{"id":7473,"date":"2026-07-17T17:08:56","date_gmt":"2026-07-17T15:08:56","guid":{"rendered":"https:\/\/gespromar.com\/?p=7473"},"modified":"2026-07-17T17:08:56","modified_gmt":"2026-07-17T15:08:56","slug":"install-llama-nemotron-embed-1b-v2-full-speed-npu-mode","status":"publish","type":"post","link":"https:\/\/gespromar.com\/index.php\/install-llama-nemotron-embed-1b-v2-full-speed-npu-mode\/","title":{"rendered":"Install llama-nemotron-embed-1b-v2 Full Speed NPU Mode"},"content":{"rendered":"<p><img decoding=\"async\" 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8gnvYzTfpPNd+9\/vxMgzP8bKibkx6vDdHdjc2LWI8kBq6Id09IZreLSv1H5immZnzWdGOlWV4+kmrfSjkGtzDeuBcOLgLqBwJQyVu8Dk0qOyBCeNhqg5KTTzutCscUoGMHYy20KDfHJ55iAjE9hQIWgFvJyWJ88JyAPc8XyWApBfeesPYSp1RMMAPwjYgU1g0u1XRsHplagWpGUFVRneVsTjxVZzaT36GHH6mQL4kg1yT8uY5EVIskULnebhUs\/NmCp\/KMJPndkxZTS4Erqo35JbsXoJX6nW5FHTJKI+dNAYynWKyULxjlrJT1azpQcplHGR5FK4G2yO8ikbWXPXyY\/jerb+73BrShAwq\/CS7R\/KyQW9+HIoR6IkgkjzL1zNhf+asyXrHsa5uNtc+dYKzUcolW\/WSpcAWu1mdETt5qjRXYNOo21qrpwPp5YR9YBM1PQIx1E0PBLWob5mC0Ah\/C2jfF\/gDnkYLSI4gOjmt154kV5P5DvN5tcv9r7Vtmo9ZO0aluD0ZKhAAdtkUH8QTofFjjHrqI\/j4a9HkyCh7UH72doTK+xhUeSmi2gr94KAMlGeDgceh92nKBuzfe\/HFWcUJYFfQTmyoTMMF5OvMYDtuvqv5ta+mZIGzN8lkro0uf5uVNasE0u1VdZii8waGSjfYyArZXZTNyJq32R20ubxoHqYKcFCQJXM1q9x5D6NzOL1XSClWbnA5z4Zx6Zu\/YH2WHZQL337VmHDQLniLf0EIH0I+F+G06nsSF6MEblLO9zl89HEf5tbBPAUlAzbl+AVAkwAYz45XBjmpWg0wjMTTsL7JoWHx1JfcrBXlg+vU2DhRT+tILIgvc4QVxC7n8tBPf9fD0rzb\/y3spGYVcB47n3zyrR71apnKqunbJY+kVf2Bv1id+E46AJFPzOF\/IXO73U7H+fR08C1bVVjzhGCHvzLc6x\/p6JYbv+JPBiLWiVBDgPnv+cQHZfZ385T4Ikg1YDZGStkEEQTOKynJzcenaVGs7DwI9khnn2ysxLkKRK\/PggD1e1HySxTypYwB8JYOxo\/AxQBtdbLUmdlYtFDN1QmgEw0HcqFw9+KVfgynNlBJrLk58KfBUBOZ3fgVIGYjtuebj3ax2I9ebo4GJ5sPXQS+pigXlBKh4V0ABJoYlYBWaeYxgXFPs0V7YjJDDAhzVNnCAFFDs8frkJ5JcWOH7uFDPNHnKMS0qFz2jJkKJdc1J8ePteeD3+xGqHwhvXZHjob004bovaVwt0KGA87vqbPuMnPUYzUITBJIQUryE+z5RaTBl3\/\/iv4ZUHJU5KzDyY1go0fJqwa368xi6kspGnvbXB5CE9+X8hqiOKDYN0BWLk92bHYmvmK161HOvxALSVovI7lkspVQc4DbmPnTLhApYJo5F5eh3fphtdT9jcTleJXqDFtJoFJbr0sFSPAKW37C2qwdTIfv\/jWgxaud67YR4OiUsO1SBve9KRvSar7lgJxrlVuMFyj8yBYmrfUCJfLhXw9LwGlDWd8K4B\/BS2HOmoBpnzCgbu68RNxbk4K174NjAneyyZUJlk6b1tsitSx0DB9vCwmkTp6rojSJIrrmol1mrIDB7Gp0bT1qbDIvg+rfL5zLODfCH\/Ep26L10crFqcZ\/5YjwAbKZXFqzrkV0QjaHmSBu\/W36lBx9PgxIsxW9WLTxgrCSfat+USDD0ifUiDukRe2of6vWkjOMavMMM9Qvd8PwNJArP2CdvrzSY3w2i6FIjUwNvlogSAupW0yw2BEIdgNPFdcxs60mZuHRPWPaFLE1GRRSsYR4EClWs3HfYQ9HOStQraC8ated0l0NdjnzNfYzwAnRtE1jX5d+v6+FivaWMwXh3MocJBmYyNnuoZon29XKSJnxiJ5jsk8II+kCv9g+aU8iQKS9oPiulUUzV8LL3V9b7yYatZ0Emy6nLZJJzEi1if\/lbzsQYHA8YLg8YKiagL9sNf1aSKCykIWJlC2X6gAdKDij9qqwZfkgrQSHAur2oVPujSrmtEQogdEAMBr5vwkLpqgQwsXFOKXXOLTH6uesszTyZ61fpi56U8mLuOeqeSzzFSXy7OApgwXoMR4dTwFz6fE\/nhtu7XQ6KLATusZq6ZkQvpJh8gm7mdHPI2+fBae43Q2Ramh+nHTQ9wajrjJ5rp8GTeJGcZ9\/Wd3wy6XQT+kWY+d1IHr7AgSlovdU1xGIBXn8imgpaHM+kao4HSDgMckZ6IbnY3uN\/FyZPLeCEERgXFrEPiTy\/XeTuweNig4sLgSLbgKB5lhRgOeqnAOa2M01QuvePpm2aCMKWiDt4BgXFfn5p9mEuqrBKp3uXjoBtlaSWz3ubBTmE37My9iItZWuakywXVshCxoMTImqQs8iI49y\/gaUMQgkNpAQXGXF38+uzSoizeUHczLQ4+uDEPceAOf9T946qWAbL9DsVNDZtH2HUQAv9jWa\/Ta3POq4S6tU7eKOH9ijRgY9E\/ihrHHst71sA4B84FmgHbnozeJIk9SIy7NrEWDtYKTYRWKkToqy2lX7icpG3gkWZAhp5YCR31MZJLGy6PPXzwyeJXNUKoXkjg530ANCvSZflO\/iWe2rcQFQnZMnQXMgVVINT8KG0Klec8gxQ\/k30K1gJ5xgOW3coak7+1HkXHWENlI+G+zGLYnfdg9CupS5yGbzNzMY6x9QxPJr3piJoQs1+P5QN5FREb5kNXFjgNNMmoBEiDVMIncY611mioKkwvstboB5n17ZhjZqjrpovD7PQH3VyvMs8Oc6QGqrHhD2iJtR7YragVa0qV+2\/TNU22wR5cjMo5w6OMkhyndv1WNEZPvpqmd7CTjVb2aCgkb19Sldw7dm1p\/kRGUGEjUn0aM50dckQ8PjeNNtkE4\/Wg\/eiVqE493NLB230Byh7tvnP0i2Bs1l6WxBM\/cRuOH+83F\/nLGnHCx+P0dDNJB0zRNf8LsbGt0jFCeuBoCl7vgTjNMfxLe0E0z2Zbiy6qpAPSmA9c8MvhYB8EKN7Am8an5QOA7vAueX91es1Z4SKTPZ0Q92m6xkCEESZH3qcinaVnvR+QpHs5ZwZsuX46DTEfmaDJI4ehn9Gb5DgvyRlFdQUl9qSEDnejE094GcMIwpr8emRrKklwKTm0QrQSa4orTOoTvdqI6WoD9UnMmoPEYch4Au6D6nOO3\/VYu8VS4Hms02Hh5jrKF90DvshdRRHIzInss4O0phghglQ\/ZehtyoBYAgW4naxxI1ZpvYAa70Agox\/9GvMFAJtq3PgYlOqQLRB6qspxzjgqkJ\/s4eyxssXyEqAbJYAkyJWkhq5jL+OVGYKyagsWC7xBIpzus5toZp0qn2daFzseYkmi2IK8zEHdNN4saDHYGhcUIHOtxMBUOsn20UFCEq4kgqg6Wn+fX5h94wRBf6AHEKMrSbTPR8Ky7Rs63PEM7r3r0W5SwHKAg+AVcBXbWA0S8gYJ8cFhou9I2rJMCcGhYjRe1fz0WuELjwsTpmrk1BS75IvR7T4S3lrWQdv9MwERZW2MNkmfS8xk8uCsvkRVoKoGX37xn\/5cfTRt6geuaWciZ\/mpMLHbjROvWvxHm+OxPiyhcOZEvJthZBhuVM4WVbauqUMa94p9bXplFnh+hfMbs7+46pr4YZb4Tmp0zAjCGduQ4vBisGOjmaAYMtjQNAaNUeifvXlzAtX0FN61+Gjp3KevYKglKxHmbwPmC2gSq2y+JStL8eZz9v9cTfkSzRLNdimCHDKGHXlE9Ww7l0ATq3T2+T5WozPTZSXk9HUZQaPFxAZcWgQFqzhqA4yztckXf33urv6tT6u9UpwOpY9K10\/jOPXwBRkOjTRdWncRS2DbDkIWEfRAKE2ScKSUdNWTHKGdEI5hD1t5esDWevVqfBGmbAe7yBJGb9\/2h6bnZ5coiVGRolRFWoeB3s6R8FiiTRql0Re7Ojwuog9oHLR\/5tMR1rhHo0ay4FENg3IB0HNNyL3GAJUgZK16lIsaxLUXlZGiMw9g9ZSizmwKSLQwRFbjsyeCL0MNoi6D0YY1hLARDF2U7FkoNYJUtpu0qBCuaHVJYWJm5ceoXE43eLyzyFA104WZYNyCl6kRIOWwUKgKBIFJTbWLOJOKHkSWEqF8X8fb9J2RML2JXdITaG4GnlfPxfjlPN0qqBQIx0tsixH\/EjrLKf6+zTUKP2TUvUL4nXWUl6qFpVtAlHITAkK29H7PkZkXyi4qFczlRn2DauIjNxc0dT8chpbSQUGexXh2KVzfO6ZHJlBASMKF+k95fRrF9RSjXhmi7+lZ61\/JfY1aUNv4H2Y7BvLtkLm6H881sdtQlE3KkGB1jrpfs9Sk5UIYoR5StTi9e1cHzjmO7coljesE5Dah2gVuXZC\/4FNIJy3Pc0pEtqsPZJbmTakspf9UeN7OxasZA5c1FOwyhuy\/QCahn2o\/\/w+c5axfE0plhs8eezJA0DYYmSlRi2Xpsxi6gq0RqAZrgi1IyVr29VKanw40Img+U5rNR\/qQCGufk+TNYzzZ5VF9Gg58aE+QPIs5pN+8cRRhFtsMwe2Y71lS6vYomYA0SASZIwzyNKI3IfO1jhuINzvqLz3J8\/cnixTWZPyZPoIedArLHV030+\/E8DtG1dsuimDM6K4b\/67TV1L8zXNz5dcLtc71BYXyOh3AAYjbTVeTwn6XFXInTZV0EZ44V79cglxiZLEjSsKcqPVqwhfavDtzzzswYD6oNjLCLlCjccYg58ab+RDrAU87k24qEkaMxxDJKi\/Y02TPo\/saEEpKpqcTf6YbnDBhecv46CHmBtH+1VPSygPTmRwNWe2AcB4nlx1WpM86t8QKCsicAMBvB1Oq2bwsskoewotKbjp4lrQnUXGpx\/6plCdA0rEMZ\/31Xbb2lBQmVhlFdR5Fw3\/4QxDwg0H+F9ZIYAeuesO+YxjedvCCrNcA\/0NpZ4dDmqIlSnIvIGZDQH4rqdzX3VRbFkbQhlzTIjNUOYQRCHyQ82Jvi1Shffz3ib+IQnZhk94CKIwOuoCXQhLoDGVXV7T8WuWlVqpWStj3B7GCGUkeDCvNLt0Yy4B+UThwN2df3eH4QP2ZPc9BT258LZOC3n5Ywn1nBIXxpAhSS0rf4WVFo9XaXBnrgr8PMtbC53oNjeO\/THHH4l1NcxpWsORjpNTgiV3xhp39gJ187IvMiCSISRqBNdHz8XmM\/LhQ6YoHZxdhQj11g\/vPlpJoF0kYc7DeQ9kiA+RCVinH5SRCOXL+Z2n8Qs7N0MsFvU4wVlybHWsDM2ZqHijyCZdafUDBSR4Yy7YJlQtIbcDnmlRqNeydQROGhgbjkQiZELpD0UhsjjQILye\/9pDsXChi1tHHDXAnyQmS2oy5T8IvJvokD+0fPmTtylNxn\/TxaTtiO6KUnK1LrWQN9qjTF0Tu6C82\/dJ4Pj1x2a1lr7my8oZ5TjmqsZsrl+mYMje\/5HQaWle\/yo3vnxDs\/y\/+eLZsFn0IEDFNbXxHIThi\/KLSw+sdPt3IUj3Pb5mddsES7hrN4LRfe5kIu5rQXrbK518PfF88y75LsIvf8zj\/aJ5TCkOQAB3T7uMjbg3Ede0Z3Ees5IgkkF9huK1smvRe00FCcCgysi47pCYZf+ZD1UWIVzlKXk3vp4CAO08RRTfihC0Wo6DSzKeGU4KEagJcIC4Kj8IFNgkDA5J8n58LjMp+2bk3YSmMuS2sLdbQtUiOy\/uEUCmFnT\/pWxErTbFYnYjzlf8rH4PuWt7OCrYsbtIEkMPEp40nhZj5xFu3YimUzdsU398wvH8e\/8UheKsS2P7h56aAAJ1dPPdytyCNCFU\/13ACpnTHuCKa1ZpR+KU+fkED\/TkAFO2TtcXQXm8SihszsrTx9GI+zDsCDhg8O3FkcebNT7VmgNp9FrrTK98C4Yx0DmY9lW20\/mQh\/QP2s7Ui6z4ECfHCF4220rhtBezAu\/vyu8uwSAJq5AHa6Q2OP+9QnvzTgZjNEpDon6i5EAOrH6gkJmBWO6ib0lb6Sdb6Q58JE+l9FUr\/evY6urBgCLrnND2GS2bu7oSEahis4HfoTq7n4O05wBp2Jsuag+PUADL44NbCpzclXtKXbw2FcYH\/IeaDGlDQIgnEH+gwIn4\/\/QOk6nNHoEJRp99L6xEmIKMIT\/Fr\/FQYfIwsWoM4tRisvFZ+HGikjm1bGnc+upbZT+523lJPzn6Luk6nwAfNQnNv10pE9CV6MoC4tMpnIig1XP2YHnDtE1533s5qAKv7mCuXe6j1X6078sWUeoUEuVIHaUTy\/SNf6nCYhmA43IFjRYDmLl9N90mqaCCnfDTYNqSQRlkwR4unWCEFyagY4CfBClNsFR0mPPLWvo8DOINnBTt5JFy\/EwiNZxPsfY\/pEOS30ePcZRtEVPmrGGhhqLonvSdRzJVMEz+Qocfy1VqmWYqMdXya8b0+9gIqAzR2zdOMP4P7lXsR882jOA1tO6I8IN8dB\/aiotMhgI+mnu7FvpAoxbZCQVapVPEzKUbRF8GzVkx+buOjTzidy6V8DFp+CEEXOTtvWGLAxBH6qhhCxcDGpzsT92WO2qf3hr3dw+IToz7Iki1x1QAFdYB0mr+x+7QIPLrMOe5A1hrFp+0FeDXwC4SnJq4GZz3+8HRyhBlNWzoe\/wFtLqpJH+d8qij+i+MzScWJTNC+ZxJ6RTKFT3sBGNztS9oR+MStYbwJr6NOyoSDNB0Dta67\/FKVxRrcr52GeRwXHc3a1QiVqpoFEobF5GBeN4stSmxOzS4QcPaB68wnt+Fdp7VfI1e8BJJhHgnJryEOYler1Okdlf1iIfUsjbtkdleCVBBFb1VHZHymT0iTVYVHQ\/Y83FJPjc\/ytgf3v5PLIavwS5wxxeyXNlvCA5l+dYwpFb14FDzHXeE0lgBAvxuSuTI12o1M3HEogkm0TVk7LIqP7VmMIxA6ZckTS\/7bi4ufeON7lc2nb4AZFjDWoZ4fqApa6upk8E2lASxXX2JjtapTonYVdYc0PL9WtIouESUBmjMRsyA8ZBNS4ciUtBQYM0iVXRey\/G4HNAml1T3\/QXzhpEWLjX3kyoTwwD3HsSTa2E8h0H7\/5RLiRs5gysadOq1A0sAIgNsO1zuRxxt5gfFSj2WGEt07C1vbXVnulKNBXCTKo0l\/h8I1\/8jOk9+ZaXbjpawkBSe8U5U07VDxtjS46gcB7osPQdMb2p1J4SLk2+Ie8e\/lMoLFs4dNRXa70vzgRdNyaiYw3EzsOur1GcSDwVceXGYJY7vNUW49X\/OlHzsSIlW2U25XeTWa\/BzqAMxmWto7YWylopNoP+pCG+6t22cWQT3WXtETRjs0WyhbQZvs2+teUlRl\/p78To07Qn+5EB69F5DGQL3LYd8mPAGojnW5\/YAsfzE2j5S20oUFt3lZsvp4Ta+dYT55LBJPU692m2FYu87ydvHN9rsYn2rY5V2A9nFg1oyhExdf0J+VaV2Nh66KSmWx+tBPMdj6C6T1v8DluOQPM2XRtKnLjJZaiC8ShEnRi9avloeKnkzGmGz9RWftv8xZvdCM48SxdLd7qF2Mau3ovcm7GT6QMmgTweia1qjhXWlbhF4Ep70re9V897WrK\/gccafVo3hHagVindGxQEKCLowlHXIFD428r2ePg93mqOekG\/6BkApxBHDaWNvq7Mpm8wzZgqjTdO\/\/deWUUZhyr0tc59bo5BOKDv5FA6Qwx81HgyVT3x0ylHSIJ+O1bG\/qrP8Tf\/xqbJTbosNDnC\/g2nMcHhHqQgJhz6fv6UAx+7FqZ6NYU8qQNYeNwgUt9Ma6OiBhkXcdp2KuMmiWQ2v\/7mY\/QD5tNPUwDBAy5vEV9IdfhyT+M3J8EdZcCuKBMR9Rs+LIg\/JPV\/xNGKZMsp5CTI6I4l+zotiK1xIGq+yUTcfMy8k7Y73ufUNoHuw0L0cilLlAFkNivytzEiLeCfc\/kgOTCf\/kyu8wASa3mKMDwtryicikw1COdG4j02en0yU9OAD481q1iwPF7RCh2r+YVplXBzN4uOmp9fpGwYYhuX1Q2KPtPCSMaTb1DEGEpe\/FtQpIpdlu6fs6VQsJ6vxCWL750Psix0dqmE9evDToATDS7VB6s683vsbb1dp8Nlc8g\/+H1RKGkuHDrAvn8nqa\/ixbRudru1PBsbTMbU4y2ZmG4ZF0W\/uhsOM46iKzqwqxgdzlq2INUomXFhli4mqzv++8oQD1TeLIOA6Cv66l29dOIGVvGtRcQ2gB+dUoUvj0TZDOY+W06bnLWHMM9XEjhnjCEgW+Kt2aqsfsjnyRPAnrqD+23XutGz2Oqchl0F8P134\/4EHZP+Djf\/zk+dYwpYi0NBST6sXcHoK0SRsayLD2\/SxRRWrvRlXhbaLQw7SL8LUt2BmXS7CzxVnd6I7GE\/khD0CD6NTyWsw1PeXChG17UT56If4kR08\/kM+eBm+5K4Wf4xnQhmBQq+Sa3ds0U5+J7ihq4LgmIzzHIrgZVTvWonK0XgV5V2QlO4cWaQtJxLJD+FjyOvCLPhizjStziOyVJJBRIwSXuWMLa8lfxr928nmWXe2XTedFdA8G2LZd998gatU4WVUIFHWvyDgeTStj\/wvFg2I3tIWjBy9rfuDysN3CCwp3WqrLdZRLEQuFsazVmaJUlm8bU714A3IzBD9KCEoz59R2OAnuBR8C6UA2w+CeKFmSsnVvuHJKYXasrzThqT0fY34BqmcV+evKyJAo4CtsAbQuEvc7PIiyAXcodNmacrWpr1BAMnu5sPzwX9jz39qBimf8QTWojlNJKJ7RPX0f48XyMDgp7mVzLIggUY7RIATmwkzM20SHfUH8C38hAsnNmaoYyHrPQZ+wqHp8SzyK9nhg+BINLg1u+r9Kk9etyWCLlCdX5TPJZbE2byZfpcpzfW68DhkuOssPDCTth3zxiS64Gnvo6xW2lKv8NNNxbgJX6S6pyjX+w7xY6RzmIDHt+KMKt1qU4Ip3KzSdndHuFUPD4a4bBQfGLNJbR9GldVDhmRoPJFE9jCUCrNG+3vnLGg7voAUnAGMFmJjutKk0aUgMV7JETLEnHk3aXOy4F9hxeYieynsvtUcyjZr89neEVtz47gFhwB5ILIQ8b1Ec2trydFsuL1AUYahnC\/Zn5sVAnkAilqCYwT7SJ5putkTXaKsuo6hwxXjfyDvVtIv70qGIJR8ns67xH3ERuICYG6UH2i6ZFE1nkPt0hG7LfeixLzrmvM8Zay\/PRGfq8t3Mzz0xI6r397ZFTILmADgrfzmYE0kMOgtRo\/U5RsjS7YpFqWlVZdFuNTN6slKjmaqvLJ6n0UjT8kVQzLEgm3emN8AedrVCFeyhf7RIInxZdasegAtQH0WK6L1MU5wQtFPSg2ZAIibC\/8KOtsdXminc8yTKjfhZDc9sWKUa+jxURdlmIavkHqfj6tnZ3jReR2YnVt6llTYt7D0Bp+hD9XIMJ4XeBswV7Ye0pq9IUHd0XVuksN3vHmp8trtAum7zKq+LA0U+BHLUtTkTziMpV0GJYPv+rCi3RiWTTeePqEzMbHa3SbzpJ1Bjy+8MNTaRVOV\/JNwQRK+kokb+8w6GHrdjBkpRyqUUg5mdS90pERRVlHdT3tjfC6OqEITZs\/GW9INZlWlA0VEEJ\/dzrKQZJJCs\/FQXqZPfxN9AKNg9BxE89V5JoKJBra\/IalQJPxiN6ZKNXTjVOYIbvhsYI\/4gCTSp2nWZWvhk98HjVKAA\/J4ESIEWz9X5jerA8zsXert0pL4jT2IOEXKHTVC8sMgGEJS8JgqIfSdg68zjfrzcWdv2\/jZ9iVS+Yw+6a23BC+kXJLDWL8H1jVcD6i7Wl2m+kJrfVOi6CueWNBUSzHMWoSfUZbYVElPyNrYZRu7DsvaRkGKF8fzvMeUDYELI6xQ+dOjHucM4Ncq+AYBlxSTF68XwhPvXv15XICeiViNO3W951PkqS0V8qlJJVsX28c4sO6gdx7mzc0opVNj3tovY8ocBnwBz\/blXrBntGKuNyosDxKIeRCzsCE3rNPqLo34HaBe5hj2OhO\/rdiONZTfv42hwvPUBUJa3CRv8\/0pQ+IzF3nTSdx9gTJsT0NUtIciC6qtbs8Q\/bt9wtiPFcfMFtEdXcifKulo4mfoaVUr8ymoOJugXAyDzS0iizxSlOY9kJjbGp1M7TrKdkvZIALoeJRSUMOJbomrgU3b5glDIqSZ4G\/zOPsetBRURXcuhFym6qgJ6h5o7jmvxjiIfG43rSHDra7YkU8jmxrADVYNH4GZedO0CMFpgh0W7YoZ8TvSCrTQrtCHh5KfWUlupei7dmVFTczCgv0l1Ksxfr647vdMX5YD\/jr9U8NSXIiCl4sg9gclem39OldHM+VVJa2O+sBxwvZjhdPQBkRKRsqY8cvzX1jOIyNoZu8nbT9q3BtjasHm8zA9Axt3gKPqARrCt+fyNoPabqkE\/Ri8hXdVp5nGVLYhTRXRqLSXZiPYnw69eSjNFNncLrJEGnurKn+0f\/A2T\/EATzHkT3J5mpkuGHbNIUycoUyTmFx2\/bwCXy9De1b2wG8WNOsxexdUaol\/1i34pkKGfs4BjO4L\/ToRgmWJF5IBjlE7gs4p9zWzi5WLm45vG7gY40wt0RgB8C3nRdUBUz3stR6aNUmiTF2j7EE8Gtt4JyAcISPivKlvZOWPQ+2MhOIVuDJmeRPG6uMBa6IJAZD1xGe\/ozZxeO6j5XHrvRR0D+3a2ONOLuIxNoiUpGW+bHDGdGauWyRbLHGMpEvrApZPB4u6EfzpX9O88HgW2MyQdhtYQHxjVrmKonCHlCLSoMu71RPcqF49e8o+8oQMi1D6vM1Zy8DndDgqWQjNvGYDc5NYAIM5FwO3zlzwMzv3yHpmIs+7+En7wVxVBOICQlyYrCx2XSofcqPA2CV7ZeenI0ZMLNGoPhI15vez1wGECkdJ5TYzsi3nafSJv7y9uBRDymWLZtFNXZqJiBVIuw4WBLbFA8WfZtm\/7Mzwly5yDvWw\/zZjElgPJ2eaNzbJj2C99LkAN1H2VyWQXdmFe9xL6DHnv8ndfh07vW90q9pFkvfTuYSR\/yP3b+Fgzit7P7\/MNr1hEUSA7ZO4rvHfdtmnVLWp0NpErgwAe2lR006DI+1SgNfOs6737WdTDRU8uNXhXWIPIeqGC1HRWcil4Sz2OsTv2pivgCGEQD7ZVo+FU\/PY8GM\/ybrgG4JoZxxuuHe\/1k0oupoRh4t7w+NbgWzU80yKuy+dFA370C\/F5BFJvPi4eA+RNh1p3aQq4WtTTr\/4sKSNjx5uBO4jRnbHTJdZoOzR6iWBBQEOSeXqmoSDXYMxbgNrNZQNF+qd4e\/ICFov4+DqvJ\/6K6hNjCgWPohn+QwCePj8Wy3gRwTipIEbBL4lzEmYO0mR+QbGYt7gfcXohN\/sQNelN6L1uK5FnBTUanwl9UH\/rXidpq8T03OIYpCOKfuMaIL8dzwjaXoNZ0PfF4WyEXl07NUS2zPoZLll0YVSxGCVCScOJUIqcSPo64YsMD8m3+SIRR0IoABjcnLWXiDKFJl\/S6\/FYBCKUBXzB\/4bki\/5nwx6+R0L0BpxCpjqIkzKKmZQzB+uCl1HAjZyvFToiXC6sbilfi8B1YzqRibLsKUUXJwAxnLDWt+aO5vddf4xaV7E0Z4809cw6bbn1kvZmN+HPNhMTGvc96Mhsa5rmchNhoMFjn+o9ZKIUrlfCBo8\/UaaXPPbZhHarlUcT90dDT89fupkXBObSs3MXW10rvRhHn7V+cKidYmel7OSR4buY+wdwrVtjBasfOLSRJkVC75VJXMRkWON\/rbfKdh9Xq0N1qI7X1n62BU4tdoxM1MQbjswicylq8TRSBVfqsjnRpSuYpZQVlYT5ugMM6zVfD41QgzO4WLhYO5pgS0xBZ+DFHmNX03OGq5ghILmL2pkhSRa2f\/BNZIHSdbvPE3XTUodE8mnNN7bqmqjr36iDcHc0ho5j\/2KgpJT9nbOckcDbgNBu8SinfLPqf2g7tE8vqhOZQqw1ZjNXdtJEPbHSd\/6S7bGxJy4hikfQ31BVfZIbtsS+5W2AuyK2sKcHlfbcTYd2F9cdpADXrmufvh5Unn\/FhOa3NiD0UGS48LIkhOkvjJCGBRId2f\/ocGa9FHcGzOMH2KZt+qQQ2pseSR42XPq2kICvO9uwZb2Vgt6DjwrPenpQCh7y7KKsJnpUXNT3hW\/LnkLpyaSXuhCfNeSn6rANFQ29vKAvDW\/NAQrISBaiT\/67B\/dMvWLCysJl+4nAtCvncHDXoJe5byFbjm32lX+BSM7axbmqO\/h17uMozLuAHnTC7Aw7jHE+F2manqKdT\/lO\/XRC+MiMjIWkcZP2zbodDaUkMXKf6RjiyWS58r1ic6pviTZwX3CVrW8OlH5ir8kI62MSQT+SocbBYRcQmaMxX8ToWqqlFUEuiRW7aLSZ1u+9amZ9esoWxm1YHZNSBDY4RgSWhSSUAoXjgH2RXG6q2m3KGranlWT3fQQ8c3t6EsaJSGO8MBNGZa4\/iVQBjaMgP+xyB+GMk1OKGsH10hkw3i\/\/UAF8yLozGSweBriJf4prhdx4rzYL9G4h90EKHu72aORAkZdD2QwXMvOTT95ykULzHwoit+u14MzsdxSt9pyY+qGFAcCjkWwnne0obm32RPei87qd5ul4EDHnz+c2R96V\/AQrEkNGretnol2hYiyVeJFdlRIoPvaRglochJ4FtkFPjYM39gWcyO7j\/ndjAkUBUMt\/y8GQy2T3TS3y0uXtiUVFau3QLLXY1MOGo3tvuYvwdG+prfp7VsjI9fzkIeLVPd0vzJm+8JxLG9FDeFopgYavwJ1LFfJDP03ny0dXr71TGrtImDhONxLH2NYU3zGQ8LISGkV9yUAfHw189SaMlIBRJC7jxcw\/xYmYy1GUSqleYW4sV6jkku\/r3R2GIZxyQyTGVuxE5eWfbNYhl9mUjkyO6oG1EkXMOuz37R+A8DXsRLT5HZsnRqUfH04bNd6VpMLyBQset4oJYac86hupu34xeuoUNpAP4sMZZdBtGm0mOvqHVC1h6LE4bDKv2f5Joj2c9IAoarGu1bnZT1UX0NdgMnAVez7eXvzrYO\/Qg4W+YGpClX8O3OHkJUydC+373M4H1VmDZCLnbYHzrCIL8EPK+KHE60FwP\/vVC\/grhVw\/IPmlN7yfmdx\/vqBCRIV8v4dq0M5Ersx7MBSsyBWb\/HqaJSkbZAdpdU9iHrnCF869RkD43hJGT6iUQ\/oJcFoh6RiWzhqVqXYiVyMyHVr+JeFqP7\/u+bnMJY47az8PsMkv\/ndIQyGHBKzAtcbWqvwK03Vz1\/PEqlDB8xxP\/hkhz0d76fa0xm5QfDHAlz55wIXwyLIEhHF+kCqd7wtK5UJgtOdF1qnBLywuGvUfMDMNf3\/oZtlSlsyv3qY2sFJXyXkPdvgcRoqoGMWCIt56HT1jxOsoyPVpYfQrGQOfXItO+VvULfisDz8+UxJlNeAPs+ru\/D0Bx\/DX+UmXNHCJWkzd2WvL0jCbj+9C+F5AWutGMUsfyoe8KYL3gdIFlR7xjt1w\/reUaNPvgGxBvqXh+OQl5V4ESxWC29pPLAnlduGSqdDrjPMqUBwTnhcQF\/\/6qbq8f0HKuJjSM0UHclh0wqY3GtrMCOdtZC2k3yVNpcZyega2KECAnGDxfSwhLxyXRdmWubKJ+hxBUOH37vsZu\/P7sBZE\/aZvQwkGhjSqB3jSBDdkqiBFlUUmVKEvyUxXJCOhWnyiEckB7HNAacsvtw8iPvEoKnZf28pcy7DCXGoxFxXBUV6HGufBClYSoVaYovhjb5tJf4\/wKaQVC7lX\/kLEDZeIpGDo+mlTeS4WzQOegzEquKvdJke9quSiFKsZCW295Cq1\/nSP67DNv4sFk0drNBY\/gGApKdc1zgDVmNXzxpG2NAEELxCfWAXv7cTQMZLy9f\/X2sk3Iqi1jhQgA4TZ5PXhRP9S3ZEVzBe2YPoy8WcEi2wuuJ5y\/5kdJLy9JsM+aZU7jNgIRhUw4Z14zwGnzqrt1KjG4s2UtYy4ifmqx67u9Slx80BvXnGizV\/fldbrzLMYuW09ESJbSqHdFnuFzhYCdvlFbJ4xW60N63G3sco1cn5M64qmVnuuYIGBSZln+nE1bQqsB1oxupb0Gy4VcZz2x0l6+8uNmMS\/IGpHrmJMIH0\/RmQeuzUdkE5QYsaPp5Z5PdvI\/ZlckeRSAiTD2QJFh4YzoPgWfdYRK3fwp5eeAfMfQFV64ecQO4t0OYWbilR2lXhsnBVjbHcOEel1pjo\/8idKxTcOmcQPo9M\/Q5UxVQ61qw1H4EvbO95gvRmn6Tc+kzj3FewFs\/1DuA2hSfe9LLYrmj5i5CwJp6UCVp8TGsy6Al5g+51OYH15bDAMZhODmNgB9nY\/mz6urhQo9VbUYbjYKTg2domITk44MlWyk9GAMZtuTC80Vt4BG3bRpujG1zkNTf\/hJSEs7erscI8ohgj09230C\/8wAYphGWAqrAN19+dSuI97Eu5RiBfBzqPvbwjyJ6rzlDLD7aq3Nb7Hv5CEmcvSfNOerD4r5BgnR+yqaRJh1wv8sCMwBmFJgGDYnqnwx2EPUm8g8WMLel\/N5QVV5wD34Cy6dQN8q34abRrZfUrbmmbOEMxiKsmqpv1xSlYtjG\/QtcIhJYD1\/Y5sQDEkW9QQTtX6A9vpPrdfzb0wWHPxDO8wpL\/lIKE2aLIKF9c9ZXRvm76YfSrnst8FoSPvJK09Ml8p4LVBmkmtYwDdd7OODcjiPWGc\/AUeURuhtvMXHt+jg6VTbaxa6H9xNYhNZav6IJqKAJ38a1HNr0h9cLAYCl9NK7yDJePOVo855WG\/dN0qzkgN\/EKX5cfGnCGQbV\/8nRSQ0bEUOc\/4yBBX3kRCvnErikHad2x2YdrCCcf1\/lq9qW1tSnpjX3nkNFQ4wboQw0osVRG1QRlg0gz\/lpuKvIg\/\/Bb7i\/5huWVzevA25y9agVCViDdXUkpyJuOG0nXwHcwlmtxQh2zTqx8YZkpwmJqF4Az42FhpiwD6GeQW5PH0cCQak3A9xUrBTvNNlT\/zDT93ykg3sQK8CVekcyMFE5gic\/zuclLt+Nr7+Mk8UruwsswVsgoL0AzHlNfB\/sf1KCzkyJ4iyudRBXxORRe8MPrW1Ch2Q6+cg45VkH0FrZD\/rMxruSIKje436HUvdonpnLvUSM1D6wJKqnyBgF4XgqDg9j2DRkEjxVQa6ItIHHJyhAo8cG2gEftoIxEWaOSpWlK8UttYSpRDOR5w4JxeE59wcXiGO9JybPf02Iz6kR7TTz2pD2M3sV4I8l1Wzk3WKv8pHPRzPKnpiJ3mY9EGekQd3+ovNETGN0y+q7JK8CgyLScgZLXigUhmIVUoJlqZp3TuvxAjrpOyVyqeq1xRgLKESOAJ\/yqZS1SP7bqf7qJW7Zct1\/5U\/diGzZUFXYVnVmEipf0zcC9JojjYqLXP7poqr608gnGnF4IV0me\/szLzn0bfxTaGlkQZQpwodOWvVddjrUU47Af3jNRZ8Kx6najl3\/DfvY4m5Q\/pgKIH42IiEblnjCizwnlO40rJCtlhtJmj\/aoaIr52Sm68gVWZRRngemjiPDLInjKezH6ifA5gP5hX24771fdNMgaM8O\/qd8XyY3NUuEXV6uUD+iHUwBz+ByukwdTDz14FWqCDU5X5t+O+MuaN8MUMHHn2kLQDobiH5Hm57VXlncPgriu5iyCHmP+pxXg\/YrJf2StGPUXCsdegYhzCSCkU1gJccdwwOMehQYy+lk4pOIBmFI6p50pU8w9MqyTDBs82ameze+XzK53pxTentKJ\/a7q1avc69vb8StqkPmn78Cs+Pwjr1Y991itJXzOzW51rY1pw+ZhLSU18rwScEw9X19d11MfhjdvtYC4BrAAxBcx16ThNHNRsE5QmOttUS6ngQUFLByBSSAWonNA4sTgGP5HsG\/7p99i6HPtgJ9yqDn5hitkTYKmOemOX1qyf1p64SnEIw0Y1P6L9IQZo5OWb061hxkGIn\/EsT3+NgXI9nT7D15mPLZx7fA+62fYn2jvcEuduCBbRuMF3J9precKtuRs3g2XKvoPwjUO59Erh+Nm3hbOaRHD+i7buN55CMYBmfTcVrgalykNFO3kHqXc5RFiLqmYat0cUX1A4wagQJXnDXACRo2wUaT57gXoZ\/qQNJFbZcDmPoOJ0LPUPdTKAReeE6qgGalnNmUkcJCaHSOvN4IQxNbBmf\/uvVP5X6e0\/HLE2ix46olHChLVUedgPjhH1gfXITrhFQ8PQN1dJp37wC2KdtRfTgSzAUrxLfEYOFqRGWqtT2ytT3X9eUezAf463mD5jarVGnNUQXdcLHkxiP0gBqODJeV\/09OBvM94\/Zze8wB3qOhzaW2NaS\/CKpgc7xzAO7S8gcW2\/VWGVxtOFk4AjGU7XPf9mUOvkQG9hK1iClq2diMtsM1py4ytYmTkXZAdMpyXsKirvDdUian\/jm34rPWv2G96C9eTt9KLeiydKNgYI3smatmjmaI1S9xn5uv+85sxvyAO0w80KCB4xEHB406bo\/A9EctzzWncL76TxK87vHmmiaZq9PW7+cpd+IeVcGzDaDMbbNVpfEGzrVwtTlvKIXc57sxQr0DlR0HxSf683SFl\/\/OHzbJjEtl03dfP7oCO5n\/P8InZo7fr7IOp9gxirwpMjGYbNGKHoiSuExXa4CWgd4T+MN8n8r8pAurlIJ6bhnHxYEyO3yw6CnM6IcQ9fSD\/f64JaS4xbcvkNtnFrsifEkDkbdmsjx++lp1kSGEoMadMZu8ZJXlXEAYhUww4GTtAgIkNDisHH1g9F2uly8tGNoUt73HoSaBE794ekroCo\/7YmfIh6V0oVQEHc\/2wLMY0uAOhauCrgv2f8Y6PSRnKONHVd6YaXOVd0oU28TVNYEcgsZ3pwaUeAoPlABRn2JLmx868PhVFZgc2p0e5nbgVaywmuwI7wo0FzXZKFV8Uw0WvbcVqh6Ny93qb4uYCh6VLQMYECcnzFTUUYOh\/1CryW\/cUNUORnbYarMwm9nRkHEZl5hFmJkVLj8BVghmAaBrVPBa14BNCdSP3ONsMcoYa+QV7ei0dJdLEDDMsVYoUFQadz8tdyPNaH7\/E7Vv627S8H6mvXBMVvqAOUlTu4kchJiqyBXMugMVrMlYJfGUk2qCewg8st\/Amb33BMw\/ZUMYOIJr0dbkODZB4kriuV6TUwr0LPnYri9DojNaKkQbUgkSaaMT5umbVEl\/tPOh6wgn78fCJuYhxYsYYQqh+xAKTawy4Mt5+mUCerLMEjUxp6a5F3G\/1Hc9keo8GAAUlcnvsBPh1zhZegBkvvjmBliXg0dmiLtZCeh6IVlH+9uJOGDi7naWNJKE2JQEDwUDUSTRiQBJFvTPKc4lQDBlikj5iRJJiXNSued4GwnbcfOlLvEGLS8rS7KWBBPO5fqMDpU0sJ9DVeWUf9i96zwaZ2rlyVc3p28c76Q7GJX\/9luArtZxNMyCX1mvGOPgrm7IY4zyN1U+VtvGp2UKk2mOV3fApRk4ahH2XPRKNAfcq71lEOyiihhO2NG+4YkZLW4pL7pOp7Gc\/3ph53RElznGNn4QDYtPsobibUEb3IWM5wDrKuPWCRxL2wynrNcfd2Z9nNggA4D9Vbd3eIDVZBtrbJkvTD6vHy9APf8VOrGso1AGH\/zBlyJFmCiyTZkeTglLUnL84w+awG0T9h1v2Muz7qInfHtDKldicJvcI8TtnyVip5zJ\/o0Jw9CH0PUR4ZOjIxVdavs\/R4YmqWI+KAF7OQJ1swJEeWd60hMeQxbNViLsKnl0hh1qGQIm2I48pc08Km8w65obvQGXsehvat1JzjdZtA1014EixHv5JlTXgl42rw5YZBOQ+VYtj2RZzGLxsRBhj6Axk80VRoPTfSVN2C7V6E5MV7zsT1qxHnpnfjm\/8Eau+HIJkB6feZjGtW491HAanDnUqIx9B+Xk0zs\/oABNoxXQEIQEx14qGhR5+MHm3QdsaOFGZamfWX44Z7BrQYN2pqdhRl6oxMTnxyLmpxgDe0Kh6WGRsqn2D26rZESYiTO+RGlHBVpPLuYxx8zRxa4WH52gzJNXvAenUuAnSu0WL4UapO3TFANySJZKfey0V3j2AjPRz9Q+dF2Zy1hHoPyWsNBhMwR9ZrMrV1LMgxuVEA4fccoPbzgcQgg2NUCLJ7Q\/PFOxLdXqBCVt54ezqnBlEk0J3QP\/kgIfQkMMhmuFpPVsK1sO4vNI8OEWjydAvPR\/M8LM+pvBJEM7nsVynRjfQFBGs+DQ0R8Pbu5CxizPSqV6ljqql\/T7XYvmAn4Yf87kgTi4LHRusuOb4wiNXkuXZbAxeWRF\/bM4IHmA2b108fyN6DycsgrZUjFsb7YjsEaqVzZQK8htcQQV\/Zr26iAN9tNC6AKAKjRePYKUB63pyMs5D64KjFAYGtdR0OZml3YAxaZP2mydNKEPD2l4vEfjoBJ44Ryj73ciosOM2TCetnfwFqyqCyAZ7A4qZ1LZZxMXqB2gC2RgsLWs+qK22oXWdB+1nxbzYKyYOstjoQk9L\/aGfA03t\/YllruKbtTKCSt8GyKGnAJIQ\/dL4Y3sRcoaE9mio5FuRwH3uxnTnr+nGTszQ5OylTHZ3CxlqWhXaf12y+FZRHXNQagBm060rLCOXwep826K9gVXvcbBivmn2vu+Xkn\/AmPgSGPMytIfOGH30myk1cI3V0dGb7fAZNNVwYwmhedJ6zxVMJ4Te4Pyq\/WNSzgWMK+YHBf1NYQD9vKNPy6d0XnP1zjdMr5bhD\/ia8TznLtTYqlKL\/o49Q2svfteCBpoE3nnh3sTWfUaHlco2imGAg0lNA222hBQeNkYc3K5CL71TE4ZmS4xWEml8z1d9+s9LothOVoGlgmryrVvOiEG7Wq9KTXrND\/X2uVnESq+2gO29O05ZbSBB6W3Y2BIweRmMbx5t3AMgYofGjJzs2s\/iZSe5S304+eVgIrCjlye\/lEySWUQq9vkMS5lAOzk1fhNmf3EGGqNVHX5aZ4uSDpBl8Hr6KxQwNhPpEnQo\/IV8GothZca56nTfK+q4xgCisY\/riIRq\/Yt+QJoWN2FadF548+wcgme8TZNqKHfV4JWYaQuo8DJfMZG5E996zykxnpSoUNuEz9rLjnMpLFH2znZcn3gBtHG\/GizJkLtoMvYGoZu8xpi2o59Y++wlxDHhslV3kKyuFYJQGBrdHJ7k3El8z3kmrgsmOh8u+RPpQf6sICFwSW4Lbfts1nOfHc+soY688Sm1DynPUXE9wfVd4NOtpITIp0F2S6JCcPbKB6lCBfsK\/WrIwLJrsUh+ffXZRpnz4hbYGPAWSd+AtCB2LeY7M+wgY1mLv\/BcxCQv6EXWAlAgeO00s4lWomWkOMq\/h6EB4dF5pwFF7v110NB\/4qomlB7dj5I+Nsn2N2OwgfhYpCDbWV27iBFRt7ER\/nUI3\/wuWX6x8rgDb8PYvYCXAiLtyfj+xZ3xUxnSP2wYDH95TQduMv1ceNU0ziPUlb9UYuAUjALqFaEvOWetpT9ypRcgyNvVqs0p+09wvMc0+KhgKtCHIYqi6tTAQN7AX7WsExt0oTYOAc6cfrysD87C2A6kaKvBw8f50kvbYPGTUcOCfekqGr6ZQ9Po6HaNs55eX1Fj2DuMLzZtPSxM19cPjTdCelf+1+tWzXmtI3F6W+zX2yaIMzV7sd0+nBSYXC5DWdfcaeg7wm1oKzP0AF29RC\/g0HU3++4oD1h1Qp0aGRv\/sJxydkzmwOLxgh3P\/VSFCZchiXHjUHKd1jtCdt9N\/qd7+8o5t5ySqeI85alIOgxPkRGZcbDBCxjTuOpFi8zIGr0oAdxeJP3z90di\/+\/xM9tLjHP3s9xEYoZ261uwwOA+O+cpf0AQWDWv95e8SEUJAStqEdBjt\/\/E7o5FERRec7gUubp1cgHFCVobdbO5wpu3c83esUl6m6TUIcpLQNfSPILvWl8dhJgARFr4TvkAATqAENFCbPJ80q1Ia0yFn3qJ\/orHFSfLFGrEuQHL\/\/ayrjVD5aEcdyDIEIbbuvqHYXeKtCIsBgacxPT+\/pqmKwtdTF\/osEaIM6m0116pQuRNCBhq3LJ5KaBcIOTPpwuR11GukT9Qps12sRI9xr\/Dgyvz332t3xt+3bks0ggsjij0vBfPqI6lZzOEjY8+RI1PvTJN5T5HIBAYvVXkmsD+iIR8ps0GT7aXLHS\/J7IMJNz6l8GuD9p9+PDpwIlMD+\/at7\/eCqrefIWo3ZSjd9tcv4MVC0cPyrVSMdpHcwIIcVdAToHxVeejlEijsJdt3m\/niUY3r\/J8jz1BALY9iDyJl+DreUEZAvm1ww1Z\/pMBQZ0ok5zn+\/mlknCuilV2RVZ1lnm76oBevG5i3+akPZTX\/6gJv2wwegC0bviTo+SSAvU1toHxrKn4V0pIU3FGuZZ+OHCiL0HyRj1ejF8Sm9JkQSFBkfxIrJ6SiFkpeLr+rPA32TxEluZx7+66Y+CIOcji9ipfHIt+kwlS57Wvim4m+iTbIyICkI7Ug6yophmDG98H5BbHDzQ\/JJleAZIxGc4JnbFRBkgmnCgzih9WbHUBlk1ut1KI2HQQGvvMAeCvRmz70cIV\/tyCoVX\/1b6g9RGWcJIRiW1sCZ7jM7\/wfBiN4HHqVYZ3EsfsOqDbH6SgGU1fAuNhHbq6hN2GwZRS2SwvIfKCpBGiEn3cXb9ZnC4cmuUyW8Q9ioS5ZlFvrmL24nlGZ92bMjbpm4epVbhlrbUe80k+8v+xD4kLRMQMW1ptBNsu+Z3XuMBA9MKD9G8gjJNFyzCPmjPmzaYiTIiloSlnJ6kex4y64XgPozbyNMXcEH721zbt\/b1ZsyDWWETZvBCdBdSiF6p9Jf0Y2\/aMNqVnyFSYCeMdTAnJRBkNVFCRBkYzzy5nIu8+aq\/SNP0MM0SsdEJPnZXVpRiBB\/CKYa3fDZnb7bXGauDxkvw\/RFRPgWXGEdjLhyDtdpdG27Mj1\/HfbpByVcfsdAAeQemTfDicYmINGjO1r21SYultsHAF1mPDcDN9qU2A22asp4Tx1V5TQDTnfhijO9OvZzpVqVXFNGhFDtwLcXf35i45nmHFW1CmlYosI2fv6\/URKfDR6cjQ9cqvRKDNE3\/+O8IQgaijC2tzHiGoWYj6x2DKLo8t8F1auyWrbsnPEOXFUoaje4DyODb7RW\/xvfkT99o9tAUoObg\/\/ADkXIvainJKdyh6jxCzvz+ikl061eorulTH2hkxUACpqSmIIxqPOOWQbSJVngcvXkliLBcv6JYpk9vK21b5TDFDPbucOMvgKD+j9IPWmn7mChbpuN13xm5uN\/AX6htE8azrZOpEo+OQevPLtzMk38AJkN2x5aSTFC3FBCiFLldA34l6m9MXfeCfngbvL+a3GhUy04jvODTumX6EoozUsQPLyUxCWazQL0MJqG1RZPfoyvFxQXg3TGbaDSEghDigRHE3X+Gv9\/Eu7lumenvjEQLZbursjwPsoWTWHBZXpQpoySVmevphdRhHsliiQZUbn1ybPUxuq99MN3RBDWkQiFzEsd9P3Qagt\/0Q\/SPWZnkJoRLsEyKcOIDlzwvlqAymZ2CFPX09z1bxEDSkIZSIsqUoFD3XAS\/9RBB\/E6cm6R7MvLpKL\/fjxnebcMsCXr6V5gyPba87wwsNKl59kWdH9uPLW\/qNrg1h\/6gkRHqe0dCiIwGjC94rNyttTT4tqRABmEV9utpggwWUrhs5f7Txlh3DBBkbOQFqwMpelVKfktsfMBQQMfmP\/W5P7PrwstJKeBn\/z37Ts3P6BY2hhHkUHBNF3NJ5ttGTDDkcWTi9taFzrTgBtrVY34zjyWDi+Lv4tXWvXpC6BEHZxmzppl0JP2Zp0d0XSf0eoC8CblQl9NpEte\/sU\/ZcepBoDfKFc07+HrT9MzJ+gXKaRMsxcTEt73AEhG9FFdSmASRzr6WubiLAP+b1R5wFmwH0x9l0Kl+mfOK707OKwBjskilihmeAd4Y4FF5HrmHZ3er9\/lkfRuG1Rduoamp3inc9e7o0GId5iDIlEw5PraqZ3zRqLIpbizBDRrmsxSxT8EX2z+h3kBiz7AxQAwnjO25g45VFZqi8TsKeo2Z1VBQKiO1M5g4scDARnCTZxdaP3EbB9FFwfD1Z+T4lgaowJp6ZPI\/F1kIVq7pZiXO9yOWSsAKhnaDC2oRph9kArJ5WN5R7CmxVF+H91ML0odtj46mX9fRUdVOqvWaD\/A82jix90ldaDHbNmzSREr4I7bnoQw1qa2rZCh+HzxOvG13rluHQ6oYogLWLa2+HC0K8JzzXwF2y9KdypZBmsvHuCTK2XyLMr5zEDyT0ss6xtGDpPCj\/G\/2dI9tMPaOqfhJGmH1TzC4DsAE3j4H4NcTgNacyTyHZqUps24OjSnK0zUP3gIz0QYNSoOAiPJtHXl1HtW0kzu9apHmpLttMClulDdnu0QeU2gYhiRBUefHHl4qKGFld0xyWLI\/qOYus1+yO+5lJmbbi2O1hhSyzE6cijJ7urY0OqRuX1Gt6aJsvll1oB8KtiaeSSAbY6y+cv0qI1PxYW5Dt4IPNzgltqOOfVEb\/VnHmdAdedo8+pCR+xgxRW+15oHxkYzo0N2ldjkkYuJA4wF05GVQdiy\/nzMM2mIYZVY+198KRHvT5VXrO6JrJeZUuGJmX+SdECU3kt\/1CQUR6nJIftV1ruSlPS309jZTkfD\/lTTF6ancU8Lx5OWC7rlCjG34T4qKEekXVwAWADdF16Muu6qle9Gb0ABh7zMouea4NIk7GiZ59UFQwBzmj0HiQj4thzJQ93O\/J+0dSNQTXW9jY20mKP78zcI7d6E6tK6jK7FOOidIOgdOkdbNN5CbQJzlXxiFuv1BQAht5R+uZxrhLr3yv3mdYw9wO5PAYDaoKqTU+kEV7qG8QBzBiuyFSVdeAe4tAFT3192uzL3Tkd432NMP6cwsrXIrIE2DCsewXyomgqLnAVc9jdIL6uiYhb6EoVkw8cu1y1DJ96fyBtrsvQo7txzyfl+NcnIKxMMxA6lv1eqc4jqWenmWgrYpxT7i9xrTJyfp5wj\/qhNK3f93gRsexT4+l2aCobQnGZjPBuVtaQTvEib0ojNhCRX5KSZQEGAZy3uc9u8hjLfjrMekQIPfZS184cQ2D5gEF6DueBR90Hw2aY3PCUvU4DAYxwAbEeHfNpar8J0onkuzzDmRgaebRapVc05ohbwH6ylkNhuGRtgj\/ElD8PfKKzqsnX4hUvUiCG5WSyBv0GkOWLmALcnvhutUAfjcqRU+cNjjvL0+NOqfRDzZ0HodPH3gZrFxeIYu8T0cj+3K5OwDyuV0Xj2+la8fG464nm5FbAWsVhP8GNZmw5fgS2Swq0EtxRNYpRg047GuYZeZS6pWE5EK7mi3Q3tuDrax20ejiI9gtgi2A3muKnKcGgrXe65JDLC3v9uXI1oyG4Tl893nqcr+CIwkbbp9fSgo6iu7+m6R9eJBaWDBKFVjvGH8+Vz4bu5e9axkd9x5lizJY+E5y36+r8XuFKZQGRtqVHmWTJ3Q6fvgW2aW7l6hbshwdwz6TNCc4\/TibA2T0GA5Xg+IoOoWc4JawLwxuJuluD\/Cy7rdOhxfEFNvzDrjzxl42QWzQc4O2eezKqSoXOPw1Lge76hwS4gkGHZm9ZgdKRgwNDZ9on0QHL20s45ZFWobe4JB+ccbsQDePSzF5SKm92GQSh14pRwfgf1vHozUncrlkBmhKI+lCwddMSbbVRJNwPYahGBQDSWVqAw4NaHG9ArYc\/aKiP9EzfeZJPO96TjLxGhV1tKxC2AcZ27HO0xfxNwXedw2OMyNmKjj+yfCJey0fcb4NJlb8Y0FY12S4YtR\/Jb8ND4dl\/H2qg3QSf6YpvIJ6HgVqlOJ\/l+HRrB43yp4xB+Ap9w28IAdHhI0ZtlOzLuqKw0gMEWPvFiJls6xNawe8tfRv88vqsqzgViXJL1+LC5H+hJpxathboWnoaYTAO\/eHPF1DjkvML\/PFPVmJiEvExZ9gaZMtniEsxE2bNKQ4yR\/hb5h+mL6lAg+\/rplnuwMDmCBgxNpsAugGTkmTrpKenhn\/3Koig06ye5ady6\/21GzjV0a7vcUIdtzgcZCFT\/ntj9+RHWvjFl9g+xSTYdw91nf\/F3Jg02iCDcQ24Y+zTuLrLobWZ7SSeb+a3UNznNX59vn2iBDJ3maxbbyhVXMI7Diln7675W+reH7s3WN\/kG\/S80LPySvZl4\/fAQhjmQ2Xx3r5PvQu6+5EfU2eGFzFdWXto1TTCKRryMAbfLVULuxCvtA\/omN1tBr4CJ8OgsWPnDZWlLyUN6FsI8lER2tLOEK9lf4Lg6fdvui\/0sKSXvj2JswFfD7aZNsZJqB3E3kGy63DOaAGhHjfclqrSmipozxH3KTQ3kHsf3jqknhQ2pU7xuQUQufMY\/U9h8F9nB5BvEX+K29AZX9GxRPSvWY4QehvkDL38zliQn\/k0bnFDuv+MUpOqcsvTD9WD\/e8PihnHp6dO3T1KMuUWsOFHisRQvHH5+3\/jxr1Ii861MWn0BEj3GzYKwW8hdHhmniYTKaobS16MIeAMS++0XW7zpeIaJlBMoBQLYFJnudJ\/0\/YjdtwGaGfxPdEXMWG977qOWbwUKk9YSN2qhLVnvPtpDcyEtlv3dyGFP6Yqk5eyp3lQkng+\/OufTaUyOywmC7Ihpham8kAsICepGmDOsQsdNTumAVjdlvsXNlyP1QH8uL5nfImQGbwkxmwHBB8h1i0bYkU4LXvy+HBAEP1H3Ewx53G0z9j7ii+e5dqfOZvkomXm4ahT0bH0I\/HuhroHo+\/WshpWIBATB\/GpFJtWvBEiUB\/Gew\/TsUR\/bjTR05XNhXbhs9ZopGM4LnLp4Ul91yE4RZpSKaOuOoc2jEBdi4\/oLlmbY0TH9EyVbZQiwyFfy8fs2rb3H9XUHYAEfaYlEoP8FC0OzA5HH3TdNZ6KGykDGoBuTXB7BslVDsx2q\/rSmZYbcp6ZA4l6NG7LfRjWw6taojL3Wl1UgtF96f9aLlFtjm3U1cxs\/HT0oLgYGiLbCd3Bwtf2IeaqqeOxBCEoz5VZaYBi6Tnu0dnc15t5ib5lcqsQhYvDIc32X19hd4SkyYWJVlJrxhVi7kJhXclw17NlmBbCsTuI9RJ2TK7WjEurraUct7vSFFvsvHTGpOFmQJg5prp6eRe0fo0yYEw\/iUdQxrVflgmi9rh6GSzfC7ZJ50YFuDM6m+P2BHUDoYbbhN176yflTsfZS3nDkvxdE+5OhHiAOpRZuN7uCJnQR+HMcYOFnsEG3RuVq30wQnrw8FcEviGUz2qH+FVTNemmlC78Npusqud4roIXeVmXuCkl2h4zZuaQe9ShDf+nTkb5Q3Z0kCe7rpiBfUhoAl5mT\/t44BvQ3+vFdlQBv2duuoZWJb0Lkd4PVyeuTgvjYPE5zBic5C8WfW6oavWpxbbYaYI3MUGLcXuznlBntG1UtTfdKrKdPM+hVxxwx2fDnTHS210ENl\/ijj2PLUl+XXLAvDGYGCwEvOFV8F3syrb76VMiCOuVbhITB2EvNo+\/c76IuRluZfLjXwBdgMjnzMPHSJxYdhKinrjL6ebrGWQNAB42FRLML6+HXqM5tAMF6fjKfVQ7T19\/P7SqDu64\/TSWtV8Ed76ABslivD8Zg7AxgUQOdPxet8qDP2wQ+hJCT7dTSBom5FAW8UoeUOA4B8DsTI6F5SiuuQDoJyOelaSg+clKC7nw8S+d8w18+23s8mD\/SJ1D6\/L0By+Mk0ABFh0xM8c6agL8va4cLJO7GACi8eV9oO4gq7gP+g3l7+2dK\/1ww\/h5myaWCe\/Piqr+MqEofJczWPKB\/W3z3p1XLzO\/ni3e0\/NwsJKxhtt62wHaaa\/0g85gCJoTNR+H9Uwve7FPEhYzLYyK+qOY0PPF\/nlzpREi\/Lo9qhKkOxTWaqc8Q0EHNt3\/MpETOKA7BoAg9n46DcEtev+aY0wuKwAChUlgFHTJYLs\/hWX+Y4oO81GPlNJsz84e55XDIRHobPNM7lh4GyrVZIZT+uhvMjWXh0MdkPYHBdHtfEwwxo5Vxs0Jf5C6JVZ6ihSxwNOikaUqYP4QgGv4hhKaZh1FiUhCNFEBP53y3C+ptiirxlNvUG\/13AlvNFFFIRrwKbkS6P9g6FxqWWaGDrFUWObmMY8LUgSUjR6r\/DY5XCIfjrxx1jNSf9JrX2Twb+rMAoZstqqu9LVgn\/T6cbPfhKyaFjAWDH\/T42AkpMigAzMiTFh5yjbNNE8vNjpMhHH9hd0EjR+IsYjh5qyBt20lk3BTAxekqWHChX4OTfw2SWhRbwEzNek+D02Q4pjObny1KiAY1Acfvtaj2F3aejO\/ZkQW5Ibaf4M9pzP53bqliRtuNclN2xaBDY\/Kkr1Ox6Qoy21Qd\/G6jr3MqIIXH70Mx1SmT6ZNeB\/NfCmAVcKygAiKH3hbd7vrhoPx57SHCW5YzarHz+rFDBNc\/oLHH2UBrCG5WrTqFyZE9M5yWlurLWykFDoZt3GzOcnXwFSAInUqgcBMKONPFSjQP6PhFPZ4nBodJxNz8s3woFfvQ+YHwIJKxd6V1F6hq62iNk2CKpXgKILYnmvduY0YzxfzjLedJkWEPfB\/qa\/9LgPt8+vveByiJVTpymP3iFSFClfT0TPFa9VMEMSWXwEyLBI0kinxikimGUD5VELcyzIHZunZNaYfXldi02PBayQD+IU0cLZqondJEeSocUozAUJyzSNLUGY\/40dDuEWl8ynTA7z2o6CPqW9UrBv7l+Q5TEtnkIKgbk\/mBTJARpBBw71Gp08pjxtKC+ZQu5bTfFmnaPHxJTaZ5+0xM9+1\/yHgU60jNQ+wa43HzY\/oXw6JW2j+u8z7ZCGeSopfXV1EEy9BZx+6IVQz\/6uHIB759WpU1plPp59XWsLoKXSFxoBAed6ZnQiBGKB17lS8kD4qsN2kf+24Xsg0Ypm7j0p9m11\/Mo9zze50AbigX4Y79XNNgUeLMT12AMM1fnllV43s2h1LFhqxdMP8wGxna8Y1wMK24ngubqv\/hHJEPOxjh2JVjwur3NuBP7yEtA5rFAjZp5R8vaONO2M42zyS07WdjBiDHBjzgjmjySJcOLOsKaOOa1tglopd2zbzpc725he+VAVUE+5oEjlUgr9exNKO1qH5VEkl\/IQXF0f9yZO6B8DY\/sRgYxQkbg\/ZF2ngrwFNcW8yEp2KI1S8lsjwIylOuc2dgoA9j08srHXYS\/torjql0mV\/xJMLgQgsCYFyF2550NqpgkOFjPCHfnj44XhD8N+TejijFj87UmYFJIbgGFf9J45xMrKhtEDPKmtA3sMFf6IC6mqSrVpKUHTJjkDxFMChNaT1qu5KF51wboetGnMAB4mRq4EzOyNEwNXU\/Tn3EBARBIMM4JAjK351\/iRdX0ynm2FDU2am9lxPXV4PDNiDjRk3Rh\/++g4AmnHxN0VXfbcyPEvo5Wxwkp7hZ7jDe06e2WlNLdlqQRNSF\/rot2jW+jUm\/\/Q1Y6Z\/rsN62CujSmqxRQqbYSuJQ1gZSElYy68aD2y68jGh0SWqKESiUwpmTk+PPl9mKEtgWLdwzLbv6A8qkGmY0TDw8\/4CWlLjeqwVI5CprhuBCoS8uz9S1\/G1ClRaHZpc2bQPymquSDrngRG9gc6V5B4coGCpf9XcVUrpz0PkDVwSc6SWdxbuIdIdBAk2acr+IoVngutBy\/M66vtPLHEn+VUYARGzXHgWMqCZ3jCfI0E6dHDv1VbaU9XajxvdGqLyMSoWqeKzLE8yP\/L3lu3wuZC5w4s44Vv1aRLWgyqEV9Jv8xK+dRZtkit5piAFzcilQvIaq3kDTg5i1W3sXqlJJvQZ9MYre30fJ8NnkUoo2S\/nkRpyRfng0iHtM9l0ib77+EgOEe5GNqUXROw0IwGAjILU5353oinkMwouCJrJtDQ4DbdGZhhVIOmbLq6uQ9T6Gv\/D3jrv3dpP+7XY2yQoh5GyqNTiRg17q2WSJA\/5IlNHRHhdO\/zHi2U6jpUkfs58+WZUhVPfTtpwHNd0te8+fHgd27aE29G1dgh7Rkzoc0remwSq4G6X4gValftbC4fG\/OzdEM9t6aCFQ0Uf90oZl17ZBL9PxQmEjfR+04oiRrKeDrLMl6+WmiT8ksxeJsFF0uDSOn\/tm3L7kgiEnD8qoD\/Sr\/8ZHGWT32HVWPXYCKAEUqbzdi7oFD6VSXadWT+fg0fMv1+ScAwTUUOXhWxHVR9OiomtU\/FXXbWORTICzfxNEib2S+D9AlRNQSETQQdUbuWDwLbiAUO3zxDRLuPhI6rdpM9Fc5q4eYY78yE4r+blOl1GRll7bYumHdrk6AFnFsrncN5xAv6H7OulU5QgFzLUQGigpUkFlDikC97TTdoYmn9u+2pdkV9AAQztRcc8xtx3Wk\/O\/N0\/j+N5\/XVVhpuvJv7RF\/uVFMh4CXA3GbxGDSqmza7il7zR42ZrmzKjd3QG0McfDw2ZsU29alUtV0cr36PL2VzP1k7SRV2Pj7nV13BLMqlCB8HRtwHANmR6J\/N\/MJC46K\/snzQzZOIZLR40BOkZmle4wdsnlmwwdB0mYKLhTnvO0d+pITotpEr\/dab9Rg2iy1Wozc65wqiYAUnnxxKfiby+5ZuyRtB2EeGn5Wionemw6sxadwnL8pxP\/JQSebJYjSpMxK4pwPRoX2BwpksovWwCiOqe0R3gOfJeyXomnsKCbesAIPaYyXgUIfyZ3Nwd989\/DGhAQR762hgaTVJcZfv2KyF9QDjjyWQnY5qgPAeRbVV82j6x+ZxIiCoP2Wk\/jPFs6TcY4r87XHq2ZIaMLoJloolech32ccNj0xatdFmA+HvtXdP4VO5lfJbGqjVJF2ANntwglA42M5qMc1K\/M+tWCypGl2tQU9VOzQml5H51rO8kd3UBLSoyNFmP3MqDswBuLuyvYOII\/cg3YGjiAeqbBbHbclWldeKTIqMNQnWKuPu5xQC0jQ2+DbT8uJI\/ZOr9bxTjqhjxk7JrCLffCURf6k\/Yd0IYwlIRz3C457sYj1NrOsd5kI1MJtmlNyQXKZCB0Egf0wANCgaem5TWW6vTZ5ATVowWl2s1uqyG2GXRgNTbs4\/RHPw3jjg3QIZZHrdMZW5\/qbwbGtrT1iaF4H\/KYxoCOdtLf6RXnswgD5a\/OCe1M4GXcdHvi\/goLBtdl3ghfCDTYrvXpjuYhDJDa7iX3bjg+dyDWHS5cOQ4ZdOhHJNJ1dNtoN7CKO97dUdNvTjs5tCeNjdxZMuLN5Mq9AjKAY+67BzFQMRj5mPsp5\/ikLimRuH0ANhk6WziV09Zsd8uUYCLjKNvjQbTlQZJyWV3Hut8zrx4XRf5bv\/nk2DGhpoeXQqbwtKuNoHykyaBYkGfXbBoCF16w4a12X5vEN5UlD7ARCfWgbxFCXV8nOHHtGF5tbW3Y23Xpx1wKiDAuGEZtecBg6dX8LV\/Q1C+ynyTO1+q8WMJmz3ClTwKDOJ\/bS1+Ix5sV11M7dPnHp2YrdSWX5MH49KF\/f+vWU0nafPThyrifE01XIgJ\/3JNg4xBNrM8JWD05bupKdJU9mMtCAOe87hJ\/pFAEguJZWDqVevk76PSOn9XKF6TujOTSdh\/uyXaG9UgfOlvRgjHdk6W4ydyBJy0P6xtBBHUJy8G1mEVpoVcN5vP7SzF9QGY6ttlLQ7F+wjp8AykbcL1m0gbpPhMJNF6HXxH8HkYl44a8tNy3FvBdtPx1L3E+bgf4z2LC8Fq6rH4LhRHQ9LF\/brBffV0UyiHdV4zlHSqSEr5ikD4XsNALOnSon9gbtihoGTRckd+GnFNzk4Y8FGPNdXQ6O6aofJk8m3bCGM0yIrFJQnF0W7\/kG35pVZFifLMva3O5qzWMYFZACt\/ibrRP1ieV2mIg97lCzKfjVlOl944oxGjhhCcrAxu6aV0QGEv+r88z6IWqCY7JWg6sQTh6NjH9jwxj7T8\/QSbElWma\/PpfqFDSagGZ5yJ2z4XWY91f\/A0BYCKTym6kCK\/VLsGD1swctTllT+tlm9nY39rLQ5Oh\/xxNzszq1MXqxXXBD7HVc5gnVdLEL5rST6h6ouiAiFGyHfVUiUkyaBrhEfEF3oYgcYPJ3RGGk7LVoeo7C3DmAjJN\/e683OR1tbUenAGeeIkJ5DMjJPZJFEAeWpoqF66PgZNd9ZaTXGXbVwVVg27ALyQiSwcVRT+4YeZzeBFCoAifVz0VQ2EsZ\/HmbImnkPB68w6MkFjDXLgAsSiocYs0nRYhyQ8z3aAcPPS5wd0SFuBaXQH0V0xUgdanHS4R4\/WCCjq5S\/z\/tWcc+NyuF2XWXrxHtdXeyJztKUgTVhUSamwI+Ax93s39eA4O\/3lrfz8X4cqBkJpdcGtovQfQLn0B3Wdq9oBSN0jZcxIbPKxciGUGtpPIXEdDNeIGuRMyW4PN7BGKIY85KzyOZl6sFGi1wrbSShj2jNMpztg58\/vbpVbGnkbrgawpXwjepIP06aEqDtz2snKyrtFg2bOOrz39sDX92As\/dyXkc+ivzFKo2giMDHIFL5YnkvQkp5yrHs3GrX1yYpGNr7bzNW9nuPnlyXYRsFmdVQueU1\/udw8JRCuZx3wX\/wzqS4BPbQU3EV3m0H9x\/95K9sCP9PWjYryz0vFyUMzmBtATDvKUtPifx67VddugPjRWOkJr27qNQ7yyMRpspTP7NQQsagp8sO7obIYCz0h1jzyIeNF8XdGeONU529mmaFlJGUaFSV6a9j6OdJ\/VXZi1qz\/rh8tqKk+no0GbkZUvQmnFDNDvnAvIDXEfv9oa0pi4Qm6Z433gE3rLtaVSGMbShFWlPV3L1bM+FpjOVk2OKQuoYfP+WUxiEiMEbatk6Qdv16ap6m1tRxqVG3+CnT0xAavryHNeOw6S\/PqNBJmrxrRXQkJ1W2wmobWususXNlweIBh5HW3nbdQZmKRkOyMDQf\/KuMk4zHvFqEnzTXe2QEicZ0bfE90stFn0dE2IglqadJtSM3JnSTbk0yvo0NNE4bQhjEajBe64KHlRfEPW5xpDiRtpH2SP20FqMZdgnb+\/DUXm4iTZ1kMXPVu8bDiUvknqJI6rWpp6Aw0pIafsKeqEdRYQfXXoLPpPEHYOqS\/J8n9\/1sZoLdJTr9Hp8m566FEOrVI2RuyMe5hQpEWeOx+jvDGhu3pVWJrAphDBWY7zf3UHRxE2kIpuFgSkxLzD\/VHrI07mFaF2\/Qt6e1TTgIebqA7MQ1PFYg2+\/hbzlIdqlGGHlbwm6B+LZ3fVmOvFGw0aQ8ELnBmKH9ohn6BIcYUFeN3KnxvUkNKBcmcl3h3Rtrq0mYcbzZoZl8g6IPvEtY4gOKvtBag4lnk+NKE6I5Io9jLdZiJwNwcmWlU8rMvFQIHJc3VBessycOhUN2wM3PMwuaQ1LAIGQVWEZPmDkcswnriv9jReRA5I\/alTXCsALkajd2MBqb\/iC9N3AAiQz7Y+lAAAMvzGqPoaQT46\/imdQ4clL4nmTVqbOVI6rznxp0XuBjczQC77cTHkV9v6NZoEx9vz0wOFZu+lT2E0afZ9fwiSGSl311ItBr4y6zi\/fk6+zuhvmzQH7mDuOf\/TGA\/0JNmsYDUl1UAEfxg7V11WQTNwCsarOBMah0w6jL4PxIUws2NbyW1Xg7OnKS1N0MXDCwnPEywNX2jVZlWpHSQSrE8MY05qUfyDa4dmgCNFegJsSlucBee4+si6An2pBr7A9NNz0W1tOAjCyL35h2OiJ0BA9C8FRU8xXdsjZ7+a6ZrZQK4eODG3sqhpAf4txxJaUbg\/2VPOTbNjDmiswiXbW+oho8\/n030HAwWjdqXoIjlVkNZzvKSrh1QquhO9hWdSqw7V6qH8yo8WDyTBk\/Rq7M\/ZMWVrkrdVruvRowPssY+uhFC3RS5sdQ9fKxMEmVkP\/\/C14zngIR1allfdwkSbhQPpVf0cQPmG4qdMy33UtC8Mo6j1VPKFTiAWGdEQRvPoguSgscXxFqc+5nWPI6p5T5L8O+HnY4aBZ4kmyqeMYA6uhFFUVM0+aoHNqjdtiIemAN+Y0Cqu1L37o4\/lLsR86pd7pseX8kOPwOQeC8CEkKhzRKXFKuvQHwm4y68HkXv1Ax9SmDkAzLrDM+rBHMeMfJi30Yz\/ZuobDCSZBwCHq6VHh2gHhp4dJlJkfotTeDCgHs4L8WR+8hVAd0ITq2NJ1owy3bBShxYq8uZp+18HkzTgPKjT2dU+mJuXEl4ufRCreH6Vc5MdZe3Q4bDUiojZ7Z+QyVJS\/zxlfFu3CfnpXmqKiXp5WXE4TJrOFzCqIHnr4\/gvTeM0QRHGTQgk3zaUR2uNHCl46bICfxfJHMs\/Qvys0Q6UIIkkhXhD5qr2jNjrJdK7tC8XDSazmKpdMKyiIoB\/s3WjyQD\/sTi8gzU+1qZ4\/ll8q9M6xjixUXKrNUAQK4K4P2w3te49TnJaHqHqAR8AIf3Vsh1kVDk+AxRqWhOeHB0wchgRtGPdj+rLPWo9AtW5P+GZka+QokPliUEmni09c9FOftX3bz\/xSj7Bahzpflb\/i2HpZZN5PLhDRBBC91AZilBFEnQ+5\/OK9wJf880uQswSXEUtStbPIvgiyZsMbiVrAsQ6m7vDQpKVD+C30rCZGMPczKkyuypmQ3RnzYBdMW0Gv+OJTMrRzP2tRhsqO4Sa6dj53vpsJmlKNlyTCl9okqJXQoiw+ADf3V7gzqILuTymKitky6gRe+F0ybKLX4ZPLu472dyNW9gZVeaV5x11t2sL+i4fCBe0+2jEe315PGRi1HyLFEtVPQF6K5Kbjyx8IH797jR9QlavcRSMweTfZatzWFlAfSQe\/AvQ8rnoUHZHqYhC\/olCcVOvqQ6RUnd+DF\/vEKVEOUSxiOKY3sX5E1E\/b4uNG6nkz0WMhILPGoe+Ti9bwld29nM2fldBWkhQxlzmxBttobIBv87MG\/+R4g+FKmdCBZfFXCuYf\/8wqiq4l2TG\/Rzz08WDjKJ4qwXSOdSR9LA3qOt41varXjFTDR6l7rd1D5rjogq9HOh3tSB9ZuyvNvQDaw06MPJhfHNHCNeSUJCwBQg7v8Ga66W9slVW1VxJfabS2bXR+8atmN0eL2638KfSgACEd7udn\/B\/3Xe5Sbsn\/snenisg+8b+qvoeIJKTYAc9f07lxr\/vcV1+R\/4SYmPYZX4UtqIGWeLqvQ79QdPhYb7b+cYMEEdQYJ8iYyCGYonH8PcGcs2fLEkMgopuNS3ESAlWFPCp9pSYI1lkFH6B7H23TsaKAepOjfumjAx3S6D\/d2dIB2R\/aPVtJWXjJDMVIhNFevAhhiPZWy3aF03zAKi3Kvk86MgcxBPU2qBZOYsO1sdtDCGyfGXb72ACNJVRH+0RgymxzW2dXQezpjliFT1pWDX2j7GlCGJ79mflVT3ECMo4ysa\/CWtrplZMH1HLj1ceFQWCvDkq9X70aAGNwLz1gbFr0mAYEdpehqO35huiz0xKdjZeuqEyLbxIG+mKaTtBeMY74D\/62y3PYz+WxaUGE4+8xcRIAHFHWs225ha5zY4pVl\/8ZhMI02PlAaFFlh3KdiaOo0ln76M7noTToGj2uqV3bdDZBHGt9\/EZI9uDZgaxcpH\/yaBdroKUhrgqm0ufCadJ554bHv\/2+dG96nRvSKb6RMMayNcN+m+mU\/LKvFns35S9i3f9MYWKDDWLfzw6oZBX083JuvYhmc9JpYSjhHTGJoUSkZ\/jdatA90I1wJvElHWe4VVffwvm805OpojDh9kCukPl2XPgV842ul1k0nFTyRvR9VQ6sv6JavNc6d+TsLhOcUfzDmDmO23xcTufL3lGb09irb4B2tRMSlSMQtfQWzzyCiXaftczcFtUa6G7\/UiZWP3AXK1n6ehyoulJ3wWSZbCwCrgsM4Ej1pRp2ITvWhmI7uAD9uOPM8YjUOWUEGQbC5vGfGXdbvh+2pQABskwNwZqqVCj5NNF5xZxO8wA2XHZzrIVhSsxmZCFmXKU31USd5eYT7IsPHor8YTakJdOkslaUBOXaqijkxC54r5SnCWEv7DBGkWuZ4b+E6QZOTcrSSui6GrgkzgFRMF7yPvIom+VYQZMXtNY1cWsFv5gz8wzxR7W1R0EDwKCjjW1Jec8qaxKwGHBuiq7gLYKV\/PWQJe8GEc4Y429nvjeIhMRfwACWb8RGYSYn0mocOUW3iilJ7JHGaWM+KA1mkksZPhI1s3mqQvO53JyrvpntZmySoq4dw83VQcK48PE8yu7hL6pIFBmjd7MbedkzamJ2RScwbm7XPu79BU9UNHmQuB\/j+r9QhhX\/xkFzFNQRYP2GFH0mDNFUHyyNDUkG5UnDlLKu06h6wWCZcTZRM80Ce8N++khNv5F\/C4MiN54v0ogmtJ8Jq0uiab4kXibtAOUnxSTextrFPc65iLWAt\/sqttn\/+nHmbqUHWaAYrXBqVgt8SzR+BctJ4tYVT7IKrVQAh\/JtabJABEUpEtmRMgq757mAgvZp2Xnjdvl\/6h+0AWwAOUCYUHNRHZ\/sxOAjzH8raaCvcYO+KlGbIBWqr2CY34IiIj8v812d34DXlo+D2A5DLDmaetdG9qCaq9JIlAXS4REJ8TBRyiKiyP5pinPldy3yVYlxsBWLgNYU9a2IuJc+l5Rc3xInxhhBDDzDdPWkcKluo3NQvnDJc6FJ0SGCKHfL9NjPHAChTGxdiFPSNOo1JCwQnwu63vb\/73Ko2ymYYn+y9HUaueF79b1kslu+D08ZTaXs8\/Um\/ouTjj\/dhSldNGeIC4oQFr6tcZssg3zJATWaqPv2DZY\/IjO\/vd1HxDGvYd7qwZl79pDm8WEA1awk36WHwmzAHysaRpf9VxRfhELpU1g76e\/UcoPsxzZTc8gABY3A\/4Y3cSrkTNKEf5APC+vSU5s8v3waiR80Tm8mtQlb2j\/Uze0R9qCKehVVUFLjcN\/IygRYOQOZDE6xBlU0h4fn8+vJO3uZO1IoT7WCUy9zPFlyzUgxMh0OKyBoPl9I77H8pYhvP1m4S5y+HF0C4hy1IPh5dxfqHlFTGsa9XkIlqR+4t2v2ju7755Q30gMhN\/RJSn9M0XPtCjcU\/kGgfF2xou+de4Q0HvuWfI88rqNLo4kBY72\/YRD6\/4UlRZ57HNtB6iNdwAR2inBkT4GuuomTiPi7kW1GUi7Z3EBu6bVmSt4N7wxZdYONn5\/E4fBwF6yFwNRUrJc+bmmaddDgjDmaAMGozKTzjedshXh3NMyixmvQY3kEE\/zt0ccgm\/jEO+zx0PTPq78Q0x+wFmabZndJrzo\/ItTADyzk90hpEqcd3tb0xQBmthmS\/gAIGok8PruNIYfw5qHiXZFUFjmUJNaOzczTYZQqK1yxWS2RCvVUzn\/LbF2HTBjKR3q+V7fNguIQYfDRfwcfFmGM+bsagE3z9Zqz\/6zqg\/oqe7OY0CF1MX+jVEA07xZLBe4S9QtiPgHF5XK\/NyQjvS9QJUs8le1lw+39xpjvbI\/x5pAhjZ5oMwRpWLBa5vvxZedwzzaDUlRCIMhhGHc6vDtIetwy7ah732cSmSJ91u0yWrw2P599E4cc4hONTHjPQaExI21u3lM9fmfcCasQlZZClEMg9JHeRfB3rdeqQz7moq7EHar79UqJpjdGwdLqbPRwwcxOEhjd\/g2S5yKoY9mmKJWXO1lrDha57UVzEF1Qf395eeeGS9JbC174SAH5RNLfyvtKQYHci4J\/e7jQe+eBkSAc4kbZJbPcStsFZ3eKup2yymMA\/1sOEiMyo8WHrpE\/VFw\/qpoIu41vXRHXuZL22bfNnZYQLmBJlqCXktCAGKfcn8G83E8rA7j\/llVVGbYCtoowPlR2H+zH99ThlAjJyVs2JZkLYp4nnpUJCjckrg6Va3vLZzL2D6Zxt4QAHTlvCewnwE72GdTissHkOOlweZfzS1LvRCJ\/TzQ09R+BwJsE7s6gGe+odpPlAqpfVReBY\/vXvxrsK2D18FDOevqnV+V6M5J96o5D4HXxF00L\/nRWNa3\/quyZ572FADNmePTBH155vSn8qAdJeJRxm5dz95XRaAN24CTP+Td6QBFQ3WEgogpDSu8cf5XKhaRpVCgACA1ZzyDyRToXwPXe5I42JZkbJaFfgRFoOfYnf\/jxbqjrFAksmPFWyN\/0qhCGDUa4vtOmoqE0ZYJwhhAbPQq6GSNK6\/zwC\/y7BFRaRQI\/KnpleRLcQ1cpW9m4GFgxf3\/FcFV58iBOQoSm4JnCQEjPkZas\/3h+GCBbXDI9d\/calaFlsq07QO1EEg77UnagJBi2OrI5PfkJD4gGxA3n0mniErrDfjgfPkfjGGAO6acvaR8ICD6bj4bTcNbLN4bgGyp9\/ZcfwvAS6tGe0nxteQFFQ7cCp9Pp8vsvT\/SfxC8QjWcc8CZkUtVfRMAnrUVrMhs8HjzoblIHU6naT9QrFGFRptDIlcnAVMBJM3GGExjne\/g3sp9LEZjcsYhVpgAiWaFtPm4hMcOiGK2H5GJHLYlSj3Ujj95BRqM35HD1ml6OS+rAjCILyJjkWPhx+MBhkvnFHeFexIZDbHICEVwdlanigiaLwqCQ\/BrsCdedlfYuKF2qX9VIq+OkX+0I1MOxzpZAeCcV+wzDF\/tnLca1eBtyssWDI3wyHRxGnvwNKA\/gsUwmU77D6Whf7IIUP3aNQSIUsf8SeLYOAg0XgsG+D9AIikeZ6bBQjztvffDhUSVOMvWY5PQV4a2EJmX+ZyaCWJNF3tOmx4nVgeMcXAh9EpPsH5JtGjpFOkvUF61hhlQZFl9F6Q7H8Fmm07jW2XgxGnpyKuw2o188MWbNF36n22VK66m0gpiI8LzLXAKgagXYu7EmBsKMxxiHhccdXyDPcnImDFItQibRVzWlmWjjKHhiBO0rYKn73eOYiqFtifgD\/6BHLWL4QduPQAd2NgwuW8FT7IvlO9F2R7iY3f7\/kG\/VTCd1D9LJa76gjFXtpWwdB2blyq1E8isYW5JZPuEIl97JZvCHW++wFeUZwaMzDAvGxdgpegt0k6mQAK8+c7Ap4BIY5MZN5eZQVEEMvPfP3bPk1SEDLExxz\/7d\/n9u6VIEKaUqGkiegdzzb\/IEopYTsWeAwvJ3tGs\/K2ifey\/FAxQZKoz5wyufw915EHsjSS7sNFp+1mwXEtOTOhnkikyp3C7mkt+5qUltNFKcP+y97ye2FkrkdpbEoVL7Ce\/0e7itWu5aPhWnXYshqUBWEKrLMab2c2vFryuncgyAoDlbdSOmSn99oiJjH7Yl89sG+mMLMYsSEAAwZTzLQS0OsA8Z0oQK6\/X9\/g\/fHAAM1oqGLoS4vqOYyprtUIeWqQARaAJpnBvzhNdDtiLtu0AANxPV812ylakJTxc2s0kxirLVYXtZr+HNW\/S7B+NbGw3KmOTfGRbw9qZyeTn48mWzJkAkdN6Gyba+7pWUXN+FZwWrJob1rai9XtyFiv8+h3WPx\/1Vt2TwsC\/GzB+I4I4uKsp41r1eDP0Hudz2JADKD9RF57HJvxP9G+Gw80G+66g0EYQO89HhEJtD7vX1qpB5Mc7eA4AJWzwfBPx7HGNhNI4VTlRFrwB7iccFbqDTnBcrqyGcDHkPovPkbxAzVMVku7iUfSfyDXUq\/264bWAFbooVKYTGtXPbODZSgdt\/FD09qb5yumFzC9T2C5VB2rKiZlHEgwnT6Xb7+mHX9XDyiz61zSI4jq1TASrqtBE3p72Ug3NU9+HFyZ1+e0Dx29ohP1XlbCtaih3kNLtl5SIORloKoXxmTwPDY+EaaPxkus6QVIvpXBQGcQqBAJgBVu\/gdoLYtIR20JbEP+t7eQvpZIkpIfU0zZZE389dXrnr8hhROGyRZNh60Vy08mgJrIV7bLjHyDNIYERuwfQ3ZKCamZuHO8230OOyx4VpZybFwTQ0QBsOGCbr7xXlnkuEIjr8c6MqBzgsg7jhwOev+vAwplAeuiibfQEUEW6W\/nTMLbeIH5Mt9rmXGx5V2Ye9pzPwwAO+slew\/4y7KFcqhjJHqSLgify6Lb2xonuoDojM55thMqBOFMIHhrg87GXaDmBSNXeF1aKPVqyHwIRWJKJr11pnCZRMuu+GD27pV+I0oUZ4evokU3rs9HeCQTlhbWvOInrwo\/kf9+eGxzvF8v5HrrNXVQbLw+yDGZgtSBK7sYuXnzCF4\/t\/hntKoqI5OVgAP6MXNckvT1kTEkjKEVd5za\/4QMZh4emD2J+J4EGhfEgmflC12e4V2RC0BzWB62r\/qLE0Ij37fV8arw2IFllkQBfgYb0uJVTxiBW9jZZkSJWNw3FfDCF5kwy\/HRSxTX4+WxZfnn\/gud76GpCXf8++e6i5OwtSG1s\/5pluDFWq9PpK\/bkaU7HQ3DFRdiSI1mecoKpa\/MjD3AlWVuRF+t+N9L2PiZkpx2dXhhWHfDjZllsCHzOFfA2CpQKsjeq6VSMtmIXTrSrkz2sVPl8wBISBL0VyYaxFovv\/dmTLhNawVgyIqerNW8oxhPJNCPS4kNWVZ+ERMMVNNzGcKOYNYHt9HP7K6\/ChUzjE9bZdWlULHkZrjwkYfg3cEINeR7MyIVbNS0qBXZBkhmxx3CYn74fsMIe3upQ14GKpBnckBhpdWDq3iYyy0Z5DToqn493Tx8X6GMKG0RGe5x3qf0wtGBpyyuB59ImnHzhwWvNAtMIqN7unXIY1miNc+OoHAwwr8IB+WVTJplRmJtFTgi8RCj3ibhxrKriYqV5O5DAYIB1IVq6jw6shyrz3TJvIMBbUerbchWXNTRJZoI6uRc9FWu5fzm90yxJrXvVV41W2uthXC0emL7bAqEaD\/L+o0WEckWf0f+V5AXIdJqPYMlv4NrXRoOganE4PY0Bj\/mNxNdrTQJqFfCRf5CQ8Uaxm7UcRt7TOeY1fCzwZ3wjuly8gzB5Dj+TVVHYYVW4AFA+LsPzR1pDikxSKW2dmWhAqRZnB65i\/HyMfiJyiBoPN6yfiM+I4p8XImPhdVmyl7LPxkpF4vercI9hIaE7atp4\/fjj62dU\/r8gZYIYxI79oD8z7Kcmdac5I9Bhj64FShCSvEHnOTcf3Nb0pdBVC0da95rH9zVIAUZyNoTzT2npFysEyN0NCik6bcnxmmVpd8WPJ5oeFOusZOVjxDJpwahsGqRs5PBs1f\/MEcC7dgt47HqUBuZ95G6QZLb1W6B3fZiFL3ChPU5PAseE5Jzzbco1LmpqJgyr5eSO7G9mpEsZZ8BG2OS9bRGxubt0NgnXOvNU1j6xvmgjuaxvuYotLO8LWA43cXgneQkUb\/kf9jLEl+qStzMlGHHPVqIeNpp6M+9H6nbS5M2SsdBiMkwJqGuiO4TPTcqnO8\/xBAa6LoOuAnqbxVyW7sth6NFvkdmRDKDU3+J7SwpqGf5MlRBgXmD2FF2J2oPeNsrXM6SgMy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alt=\"Install llama-nemotron-embed-1b-v2 Full Speed NPU Mode\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>If you want the <i>fastest local installation<\/i> for this model, use standard <b>pip packages<\/b>.<\/p>\n<p>Proceed by following the <b>technical instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>An automated background process downloads all required large-scale files.<\/i><\/p>\n<p> <\/p>\n<p>Your resources are automatically evaluated to <b>lock in the premium configuration<\/b>.<\/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,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9;box-shadow:0 16px 36px rgba(0,0,0,0.07);\">\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 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\/><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:27px;padding-left:22px;margin-left:0;\">\n<li><b>CPU:<\/b> modern architecture (<b>Zen 3 \/ Alder Lake<\/b> minimum)<\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><strong>Storage:<\/strong><b>100 GB<\/b> free space for HuggingFace cache folder<\/li>\n<li><strong>Graphic Processor:<\/strong> hardware <strong>Tensor Cores<\/strong> support needed for FP16 acceleration<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h3>Unlocking Efficient Text Representation with Llama-Nemotron-Embed-1B-v2<\/h3>\n<p>The Llama-Nemotron-Embed-1B-v2 model is a cutting-edge, open-source embedding solution that leverages the proven Llama architecture to deliver exceptional performance on semantic similarity tasks. Its compact design and efficient text representation capabilities make it an ideal choice for edge devices and low-resource environments, where computational power is limited.<\/p>\n<h4>Key Features at a Glance<\/h4>\n<p>\u2022 <i>State-of-the-art<\/i> performance on semantic similarity tasks\u2022 Compact, open-source architecture with 1B parameter count\u2022 Supports up to 2048 token context length for accurate embeddings\u2022 Produces high-quality 768-dimensional embeddings with balanced granularity and computational efficiency<\/p>\n<h3>Training Data and Robustness<\/h3>\n<p>The model was trained on a diverse, web-scale corpus, which enables it to understand multiple languages and domains without sacrificing inference speed. This comprehensive training data allows the model to adapt to various real-world scenarios, ensuring robust performance in a wide range of applications.<\/p>\n<table>\n<tr>\n<th>Model Characteristics<\/th>\n<th>Values<\/th>\n<\/tr>\n<tr>\n<td><b>Parameter Efficiency<\/b><\/td>\n<td>Outperforms similar open models with comparable embedding quality<\/td>\n<\/tr>\n<tr>\n<td><b>Embedding Quality<\/b><\/td>\n<td>High-quality embeddings with balanced granularity and computational efficiency<\/td>\n<\/tr>\n<tr>\n<td><b>Dedicated Training Data<\/b><\/td>\n<td>Web-scale corpus for robust understanding of multiple languages and domains<\/td>\n<\/tr>\n<\/table>\n<h3>What Sets Llama-Nemotron-Embed-1B-v2 Apart?<\/h3>\n<p>The unique blend of efficient text representation, compact design, and comprehensive training data sets Llama-Nemotron-Embed-1B-v2 apart from other embedding models. Its ability to balance granularity with computational efficiency makes it an attractive choice for edge devices and low-resource environments.<\/p>\n<h4>Comparison to Similar Models<\/h4>\n<p>| Model | Parameters (B) | Embedding Dim | Context Length || &#8212; | &#8212; | &#8212; | &#8212; || Llama-Nemotron-Embed-1B-v2 | 1B | 768 | 2048 tokens || LLaMA 2.5 | 3B | 1024 | 4096 tokens || RoBERTa | 1.5B | 768 | 2048 tokens |<\/p>\n<h4>Conclusion<\/h4>\n<p>The Llama-Nemotron-Embed-1B-v2 is a highly efficient and effective embedding model that delivers exceptional performance on semantic similarity tasks. Its compact design, efficient text representation capabilities, and comprehensive training data make it an ideal choice for edge devices and low-resource environments.<\/p>\n<ol>\n<li>Installer automating Intel OpenVINO backend setup for local PC clients<\/li>\n<li>llama-nemotron-embed-1b-v2 Locally via LM Studio Zero Config FREE<\/li>\n<li>Script automating parallel down-streaming of sharded Hugging Face model chunks<\/li>\n<li>Setup llama-nemotron-embed-1b-v2 PC with NPU FREE<\/li>\n<li>Downloader pulling custom frame-interpolation models for local Stable Video Diffusion stacks<\/li>\n<li>llama-nemotron-embed-1b-v2 Locally via Ollama 2 No-Internet Version<\/li>\n<li>Setup utility linking custom local LLM pipelines with federated LibreChat instances<\/li>\n<li>How to Autostart llama-nemotron-embed-1b-v2 For Low VRAM (6GB\/8GB) No-Code Guide FREE<\/li>\n<li>Setup utility configuring modern flash-decoding switches in local runends<\/li>\n<li>How to Setup llama-nemotron-embed-1b-v2 PC with NPU For Low VRAM (6GB\/8GB) 5-Minute Setup FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>If you want the fastest local installation for this model, use standard pip packages. Proceed by following the technical instructions below. An automated background process downloads all required large-scale files. Your resources are automatically evaluated to lock in the premium configuration. \ud83d\udee1\ufe0f Checksum: ddd50ee136abc11ce4b254f92795700b \u2014 \u23f0 Updated on: 2026-07-12 Verify CPU: modern architecture (Zen 3 [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[245],"tags":[],"class_list":["post-7473","post","type-post","status-publish","format-standard","hentry","category-rankers"],"acf":[],"_links":{"self":[{"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/posts\/7473","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/comments?post=7473"}],"version-history":[{"count":1,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/posts\/7473\/revisions"}],"predecessor-version":[{"id":7474,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/posts\/7473\/revisions\/7474"}],"wp:attachment":[{"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/media?parent=7473"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/categories?post=7473"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gespromar.com\/index.php\/wp-json\/wp\/v2\/tags?post=7473"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}