4>Key Features<\/h4>\n<p>\u2022 120M parameters: A balanced number of parameters that strikes a middle ground between accuracy and computational efficiency.\u2022 Sequence length: 1024, allowing for the capture of relevant patterns in time series data without overwhelming the model with too much context.\u2022 Training data: Public time series datasets, enabling deployment on consumer-grade hardware while maintaining predictive power.<\/p>\n<h3>Advantages Over Related Models<\/h3>\n<p>| Model | Parameters | Seq Length || &#8212; | &#8212; | &#8212; || chronos-2-small | 120M | 1024 |<\/p>\n<h4>Mixed-Precision Training<\/h4>\n<p>Training the chronos-2-small model using mixed-precision techniques enables deployment on consumer-grade hardware without sacrificing predictive power. This approach allows for significant performance gains while maintaining the model&#8217;s accuracy.<\/p>\n<h3>Comparison to Larger Variants<\/h3>\n<p>When evaluated on latency-critical applications, the chronos-2-small model often outperforms larger variants. Its compact architecture and optimized training methods enable it to achieve competitive performance while minimizing computational overhead.<\/p>\n<h4>Predictive Power<\/h4>\n<p>The chronos-2-small model&#8217;s ability to capture long-range dependencies using a multi-head attention mechanism combined with a lightweight transformer encoder makes it an attractive choice for time series forecasting applications. Its predictive power is not compromised by its compact architecture, ensuring accurate results even on smaller datasets.<\/p>\n<h3>Conclusion<\/h3>\n<p>The chronos-2-small model offers a unique combination of accuracy, computational efficiency, and compact architecture, making it an attractive choice for time series forecasting applications. Its mixed-precision training method enables deployment on consumer-grade hardware without sacrificing predictive power, making it a reliable option for latency-critical applications.<\/p>\n<h4>Additional Resources<\/h4>\n<p>\u2022 Benchmark datasets: Public time series datasets available for evaluation and testing.\u2022 Model documentation: Comprehensive documentation outlining the model&#8217;s architecture, training methods, and performance characteristics.<\/p>\n<ul>\n<li>Patch automating Hugging Face Hub token authentication via Ollama CLI<\/li>\n<li>Run chronos-2-small Zero Config<\/li>\n<li>Installer configuring automated VRAM defragmentation scheduling for persistent WebUI clusters<\/li>\n<li>Launch chronos-2-small via WebGPU (Browser) with Native FP4 FREE<\/li>\n<li>Script automating repository updates for WebUI frameworks via Git<\/li>\n<li>How to Run chronos-2-small For Low VRAM (6GB\/8GB) 5-Minute Setup FREE<\/li>\n<li>Script downloading experimental weight array tensors for complex model recombination routines<\/li>\n<li>Quick Run chronos-2-small Using Pinokio Fully Jailbroken FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/luzimary.com\/category\/builders\/'>https:\/\/luzimary.com\/category\/builders\/<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>\ud83d\udce1 Hash Check: 6ea7d31e32672173fcc8b3cf13ad0dc2 | \ud83d\udcc5 Last Update: 2026-07-15 Verify CPU: AVX2\/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: at least 100 GB for multiple local LLM variants Graphics: stable 30+ tk\/s at 4-bit quantization on medium setup The Benefits of Chronos-2 Small for Time Series [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center 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