{"id":9900,"date":"2026-07-17T14:00:19","date_gmt":"2026-07-17T12:00:19","guid":{"rendered":"https:\/\/www.mobevent.fr\/?p=9900"},"modified":"2026-07-17T14:00:19","modified_gmt":"2026-07-17T12:00:19","slug":"run-da3metric-large-zero-config","status":"publish","type":"post","link":"https:\/\/www.mobevent.fr\/en\/2026\/07\/17\/run-da3metric-large-zero-config\/","title":{"rendered":"Run DA3METRIC-LARGE Zero Config"},"content":{"rendered":"<p><img decoding=\"async\" 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XRnLVEpq7CJFcSxbX4f\/B8hbyR+ZsDCtpjDFZbmyVPAIRj405EyGCgWVPvsV6UcSybxdRWh3rEJyxG0lTLQ2kVhLudhRQIBgtUCobC2xewgwahnFV8hpzCzYz0d\/WlxVGCexGYUbMJBuILPy6ELcwt8FIpiIU4CgAA5YjBQOPMmNTEpSAdqfdDzqODNTLCuKZUN5cvsg37urSW6SWGuuwmmuofzNTjTpmmS8xc86oleeqlZZHAuXsEr2h939Fo8vsB4m6lnvCQiVSk1tNoLAqT1aVOmr+q3WvK63PvpH7vbNak1ZDG\/MXQvPeYmgeKEH0xAZ60oTx7HRt2blUyi0QZi\/ctt7onXYg+0ECuYqsN1lXk5E7m9YY1YuA8S1Aml1MI+Vg77sMLmsdz4mER1FVoksaBaGX2AEqmnvUI3mdkUqqriFp34eEa1vxPh9+dZvgEtir5Jc1dJ37JAwKLzuPRNvqr1nCYPQ0bdxu2FTYn7+BP4O3OID\/cWpdI9X9w8h58+CrMINOsP\/sqggIcrQt09\/JtoxHskle3NoRiboNiKBLWSbqc\/uXaM1U8VKO0cOGBcjSdH44n5cQrnEr\/fq7wdN5VxW6XuHyKrkaKPnRMqp4TnajqKrbtqxwAJADKmWYnTaeejO\/KAgLDL0OT+DGtLXqcBrScOSYSYEZ9QvZzNowLuuzAaErNwTWkVDySYdRed7AKKoXYzK++ZJTliPrOVsAUA\/0caz\/\/OAAEenNdiMWk+K62bW3EY5q9vYdvQxAB7iKBhmwYAGhcdaWGd0OE1vzwwayrgZSSDqGkv32cwohBJuAAxmo2hNnmOfZOOOedppDegyTv94zcSSlQ0CIfOVisa0UpouwhibOIAMz+ofcYZWrB8hwF\/S6rX9ZUGBZ52VBbMvCtYSdhDjmnyXuj1QwXGJuaF6Hx+K6h+hs0pLAJwrmpW5ZX5b\/qks57yPxnZq9NFoeh0x4CC7KsSUIDk1JLSLvxhMJlVaLH0X61twRVaAYz0aJydCpvN\/x1PpbmBaZSrXaAlhvcxumvLqNS\/k+x4SJDcp9PJTSgKGUusEePHqcFIKu1WwWF\/78ZZFswtiFZ52C1\/kjLP+J5oHXFMae1OLKR0KGjcpflsjJeXhkkb+SVu\/fg+0mFmnXaMVucsagKtnZKekWbrcv1QHEfLnyLLrdM7Ia6A3gS8uUUVsAnGZOtNxbVrC81VfGH\/QWPye5nYawtOpMd7pLgiae9Fdglv9dqi6U\/5MWcVxSRWNiCnIzwzccUNpwVT2HPwKEwmqDBQLcpaISbo+Cm9blyWmBJ\/ffpQCf4uDM5Q9q4eKXKJTRVGrgdK53sUV9zdQBX8NGFXj+Ii5KfRMOAUQAF5XSWV227UAW7Rg3gP3PGNky76kIHc9f3wCiq6eoNllNRGNEvni9rrS\/k14F6XQz6QNj1TRpRaRaY9pvxRh18KKk1Gdu\/864qmbKStHcMLoid\/pUx30jqcjwc3C\/tXlzognX0VsZdBIkq7tEkVwLnW5\/fwQJ59q3Flrhcx\/s3ZNZ4tb\/\/c5F+1e+tT6LRdqzA8+gGZY1FEJHAZozCV1us48s49\/roXtkAe79\/vSRkkAYzd63J2zY8FDBvTi8mATkbtymZAZEt14SHTTBMmR1OyORvSy00Xx9C+ZbRlMzDoq8vqiA8TJFvECc9XJu9nvIm1\/95FOakor3AX5M0MI9IBEGdTuYWQAXmLwiTzGOLpCOJwlBslMqQ3HM\/REcdP3+0dSwTpIwnVenyiTH7yId7Uv8t5cXtkrpkbUHtqt94PjAAG4edt62gGJsbOwOxd8mnzQQA3kI2yCFdRZ3njkDUE5CSluYvsLsWO3qMaYahPGwTmjtphrsZNiE89lB8idQ0\/oeWspQ9L+LuSs6nKeTb\/jUQz9UkEzNkv8fp\/\/j0II0kEsGXiJLwYKOg5IWkQyIPWtXvrHEY4HIjuQSPqXO3Zy27r542u0dTCDNooadTfsqpokPq2c8EDcLIvwgCiF+uKS2FXkYU7pQ49DnvHG2t0vOtIpxFlu4wS\/Nk3LWuOos3UH8gowBx6hEfTV4L3Q5HGcZT8CsGmS8u4J2bhSXnY4jQi7bZH5q5TH7vL1EmLRzn9f7CDwa6GdimfV0JkpqrmTv0c1LYooqejV0lTI\/NVyHjT9ORjtLC+U167w462nuMVlSSUAv6hiW+\/tseNBnS9c27sx4PiTukyD9lVT2Fh7S20DoHaNPkn7zcjClHMD2Cq442ZdKUlydL2FIUjRkmDz521BhB6+g9z8EDh2RMdgptHBm91jDKu9VyNhjRGeJfwH9Si1dqv\/SO2A2UNo\/0vNt3vdOVdp2hkdP9exfhJD9SFETnQWAdMbI3\/b839nj9fRUa8fOPeErRal6Qlm2LXLQEakOHdUOFedEMBSBL55FzC\/3qOL5szJbHloHi9c8wcx1S1UeN1pPgc0CzmkLJNF\/6W\/WH3qLpoS0\/rAPv\/yUhjk+eXc8jtIzNWzu46IlGeEe2mO2JO\/Sn6WEPCo5OCHLj80aIhpGETqG1\/JuPE1m\/9II3fxnOk9uluI4K8mrtSSH7iDRgE5HGfMhJrJ8t\/KoY4mPXFVYqKAlrHKh1VF2PXyGCQ47n02dQCBa88L8XprcWm+xZCCmvGtU5fqs\/cTpbNg4RfTgsjyoZOj25wrHqtdZ19sQ2A9Fehi3LGghcmfH022mkxBbVg+WT6GQL7yHIZgwO8UI\/HfxLJ\/LGkb1KlNhk7NvM0zSOXluT9349yGmEgobuFlbucYkAcsrtn0qtfOJ31f9eFABTRaXdvxtA5ZPWWmUWSFFyDXs1OpIOOhaa5x51KJ4+rD8NIvuI1B7e1NExqZc7\/GfxNyNYbzIJgokrkK19o06k19SVI+Y85rd4F9oU6rVnnyHTfow+w8N6fySvovnAKsFpdNKCiM4+80nkR6+cPTur9BMi80bpSKO0EZh7WWLgPQBB8CwsfF4gW8x3f5o2HxxEo0lFZr6D6bX053OT0RyQk4+p\/7cEPTXrUVL64P\/f7e9dyNxqGQC+13In0pFRTEqD857TLntAlro9c8LthLibyroF2CLHOKr\/h4D77bkV0ggVk6Ip5rtBW3pTXu75IoC+8RF8yC2HMvlaB4viqsuls3\/MKdpA532bO7oZwY3PxlyfM\/x6ojOHnOsDaf6JG\/0jfddv7pcz2fmRYidAFEB1NAx\/mRdVQzxgNgXrV\/CRUIbBkoDifunXl7ktJQONC2v6l4Orq9gx1P6FZ8S\/jNS1M1ujlwrEx89+ln5RoZeBt9P3xEPckFZrxLfLPVFE4E9p7PrR29Wkcf27Ggim09vBppZ3T+LDjwlvTbz8zKzMUGEHfpkHcxk7ANXMO5LFOjFcqvxHGT2i1T7qpBIIiO0602k6ox8Hq5f5HmbVblG3zyqG5atwbidjfWhAsc6MAZeOI\/N4dtN9IgZrkqSNc96G3t1T+nJCfUIzEq7S17bTGQsiPtdnbRlwXZLwE9Bc5dze94T9nYys9OY+D1H5H3pnUWk1MfbNywUFsQBdSwsGcB5TWMPM\/9SH6YtO2Nu\/YFYeqTIQEVhhUAn8SRv7antj2oFgTY2v3ESYgBul2CPFx0bUXsd37XYBbyjbesKD5Zl\/Y6KfK403KbyC2xdoqNbGjHP2jiBdrkawzidtnc\/hqIwn41BmMNNS6XrrHP10pfvZoj0FFrLhZb0tC2CTQZoC5nzhZTIlVByhlYrpmOFm3gMN7+OLqYbmraUZnmPkYxBQqQUmzEdDUYeS9vEwnzPzHOg8\/\/y76HoZ2wuEHuPP0GYR6wNrf6s\/U4oGIfBfDaI1SgfXRIC3bAzgnj2FY1RAjOESfjNMZ5b9gW\/\/079p\/IA6Vi+c3G7C9ynE8AqzpCCkqf0qIqglOhq49pARR71Qh3+fb3dNIeXeBbZtooZ+tMaOETI+j9LmQaato5jIImNZ65ucHeu\/r1uz\/y1kzOM9zV5mUMvh37dfimaHEbSTXphGtZVKm30GcyZvt60jbP3gLQO1lENQe4UxMOVVI9M8IqAa5cT+o9L7030ZxH9okzQQbkaheRCVVkaWytgyKytLg2ZwKhuz6ylvn9I7xcEsW40dOAr8eCk\/CRDJoj49qNFsteEXFrPs1uPd9v6ciquDQu9Jl62ZiMzbk1Elr1iq8VgM\/mcwu1vYuzfko2l3FU6MCxXLWyDX\/22s9SkdxplrN\/dPlprCQ1reTN2e5DWYX60YLBKPXEL\/t2karUEmxUpEiy\/tBH8p2MtM55eq7c+HhOoXY1LHb0Qwd+DqOY6UZD0osX3sfzTyTDvPg9dy2Yv5LrOjdqBk5nYN7BktYdi84MmTHgEvzUqFh5+w+pm4eUAMkHFk5xFScow9+RiMQoer4YzWNRhVxuzJ4HrgJMg7W1D6lHb6r\/I8Ts2lFdR4sk2+1OV+GAuxNCHQg05Pn96XpOiufovRCHZrSsM1sDk5JvnHpUkgCXk2S7qFq8JrznlOvVYQUYLdIdWRS9o2EpZf5mOSvBp7N7sLshMW68jSHl23Of\/uDsvREa0Jv8g7GszEqubJxWs2lr2WnSp43Se3F16PRHfhbcmscXpYfB0b8UmX0u8otD1uHVOUWZBscCv\/4IIwSeIN1qz7xTBetgthDfNXBVct642P7VAy6mC5L7LCXY6RHVXLjMJbsQMz8fBqO74ZrRXY2GtaXfM5nDGahuYB\/9yDIBHdmw+QGK1hlyFbXn4rQ6DK+F5uvqQPAv5F\/tkzkFZr84Nl5fdK72ghW5ZOgPMDTdqX9\/VnRfMLJlxUrU7SeL3K6TrL1NfrOV39tdPq+FYo6SPu1HvnC6np0031KXrjsMuJyhWdwgE\/zBD\/YRpuBZBE03euuQHfmE+OGYxLklTP\/VIGNAffJe8gJ5L5eey5TQszP67tibqIssmN6+eMOakOCv9NXfa4Td2bpN8x7sR57tRRRTLf+QxyUJ2vJ7u6OPOLCj0tBKNY5KDi2PzfjT369lpxPF6Vq1PwbemegNXrGigN4MnXmWPgsygg5dvjrxVygy1LQJ7Dpp6Cj5nf21HdwJHnINa9V2Z8fN4WX9n963FpePezHFfVPFdKJ52q59mkK96cjPHk4Bi9eHDJU2RiZu2J9Xl6tW0GQytCUfqy3SN78kmSB0uedKlHWupdOHadIwLxKqqfS\/gSKj2y5vPTy24y\/1CPvbUdoOjl8+H8LbEchoUEbXKBOMkkGJJZ\/wTPkDLm0Sy0Mhch0GsJrsgOzmEpHCXeNE6SiIACis8ZzD8wPxXoNPtv17T8ZTufcty49EjH0kb7DXu3niiX6tlzb6wkkIC6UYGQ\/qG8U6HKfPaW6qmXHUESP4l+WDQyJoVGaX7\/sHKOOSiOQNJaeEChfdCok7+Px6zgyLvS02D6AImVe1lObLi5UUpJn5Ft6T1igG\/x2mLt0VHmY1nNhneBYjVgNI89kD1UOujsD2w9cXXASJCMNsl+nFZe+P1Zq3oA+2kFQ08l3s3AqFenR\/J7QBoX+KRFUAs1td+YPauCOXCCgaRpLLA\/WAD8ANpbfEcKEOcsreLL4DbiDR4OFQOEorN1MPviY+nm6eBpq4ZO+elpPzU721usJW2ex7LpvKj93LtYUTOlqDXNWmcznrwRsbAlldjSyMl5Fi3oor+0kdIheCyD0OMdTov1P5akS16SGiqH1OTqe+aWuGGqfpM2jBa5YZFzQFZvIozGIQzan47J3spb5akLB8UbFBfQUBjwrALTUneK10\/HCQ7Uqx861MWKQRpux6399JSr5bfwawwDTuMK338K5krj7ENPRB2wj1pHESo\/KMGruYxepAtTxjFnAp9qfSLZ1aokLK9GZY0LLBrQbHuMTRAD2Pez1T7RtfjAHC2x5dYvDRBKB91aoszbHWTQrNvsdBuRyVmApsHcCgyVV6MCiraT4XrMfMsb7S2bKy4WzHC0uDVuXD4ZHoSP7hPH9wbRbjIJF5FahhGajiFGXq6AJf6TAQfUFOy+PkS8N+VNhyNDXalmrCGAh8P1M04fi\/IoMNeP7mys4zLAoa67Ua2eun4ZuGUWUcoioCafQusYm2\/oe7BiwPXSxUQ3MD1RPRVhKdp2e0\/\/opsfV2AqzHR550hgR2vEm2Pit18AncwiuL0V988Q0Bn13DEq\/CcmAY6SAu6nVonpsjnZjeFQXTp6KVeVpBVjfYIFpp\/fHBuk89ABuEmcMXV+ZGvYhlSnBkOmKWPAoGiaPNArnNEbSATBikXqdyUfO1mc8pRAYYfcdJzc\/kmLpHZU3detUjEsmxo4dFDqwYSesa5z3pxcW8Jm6ggCAPm7Yesu6es3dr67OLD0AEQFDCgphDoZGUXTOF+ZZR3uBSu0W2Yi3Ggwk6ZXRvk00mNH7Jq+x3IajYgZrUHARRUwYoMea6V\/+CRgxGCb4Co6MzSwf81wPoPr\/Q5NuVhaZY0Mrww6Bl6FvjNEoDj7daiCqrspp57TK\/iL6VRJDU3h9btsOd8KYtq0L8XDePP\/0BCQZZetkODa2MR3UMMV7PmaTiaGGCJKcOfHN97KazS9V\/igcb0\/HcpmgRKSE40cLLnHKuamWyRo3KMZdJN\/IbL17GMUL8AIboWDzu6I5beAGNYET8sqleaX+pXSLN8Sy7eMpihFVZpPu8IZcnlWGp4o17m5g8T80yG4GxjlKYhO0MaHgEw78h\/72DvBimlkGxmQP4q0XpOy4gf6xyvGn2YzgONGya+ED1J+TbxZjsxv2emlGeAaNORYfOi6rXlDAYdcJpnBOpCKCEeJC5uIoK2d7bqY4wC9OxdOQRJwQK26nPrHVxL3M2C\/b1ty3U2HfQ+96fN9fCzOEghe1x2jY3zUGSs0Mlv1wD77yqHiK2DIyWCjcKkhFGXYFEO\/k6FRKIm82BEb2wP9jBZ9yNq3WtbkZEPRgd9DqvTPS1eZHa8C8vO6L\/YfevquyuyzlffsaP9JTby2Bh5zwSavyEZWQo5Xx8Ue8xcHFWQY+ZI48VJpXhAxpKNjG+wP3hjqLgwBLFqRggC42jA6IAzZa8NxW03p7VaKILG0nHE\/PR3tbMytJoGYsWOSTDpkQdB2LifzklhG2Aa8LXbObWkhJx2uaZvIqn+xF8drUSQJmkAnw6nNATsfyU5W1+rnTbIpnlv\/39uCtECFKNbPBJ1XR4GYjOZAjkxd5YhMCxNv4nMdPIgINBfEEWsBRF6RhPke\/9d4OIQPSe0pLmXW92fKs8OPvT8yrOwP+cOJgWas28rtZzpx\/kpNf8ie1Y0yGkF99tp\/4iODqydOoBJRFLIr0nv5Ro07QRGer+EcOg4EVpsdFj8txtKv+ReiGYXjITQ\/zYJerFgIN9BtWvJLvVojaYuiLezGJBBsNihRcenCN2+qPF7Wa1LF3UVKbgyuEwcUvM8lxYUO0FOGl+hck57pTaOpnbsxKOSRrX53lXZ4NgMl6Q9qcq1rx9sXkH8oiX7g8YtslIZDYL6cVi76f5RVsumtFsJjsFxVAOUe0b5orYaORSSmWvJba4E+TKfaZB1Ne2XVZEcOU3q6z66QHlJUgjeo+vmIOb80cuOU2gkzJLHVR5v+ByDPCaxBYRoYdmunEplxOa35HhBRWueW4RRmEzHaiHt9ylkqYYhiugeBvtzezS4AAEfhDUAAXgBQBlgpPZIEad+YkXGKSds\/Yg+Eg\/Th5wti1odo4GZo11tpvlFEHLFP6Daydc+Xg9I3hHb4bGwdZ\/Nw9rWvmrfyWfuq31lM0+T4d7BAi+46TbHlWqadF5\/5jHHewX92LEBZX1UAl8rMG0oPyrZ7oEuFmY75+rUAcnHLfSZnkD1WugEvgUB0JQvBGotGgQ8j++jZjoWwXtc4t34kU+HLyyK5CC\/aDJ81tpr4eZlDGji\/gnQZ2rRKgBdUp6qXjL1Ylgh8bGBzjwGelFA2C+LAMzMpE2FPiZQ0U\/ZPkJNR8351Svm8kO1CBNaiWJXnOAGXY7huxB2ddot6BNnEj8PO0YbFKY\/fpSAlEA5ROup6nBiZCSOsIUTIC5oHgl7FoEOB37HSQUWVsIiUL\/HvJj9\/NMoHROSHdZt8oyN0Iyc7xQOxBlSORYgn8pruR5LSNhG\/L9ze8fdbUgd55hCKgJPqtW4HEJQXMzvOboUnFh438kEXXvmcm\/WUpI2waul9lIG8d9Ug2Z1AenLyfyFYeWEn1jwJ3\/nkudcm+jB4oAxxGujRZAkt4ZYzV2WasB\/5GKl\/OzyYq68HBlkokDaiYKgpeBrPcwXDRHrWuJdYQkLiLg6ZS2a8zPgSt4nETB2VHF2H\/5VBRrYkNVcH4fXgz7gFwYOdadgPihqdY6ow704jhftkOCCzF235lZx\/HB4NrFpzqNEJ+CXtdvHVe\/k3mdlR9ZtEKpaG+\/SUsexiuFQNSe9CdFkI6NbJbwSdQA\/yk4jqKweUGd6sub80hfDDd+mHIrrXRm1KzvCocXURGxDAO5Mnm5RnqWBUo8tkHPfNcOKVszPiJMpNYHn1zCpGBeapNR4PJNqyUny9chEVaPJyvLQkxO9JUo3j3ZPoakXs3RQ\/uSYqh\/6p6U2Lahk6IFcRvdiTWswe5YhIIWsTWD3XHRlUgAClrYzDiYRNvhe2qoYIKvPhX1zX7E799wRfQGeiFsgygPyIGoP5X7NhPj7grVTthvksONOE2P9DQAjLx6y5I+fH7YSFbi1Gh+Xx5QT6OnCr4xhTGY73EEV9z4yv\/u2F\/1wI0XMw3YTUHiSMWb4EGHBInefHLDJB8GhAZ082KkNKOum1ESMYld2mQM0VaDxqHbkTHunwOBwt98dMIugmNK574oh2XLnIKP++7ONg2Qi+dPYJH5gWdkpHbPiL32dkecMm\/GixmrJBBgyyiq60hKpHaqiO4HmXmwTlSD+0MF\/bxUTROKb+EghkHDUwq3sl4tUkahORUx91yTV94lMkn8Futzx63ZA7E5dNo4n9rI2K5vf47vGB9RITFxqXJN5DaXe1exUq5JjBdS\/BVPvPiwWZ8rIb8X0hM3bG\/LSCLtu56fwgHxRRqJl7CgfmutzAggyWEpv9aU8rniryAGgHbpvlJppy\/lBsSxS4YoDWcOIVNltRNmgxGzIunf+2reBNcFlDzPNRWActPuVjUIMSOdGsT+dBM2s0HGsoyK5tVs5D8UL2cRrXnQiE3STqfsFaK\/s7KfkoW2vGjcx16ogW3h6ZAlJ4LIbtGG\/0C2KsqpGy8mKMLcJhtPz5WwsEBVSiqLD7MrKchqS+1jZTbiZ2rHXWq4iPhFilVLguQvMlJlCZ9xIXr1w\/6WWf1Aid6LmbVkoILcblSP25z456qYVffVe8dzbJcDK1oaDN\/J3K6\/jP4lcbeA309EReHplvdHq06LbOkGcl8ipkzEUzw3GTPHl\/P2HB2o0Pmmb5drIGA\/COTbL1z8smMp9Q2RwLvHpi68m950vDiAgNxkzCui+BHC30aTNjge4iCI5KCt7JcSJ9sYQjweHleU98Odh36YUAHLkx7FvfEJTafMHo5IfNAqVuEqHiXLQX3KoJMPD9z5sf2TJCdzO6sK7RFZiEfTGEesaa6uziXXs7OKTD1fhxQNWU75Rxmmp6BbdgDJkhGpseM5IkkRvhDEIrgEoaMk\/AtiilOwC55jq\/mxVOkkGUnC4cRUBxXVdvFwJ8mo7b3rH7ZH9inVs7FZPf17EOjnoroRBbtdWbHVztNyvgzrN+s4GHvPEH7DOzPRe8nOAp3JDQkKV21UDvpgH\/wQwK\/75dUBK8loY4k+QqnIcgn4flVy+sltoJJCMUh3oTY0YBj5Oj5zHHesgP4CccT3GN09FQa5JsjMxaOA9BMQUaOGrGxtxzhqOjMRDekEutv22lqVee5y30\/xPO3HExzPZT0aT2oTpx+8eTFyv98PENPtAW64Um0Sblqsz1Ak+5pwM3Twu38dRQPN49PAhVUpOo0C+EvjYFORbgIN9Avh9eowWS2g3wUxrPAgfjp4YstqQ4Gbve29dmneZ643PaQM9akhPvMr2omqHqQeqLO0AvwRi3tBu+OH0AYbX05BcBZ1K295FiBxBXHy743lvoU256AexRSJTccGgnEWS3ONun0VzQrssgjP0UXK5I\/e4+utt6w3ixIYMt\/8eU6Z6+5VpJmuR1OQmfgb4EJ+TZCe8dWbSQMu5ZBS7LD9ZgfkhRx4XltyaAiFwGjpIXk0d8UTSVpozPy5CqkpVZ73iIydmkRVbNGMtT2ieb9yrzHhGpAeSY8VkvAW2T4O02brae3qyKDWmtsohQ5G2WKjTY1bjwvgygpNGJh7gF\/uREaS5Ajxt2ur1LCjJ+jPzy3KPWy6F5Piic6IPd8MvZayP5LvAqdLPyaELCOTY3sJlmd1fOO9hAG4auquHQnZ9V0voMwEpZcmBLz2Ad2abDDcOtbL9OTCrbLs89bLTsbnFMRsmMUTFlNDK3KmZuottabnjUzZ+cxParRdxA+5J7UZux\/S7Ezh7x7V8zUvtipmCOtyWrEUiZmAiko\/v6evMy11jejJtlJV5zF+Dfk5DZn64KhLdKlFq9keDtIA4DUhrWFGOk9Hlnwgi0P2H9PIHe63682xKXHhIkT98us2WWegEesaqEPwcP+bNeUZ0SS6IDwWazm7jH5tddjknl\/3glmChtVDoBKh9f2uMFT0XkuWdn9OPFmZV4zXygUAzlkGELmitD8rRjQnOpc5SObC5SZu7hXdQKUdHLSJxmwd4ry7le0J083VrV3nv8kU\/XofT\/d5R7XUbTSS+PbKQRvd2PqpVuJwpJll7VW7Z3KYo0VrtXvS5d8CtZkdZghOp8apdF7cuHMHJ7WD7c0W\/96InJ1+9vPNk74B1VbNE58hv+1UA3OhBgPjyyvLnzCBn0radbLGnRLTClddcuQmZImjysqnu8l5pZNrvUkQbmotoh+TZgSyLJ7vxopVCy9usd2BT8pncqFb5OYR18E5ANe9YpBnl3ZU8+NA83k\/SIZcn3m5h+ltmde9df7t8sz7Bl6cAotK+1H\/vku8vJeFndJ5GuczP\/+75Kyl2cxWnnENLawzHw5oTefGB24D6CZ9zi6dedO5gDvDFmu6D0TVu3Dh4Z28Y3n4nq9hSHscdozv8lnbVr9Iee50+SzGNVqBel30FLsXK3S+gFsiLXMe9r7evfZXCZbKv43B0RfK3I5Jdc7oTZbQcGqPOGTOro+\/ngER38exfddeoK8uhl4hVg8zDXi3SCzNFUjIAG3wSjN015WM0vpJyWqH3L933PRXURVJXsuOhJqZMiJpOWFeu4D9MQmufi0WF+lFNjgWqAbyiDgmVPWBBnGA+tCfINh8OR9ZkNsCGJrxEce7QzTLd2UXNo8R8cHul5NqaBLq+xpigtr48Lml+aDi6s5E6S+bx2M50pGrbWQk90wt\/K2ky53pLhtaloPuaBr6TcukFdD\/F0zt3hGZqlof\/xC4w3boUwaxZaFa4lpmflpNEYY+rUy\/x1jao\/WeJC1Mk501tJBGBeGiPg2HwsHRFLU6qEZoxdH+HWxPiJ9bopfHfEiuAI1+fhFEPT2xwOitFdMVsjGMcGcD+gG87G\/vBYfKASg6wdGd8fmBOam53Pjbb7erDdqu6hzZAknM9FEJCtcw23e6HrqDTGolFnMYi8OmggNpfqDMAumnKhZbhBDuHq1xPCREjgYvMdrM6jpvnB+m2DFktlTPJdnmtX1FWmCpbySQOdrGy5qf09CuVMRTrBosXpTiPv7rVZBnOdkOSWFY+3PnNNgdn1dx8tnPRwqCajypLwYbtMHfgZiauGODwIL\/HqG8Fky5zMQemDn0sjs8LTMfR9ktkteulOnFNsUZbrIksRYJfk7Pfx6Mc7WD\/mw8ZXv+zG653+ZeJuxtgz\/doD5\/zBUBMxEWQNNhkB3Cx\/3A+iCl\/IYDwvmFEq2KnNeyLMTiplCvO36DTBF8havHHyNE1x\/UIfXlM\/Ywmq9\/OmXzqFWtOUCU0QEkexudBjBzQIKxPj9GZjNvVuX8P+xQ5B0EfGbTvkKHaosC6bJ+9c7\/5D\/KFrnr3PU5SIkD5Q7Y+ZpVumKy5kXCHCVs2Jac6ZO+sBVB8n3aXDG\/QrIWtX1dwMdG6tCfYeEDa4Rn2KniIDyDjjhm7kw71zPdB2xalwvwT2zD7pcPd1drrcRGWqLsekcrdaxGk3RmgwIph1PCBhE+nodlhBiscZih6OCXhFtMyw86vhe82v3MeFn51Z6sK9mkmEFpQOppWLvU3Pmn8Mc2fSjGFqsKi7PZ1UnpXl5VYJYW8OTcBPOy+uiyvC+yA\/ljwfAgvl1VZ8hBBS9scsRaDXWAYTq3UTq504zkAIXsG2cbXi3yqY9txtnWDYHfjvVG\/UTPFgEKVmMYYcZ+AyumW2h0ysxTKpT2eebdBrYpYTAm9+lPVH+Iu0lfpT4gqNbq6zQO0ZC0p313wAaIl9snr58weBddqMrul4Xn7l\/gvB2ewsFmWMSeJ4rJATeSgq1hESYkPp0YBqyT6zdKEtU+HVDvX9A5xZY5Zzj3vDTsVgo8fIrklHBIx0N\/AcmmHQeTVSWa5su6+d0nfrfgmNyQKV2cU4tIsh6Y0F5XJFzauoC4jJ0F8FOZvEWiH3T\/UJEJE5KmAFA6zM82eUZbjRW9tGWjwGsJEmgQXPzdEbFm3pUofsUntpis6cfYndNVanW+uT9TbjaaZSzX60eTp8dCzrPl8uT4lMog39ikM\/Az5k+sidLqIz9XOEZh7cUjwDiXuvc91fxkZksReFkCx9\/kz1Jo90+u\/pU+8C1BwTw38DxpaWW5MgG0tjpokARCuChhxLfhVh7DPrMTPpIJWVK\/HzWz60GmhfEJsLjz1\/Nk\/JBRmNrsjjMNqrF8DCRmstxG+C1jd4gbe36V7x5VrlV85aWmkX2oZ2o1e5rXlz2IfG8umGEl0sZGueGWlH+uxHeIW8T+RaBYvKn9sqk1hisE\/CABjYZhvw35vK\/qauqjFw\/5G49XzubfdHY1dz1r7wQJDtg2ISTR9vRtrNYXgNXCAxEI9GF3ibuysbqZ2z7Wh1lRcw7vD5ABa8+GhEXIln99fzpH2+Dql1YdqK1GUh8WrTmcyI\/dkCz3RcNqXZ10VwbEIrLpm\/IV8XfiWVmvLWLWFrLxfAcH2fro0btt3OYocTreEIEqShRpEE3At7hSfu+VtY\/K4uK9fm+xJ8LDMR2MB0Lld50pe7g\/mswrUQkLU4Dvz+6kq7zM41iNOiIac\/ms4e89gNAFAKyUuzAok6DMCPCErOdefC+4zbzTTGtJgWKGosZga3ZfkrckWaxZLC9HCUskkSdDmiwWe3dvYudprmVTefXC1B2MpRGYatCvh2hIIkShsD56LLim\/qDHBiIc3VhtoR+DHdfz1VLDqAkkp5TMYvV3IF6Yc3tksixTSfhO4tTsPJXxXYjnogwtLZkJgjBo8NSqNwPmK6UWvF0gYGtZG+M2q4TeCXQTfAqUzeR0Az3QIaId24jvHUKYVbZ+Nry4A4nwhcZai4f9lZy8bt9Q0AG+UtBxc6R3SdnNJpeU3riSHnS\/HUhxQSKzgDxnDtR3r8dYXE0NQGcaBhXZn+VgfWc06HWG3wcCjjmSK+aIBWSA3ubDKXH+a8iZO4AdPlpiTWQB6DqWecLvXxOwdvmnRy3rAGWi2SHWJU6puZ9C50Nl4eimagAH9IRZOENlgIi9zoDAxsW801ywQdOGuL1lBZZu+PBRDdH8uVPjY2Vt4M\/HhYJE1JiRnma1CBXZglHNxR\/5x7XAJfzhVlrCfClIbZm6xjc3CQ+TYj2Tnj540ZDqxTvurvmGtbCgL6nmlu666+38rC6W\/T6D2iSPdKB+BZn0ACVdRzQ6PON5dCDmaAgdCqrDibyaDPlidEg909dF72IN2TJQjlndNsbDpaWa6N4\/W1O6NNjIGc9fHBHBWJA++HXPdN9u\/4RVHW5wwGYVv+JZ88N6YHbZpscDt5vCqUcJayd6B2C40fuIkDt\/CMCDdPFr\/WBNPdCXr77d6aiiwUxKN4Gy85Mxi7j0vL9CHm+VmOcF09IMQfYw9ZSYoyKZNn3riuH02XQWNAKEPdxy1r44qmwogWJCJz9sbjEVAw8wmbtaMS2JpGUPniYgGY55CjRzq6HNIhJFo0dMfrg9bUHJE3dmPopnpGsKx7SZ1wBaas45H+df2Zs8emzlXuVE40STEaoFKPtdERvx4KePNWegc39A4htsBdEjjRAx1NhVSUqM+DMoZfPnTwcvfcrVAAeo1HfeQycBalHystTZgkH4kszaZKYzzS0CtMLi6Wk+CtkrhriKoSYf3qHB3wk+itJsS8uhYHjUVs1kaJbtsQL3NX7APfG0Ghmo80VJ\/A254zRnzaUPc7fudWWK1QYe+pGUsrx664SnpGy9ImaRD\/7\/jKYCBMSlA8ma+TUkuieEbrPSJIMK4U8+s31\/THbdbcBS2C7O84zZ2T\/OmeHs+Yfn3iNBp4HeXk0uTacipJYwKP1XWgBuQl\/21Dygok\/5PB1nSp298ybftzPlosoa\/veIYdJZ0x9Kv7ZbOgVxEeF2eStFKuTx9KmzafYMvfXtfLVsAvwn6NyGzL0xoRKPK3Fcom9NocZ6WA3HQOKloSBt3Z56zDEAJBpMjNiLG32ZS1hws0NAJwCdGS454eOj76vZkngX1rSYeuau4Kl01JlTDtWgMwsHIMozl\/0BYdE452oOfnLPu6JIJd+Wpsu1BTokG4uZM6bmC7TLOD9C1u9LQOin3uCac62fcyG34\/s2QvB5UGiv5FwnvNeNn+WMVj4Lgew82KEJhOlXkdnw+LIzDzbP+DeWflBcpS8SL1gvm8nma7D55JFiWMm0dyqNFjzHV7MMlSD7mXoEFpfuvXUw3yR48Z\/AozaqvlPnpwsUbNp7BS1ju2XyYG0aop5ayODR5LnTX22ewyhpeLvI2pvUmCMAMNd+qY0URv6qhVQaf\/9Y+pUK0lxcV6ujCQn1CxmKPBEBr6vzJ5XIlTMZTj+dh3Lm19zaQMpmsnz87t2+K4w9ZPptqKejB0vJfKC8lW80XvXaN1p5b8\/ybkrSl3sqSHvmTeMZWrPmYChmMTJLQ2fVXKgmMP4iw1QvV4va2SgPzzTcpiL19VKCItXunZiQvMdNceTdOnsRofPdcjUVrTFyXDmSYGB4hJs6YXE4bw5ywSj6t7ZpslN4voJfZQEjWCE0akVSZ04IK5DU7ZtvJSd38mW3LAG4WO2X87RbD0l8ZTuUSdk7DoiBhvV+B96v9QeWb\/qDyoqHFWqQ52BRzeoPoO56s6WjgfxMjrKq4gBQ59V6Zl0mliwQLESSDSEA2Q2b6MA6YPvzpPUEFrF8Ruk7e+eB0mBDMTk5z73ntyQQOoG76n3SdfEzNbG5x4IVQRRk8Wpr\/fsPhi15Txlh68f8VJKsKksD8CTHh0O\/jnEsrkdbh3mxbXLFmLlc84qhGshh1axF6fj9Ob6RRzn2UMnxmLzDiYP459E7HFx0+3OuN4++QCFEQEnmz3gDMLqyfrDQm2XHeRexVaMTT2DVov8++VeLMoEKB4EXQwNp\/YLQ\/2lrN976dD373Cijsxm32uH6\/5wrvBCC\/pWXZVky0tTu24B0IqwLrXDGttyWhvdHuid2CijXWip3\/HRb6mbohu2f3QckgARY\/IE5Q+9Xon6QbDZtHSgnkzw5xcu0PYBdNpAiOlVhsOdn7lcYIbZ9gQ2sIWi2hCjbDILIOd5BFYIe+d3Nj9o4sfsJ+2R5bIAh7nVT4La+ByU7k+Aup\/s930cs1swCc5un9tXLPB\/KZzH60u0\/lK7oIVHGhuKemNVupU8JRe8em74qHZZ7kUZIClcjtNOHfcyS26jjMY7jqeCW8KXjQw+\/CDwtD2TyrVq2I73MduVlfVOSUGlK7CxU4Qq4HoBa4TExGuIeuKAxv0jKn1H7vcua2vfYOiuWRv1zadeCsQgZrK2etPZlRQWbWFtAa5FbgIEmdzqlN6xMr7006NcnLKtDefHoQukxnlOL5DDpIW83u2PKW1jdsn+AH8go3c204Jamtf3D99wNi8fexB9VeW1tCPJ0g7JcxfFGOnennI08jSo\/5tClS9uHlQYo3KDhzTaRDrcPo9CvXnPqY\/kmVJ2Xz7KH0pH\/qloanFihELYeTlKnFuQVzCATDqDbFkRCGAF1Lam4BPub5nuzXVlU9BtdiiKioiW+qpAEMe4fYB9JMMg\/hGhvlVX8BWHSpIRSEkmsul3TkleUbMzg6\/ZdVjsuuBg9grPissyoyzkiLR5bdKAfQvFgsvmZ8jrjZT\/iQr1ggvF5NAu09WjpKxA1ABIPzNiA6yI1+Gi2XqXsHXUcEtchDGsH0iNFdZw40WUf\/N3rO+aK1CAgAi56uAAg+GdmxCJfRhqPntVBUjjpWGjQ9lZ0\/hiaHzqFdXG2U3ntfaFS82vS6Gg8zA+2U\/tmg+OyLZYN+JpIcjB3WBc1udTigvypQ13CXvjNOfZenIh+ZFRwSX4U2+lUxuoNreyNH6gat6CMsFDEdQUerHqEmfxTSP\/nZk8O4nXyKNrPRCrz2h7f5NmoGlya7zFCYvsayTd\/nyFTiAlNaHxgUQfbzyFbBP8I5OzOmqnHGDSzYlW7+t8L+hZtKKLt3EfcgQ1cfXpuT2N0tI9pvTYIfgoU28XWAkVf3k5N72WKYqLHoDof9JJ6JwP\/nmtGz3VSqu5hOq0F5CH0GVYRJ9BBG4+OD3rWc3RnfSTM+JlZnzlUO+eBGDHTNXerdnRdgEOW6NFAumBHw7Wx+JnptKNfsWxm7oKHAEOL5n\/NRyPkxjeUj9SS3r0Yq\/wV4F+SkfFsb4weGyqADsJfTiA+QW1lPPq2MIh1K8tQs5Fn4WQVcvIx75G7QkKFhDLuuRUri4ugzrWstGhlXqKWscw5s1VW4VQVeCzaZrfKjunt0N\/JH9zWuu2MwSE2e8Er6JXYZqkXoHVM2RZW1IwtJN7WiOtYce3vwg3LGo6Dtuk7Wni7c\/MS8PXtfeL6jbrzzeZlNlX8YNmpmvkDoXBWZkPscAQpKJfTayf8T6jXPaee6pde6fa3XZxR1I\/Bkd+BPmw8kk8avBrzOF9RHnzY7DCHLB5XWW3La4QR723SlJoQDyC2xA93FX4Ake\/NpC8o2UiYDqv65owrQzVUKZjJbOMLRemPsOyWuz1dkvBnJMx\/DTSDva3ZIwiva6qO5C8HUF2VYQBYMMr8\/V8J+Rww\/uSY8snLxnh6fWAPanNSWLyyjEuWCQORazfSr8DRq7Xw4yGdE59V9etCLUhEadLzr0FrxN67o5KOysXUn+KAt5D4ZDxm7f2SNkFvbnhLbebPHkAqQkqTy7doyQu1MlVmNXdqnxAUc61CAbtRXkbDTlZd2TdwwJLVlo1v0eHNkJSzJyNyxE\/ROFZ1R\/1+SqEvGqegdD0sOIU+TkYP6uJSnLU9m8LrzwrlPy41bd6kGRyv1DMKU2KC3slKUfGk8lki1oUWidz6fU9OVoqtGUwAxk\/uAoX+jJ+CC2Ta7N7KBuEBCGFnzzS8dDboBQYcN+E7oSmZY8BaYGY5Hx9Dmu2VJBb7HbWOXWpNhGhztr3aGMYxjJi+j5Uja4lvqV7gNdd6KX++wkKpxy0tDBxuZpeQHD9mKVuGRFYpKY1A4h0ilKSigms6k\/JxWvoufeQ6W9Eul4xTkbyUXdSn9jnY1mwVLmsE9ER73XlIKbnGGsq5DCw0gUoY1YUSJuycRWCsVgRWVlUZCFU9UpvJNlR8\/ZtqLbWeu0c7uzt9DD3qRv7ZMqaQhQTX2+HAy\/S8mStRfZmEqUJ4H4SWL+C4rG62kQhKGzZid76raKdE8RmhaXZxA77BQpG3roUXKkhqIriz7yFs99jNPq2p8ChXTdMV\/ZSQ3\/d7xD88eby9m2VLsLSJh8qYax3vy17NA\/n8BNdfwKIIsf022ICK4fV4yiC067YvcdnJ2QgwCPTaJW0hq5bdcsKAUZcTr3E\/WqW\/iniLkJTowdBdTROHxck371nhMli3Pzr0nXgE4HVDiJdzcPX0iKnLpVV5k9c6VxpS2h9yx3cdnJEM4aZNlS5hcp0rZ4A7kZW9sOSPCAEV7PCduyUjSfHSQJWKCcHLLVU1IO8VXB1etrJfasxWF7iwVSIhnA3r5q2IW7r1Cg5VsPg9IHKWw7wSWIZPEyC+JCjeOF5gJHwXQO1V837EE5\/h8Oi+fxyDL4YQ3MESCBDlzmtX\/yqrIqOhpXflwjMPgC5H576QEy261a4FsMw+xwLVKT5agygCTa1swEFe1Ch8mTVEXq+taBYeTTS2isKW7ilQHMr35Hfjb8OuPlMl8slV\/+DW\/1w4HrMYzqRGd+ZMnm2M9AIwNY0hWNOqL+pnzlBgwZBjq\/qQPwrU5WoTAms6Dze+YZh8FZljnQ3ncjCP9pWOG1iT4seu5AEkdEGynraX0q4TQf6OjNwQnNaq9yooev6xrB4zfcJaUe7nXUrxFcN7BTc5unvh0me\/qTFI8hBT5RblKC\/Q4VXb359EEH075nZ1lH+xqwGhIDKhsBGPpp0SZvgsz1bKb7uqYDm8zetfem0jVI+XP3bjvy7aPpde7GaTHTTTQqj10enw9BQGGFn3mc8drSp5Beu9Yjk2AjKvM+RxrOr5lP6U7EjG2zVmGXdoDPF6K9a3uCD105TWVIFvnse1a9kt0ooLjwDS7gO\/ns0mXUwKcyZejDiNOujiOzRcknGPC9ybuGIwYDJRS092SytMpWGE2EzPsOEIWaKIK1+KAnVKVePDuf3A57iu7LAf5WY4c0aRWBnQVUw7RGU5p8vMn71h8XEuuT93pJ4eHF0UJySxkVWxvAHOmm9uwv6f\/qd\/KgOyqzfzW4bUQO2dzlSfKmVfkDYlZ1+3cSoXHaFz2LV3gO4N\/F1Nv+OwBqDaKlw8PUYO2hwJE98fzk51R\/JI9KmwZ2jHcdymXN1DueU0zisurrCRUOE45wx9s57n011rxYFI3sYazLZpr80oK4whdGaYin3g9ngVMp+qdWEPK5CkBSJvsKF18\/UKVMopyf+uMTuRijg0M53h9MIMVKLLJKc33qTrXPx+cPxWzkPMTjRimg3ExscYuUmYsViUpuubj83AIifwNKmRApxjsFVOdVlcLS+k6XZppMwFigZ++NLdK4HTE+55ugzIjY3VJ11e5k9HVj0bewkFA5O+awWT58teumMhLrSAPQrefv3xVYPMNXPvG5wol4TSSyfW8eKOIJVozLsVbN9rwPvKPHddGmAO6MHsxWCm09y2hZ6W9UD7\/19KssSbVQ4jru8IGBA83pD93MqtJNtx8tkHuLNA1jeZk7VzgU0HzC21YswoSIkQcv7IF5J9afG+2neFQhNuWiE2WeEypVAIiwj7W0fWhbRYJmQ7q0yet5ZNleNykVx3W0kTZogw7cWRMiz+nrOo\/b3tzcSTl9N2Km0rT\/HAUebcLxKLObojB94S2pUPldyP5JMsYe9aId1lIfEViOTv90BBcv7uVDLEGHWRLVkqTSwTSCdFrEjR8UEH0nzmI8XE5y7NvB3RIGcoYbiKJDaXsf7WykqO3DqAMHa4znUqaRl418qDUKQZ0Omv9h530prT1Tbn+nUKcW5Fbtf0REPuJhA1MGDwrLaqPZULq28Bt8gEi4u374jhTdt6y3MnHGK6VUzwjmeVKj574L2pdbmB5dX0WHRG3IhHnGj3PveBlCpPO5DrWf+XqLeRk\/S6XdpToPfSMjQ9dPbhIRro9t902DSpZ6EVv4LPoFkpX3z2u7MH+7chx1\/EIKuFH9078bbg4sZ7PL\/oPftacMvI+9zLPWtzUpfwABIRgOpMhGyq11+c5Hi+10zgwWbX6Beme6PJnDag8\/fUErgwxNjerKhIE0ih+njJkNZ\/d+1926gawq6HcurOMjR6c1L3fQ9GkC0+8gfnlQsW7UNQsXlGFvLiXxn5C+OvoPuFcszIFfa05IVOJAcToFZH5u0KgggqpiSWGCK6fajcTGCHGK4rliIebsojqjOFILjiaDhKF4zxLAEFSoMUlUn8b5OmjrIlSCgbIvJbgOtJ5NGpMMAZv8JIMN0FPzWhdm15mFMlDt8W7ofoXlseuUWtsF0EL2ZXI0zOg0GIJx\/chVN9ZxLMbjQ+Q31eqO3cyn1dr+3L3ETO\/6xWxX7CebjTjgXb4dO\/xrV7bURRYbz+l7t3W4PW8fbnc805g93VRBVmlDDR4Wht9pT+0\/ZNUNEmOTu0Gn6mli3xTamsWPlb3c5Abu4arV4dt8Rp2Oim9Hrb2xvUwFhMz1KNdzqx5cq+I+Kf0qm4xJXzzmgRgl5AjX+PYlRfOkO6itKCQFQpcTdcRkWSvzFEwttqkERCdNAYr6Y00+kkAOCcl1X4B4lfvChd\/u7zh\/Mvo\/BYHGw3tvLAsdeD5P0xH00vNXVJlvh+uCYmGDkWpY629bi1ugKISZ\/fgwJcUAQIID1egKb1L\/X3n8MiS3UZrkrZ\/qm4ArBPCsYMJg4FDWdDVYIH3fHefdRzHY\/gXQ1HBDoAw\/S9gfO41bOjLldhE7H4geo0K3W9FO4M0tmNea91+WVozU++hHZlJ8lWjpHk8E4LucZjRDZYcuI00z37WB3KI5ekbv+AhVRXlMvDyHTxb2NtlccfwocJYys2CVILETgTIL6VKq0\/mx4yBBOyQzowbbim1pZFlbL0SWv8AH+e49mVYvgM1SJ3xmtrA2wujyq4FxMPUklLiuMUXH9fFdz1M42hVSo2EEdIi2H5U5VYZXCaYdvAAG9aToe3MeqobR6bLaIJ2qtHe1bcBYgJSvxgI+PP3hNw6qPeigPkOf7jx0yB4lXX65jsxjxl91Sy7jOjNhFgqDK4AnG1zHbB2iUX9SVpgVVmL5GrWru448f++TkIBjWCUJk3kAqw6TwZ3CYNjtga+SqFswA2Orz9PcV2fd3NYFqJWqeY+5o3WFPHzO8okXriS6oDpNw4rEcxsROEzxA847Cnr9A1K3fR5pawZlzM4iyInJdvbMzZzI8nKnPtc3zNoYGsFDrc9T4xdiXOBNu5jZ\/5nyGmCJxSA8OyCsC2vfjenwDlm0q\/DF26XjvZGAR8eQMyNlazU4Bm0nlwPBpy0a+iZWSCYkLaXnfRpqb+1WFhezasFgf1fOfEfKec+GwoVGicHkO0JZITGta1ZAWT8BMUChjZZPAM8lps4k2TZuWt3xyr5noMlZRS6h1DNpDEQoFPdUNMY+p1j8q1Yx\/dYXyISGnFEDKlpZGyMc4NoDlvFt\/76Fb2A+IW+GG+yon0RnsjubsAarsqf2E+hN50gTL3jIli2qeBsNqgQ3ngb0RThg738qqurRC+PzcN7EWpJ6FAgLtv3Oh2jhocS73LvU1yERGDTdxP8eOu8n6iEjxeUCf\/V2Hbd\/XSGgJFts1HTV+1+wqZuvaOAogOzJJP4K334YAfSwdxu86ZJnAfKGg1yenplkpqfTdpQz+nkutaZrR+RINm8Rsnntomg3Hb73PQw00K+9MqE54CEdSYQJm4KdqfQyznFC4Hub6462BhX6QY92hEgUrud6XKW+B+exBsBt6M9mbIzsaP0wChAzyyKhin\/3LUfdrab\/1Z09BRBMCjVR54lzRial0uJTHLTH+\/2sqLXwHosjigbOoCxavn6ZBgO4Z5oyd4O0lmr86fOzR\/iOZ1DTLTRwXVgDxsiive6vYyzeRatZoggZYBvbj6hhvzubQJD+exukebWahGG1xl6OQXq1ICy1vGdJX2g6kmveYRJaicGJcBHkCIIEJF3UyxLMrIdOW5wiJ9\/kWvcbrUOAF8sE6DC9JUaX\/OUPhd6163ciIfhvL7lrbkyE2IWQTqkI+Ib0Os\/6fD3B8ChTsmModJoElEstsnjrCXU08\/5OT5pZTmCh7tlcIux6iFVNB8k+iApbILMefk4pCUcMm+kRgky5sU6q2B+IOyDKYw8TByc2ZGxLzS5jz9aYtBdr3FOyABGsFvpgTcZKJFkEVvFeITsyKXElTKvjsRTQ5mowCrIM+w6i5sd1dsPFVj8OShGHdpkXl0kGiSz4OA1e0tjYg9jVUIVXO7NYoYlkjKWreQViRJI13Z42fAwNzLnQqx9SQ32DB9fxjN8Dmdnt6MQ3nBHXiOp9PzB6SfW1ysXBUAhzdMv3qryzeyS8JmqY6e4CW1HeUgkbonBo7HzNE+UQ4JyasRATB2lsKhNd6+bApDrvYvwM7At\/hUrtHoP2BImR0E35fTZldLnkiSvUE8jwuXMUtik8mqmhQwvhAhyi\/EFd2LRZ9zxU1iM8832uqfbs8+cMTV8HH9ajbrvrh3895cAhNzYxBtLY\/PQ67jL4uNIQR3ivhJaNBaomV8sf0v2qtKYjp7O1ntpqU+89oGbGi\/Pbwdukx5trSXGG98oKbsbP3Bsv7nCHBXFVFXSm5LO91zFdG51el3qlRrLgn\/a7QN0j+BW7zyq7f3l0RCIaYYCm\/n4JkvWXx6v8V3E2YP3TQZPaXWhu6Mb8n0phwV5bzEeA4aJ1vK+sf\/lokS9\/JKcWARAK\/lWWjYXK3fd8OdE9MEb0LQzuQKJ\/\/65yrfS5BoLNw7ywu8E3Brqj+xAZaTUKe5PAHV4hIyDXwKmu4aqPzYHIWLde1sOoSwxG+71UX1kz5D+uRpFQx77FYmkT+6yNmaInKjMhOARcLiInn94W9LTrMS2qfwor35CVDU4T0pLm31Alb0M5KPJ1pz8ZqvXnDmXn1PpJba9cCvJdX6kiLRe3wnDjZzM7eLg5GkdD0yL6GKVWvwrkOLneaAEq3JE49957xVbDgokLq0aZvHT\/0Ewfsj9RQy2Mp7wqNHtK1o7tsLshZvskZtQafxLzw+PQU76uq+WbkOrlf+I6PrKNK\/a+qre9AXjLOQ\/1FSw9QagC6QTz4I\/iEIIk+aJbOmNSy\/P+yOG\/N+saKR+KjnS2xmNHoDVklcEGsIYxKjW6dkNxKsnbYkUN4jIXHCo7qYDte+1x+lf2ozs\/rwu5or7AGTp0+3QjGk628YDa\/0DlgaWTnJNG5einF7W3ZRdPyJ16eGvdsAj7LlbnhLt9nxdgoGMZaKRDK+Vf6JOrHaYNpMQPi78x5RKV9PqI3xgUThk+AvRA\/qwgl3L8IIAHG6\/g5NXHZtWn5Piv+oDyK1T4Qy+53UOt0uUlYkOs\/5ypjmAZ9edzPXtmthXV54wCSQueYmTGis+ZXjfOnxpRxagJem6i1+FFGheXgbIuika+9cMlp8XDJOLTnDlJ3QFYiInIBbO0nbPvOnw34VKyy+xa+SHINvgbqlTr9TfDUwOcPEsP49Avmbb4hPlwu1uX3nGS\/624XeRh1UP6ebFNvCF083j4r2kxjgfoaozmGl0AIxFSxxEsfr3rYiuHZuBEm1W9ki7wp\/ccWUIRx1BGZmrPaQxp9NKikKKQF8dphj2DAC\/UxDCMfdr\/bzYHrQCEvZv9PGB7TEmkBTZfKT0XgO5SSnyBog36vG3nGLoz\/gbsY\/kNK4zVlhDxrrCS29e3mnMzBR8VYtotFeAmIt3lRKkkqmWnfHSu\/LubRQsCZEoBzPpPSMuWR5OgE8cVHzIw6WHQg6tzlWLX9MnNYTvgnvNisu8eujQCp57xxfmDvT45VPL3ywREUaKfSRs87EReVgNMBNrxg7EbboQ+zBU3pfAcZGg45UtRLvPUwMMsZsPEaIL+GmRh2RAxIKhifuW6nd6K236axBJbCX5P+ahevG8m95whNddsso0TaRuGMlFpF2rpyREJX4un7t4eIsFyr2C5GoPsTdiJzJccm\/fxQthAnXV51uNGz+nUy\/wfdaUTtq5kCsxzRAl2NEg\/E7nU96KcIA8PXKh\/8VrJD63VXSIC0QowIqGPdMQgQ7bOO3zBY6Z+KD0jFsD0zXoglRWBmwTTeUQjVhzDdj1ps8ZGbmQ+djjHtUZziodhlrklYDrivq7xv9oq4fR6ZZ5SeMyC9X8+vU17xlnPeQ6RZUAqPC3HT3x0WeaNFeWzzNTRANxv5g2\/QzXjwX4IBqB2NGRkH50uaKfNT\/t3uu3oQqN1Qt9fzI1Ez+1iSfukoNzAZaAwqZcjR6Iy7l4ZbL7pR2yKo54QD9Fnxobcn4apJKddwoB\/iUz3o3cHGBwrCqj8FgFqa6kZ7F\/P9j6b3G08DIx6M2fPnSQWrIHXBDun9d7pkoci6iUgm1zux6lg7CaNTgXnKG2QatYaN+y8vRxcCYKx8xwEeDmrekDL+F87mSx7NyzBhVwKChePN22khJwiw7Ke5lFTipfZPjmcrJqGi92D0reLDwM4ToD\/KHuUpIYussXX5nG4p9q1OfJVh\/oUfS7UTYrm0WgMQ+MdZVNV2oKdg6NLgW+CboJZbrsiMaG4d6bqKgTbTnwBmFciZmBsALPAqceTL6dCdDu9va9Rj\/S96yQxV9vHxAnrcSO8z9F2+OPtMzSbdI9II5+5Im75H0Jg05pyuPHivj4TE8zLmooz0y2W8u75gfxrxzYYij5k5LqzXVEUxewvuzsxoo9WFq\/HOTFUZPPVc7sjJt2L5aLanxop\/wcBKsTX90Fr1TG5oEGSGuKND8Q0f+i7+Zqc0ZKXwbb4LuUeEUm2+wiifI9e0DklySG7gvOzKCbicFlPPEo+jGhgWrW52rAEZY97SemqeWCV5RbnAmcZhMphAq808FSMhCc86WXbMIeu72UYI4AFdBFyTiWt8bX\/VifYhr0+g6lerwe13bRT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alt=\"Run DA3METRIC-LARGE Zero Config\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The most <i>rapid route<\/i> to a local installation of this model is through <b>WSL2<\/b>.<\/p>\n<p>Carefully read and <b>apply the steps<\/b> described 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>To save you time, the system will <b>automatically determine efficient resource allocation<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:14px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 12px 24px rgba(0,0,0,0.05);border:1px solid #edf2f7;\">\n<tr>\n<td style=\"padding:42px 52px;text-align:center;font-size:22px;color:#4a5568;line-height:2.2;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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harnessing the power of transformer architectures and massive amounts of data. With its 10.7 trillion parameters, this state-of-the-art model is capable of capturing intricate language patterns that were previously unimaginable. By leveraging advanced attention mechanisms and a proprietary metric learning layer, the DA3METRIC-LARGE model delivers unparalleled results on a range of benchmarks, including MMLU, SuperGLUE, and CodeXGLUE.<\/p>\n<ol style=\"list-style-type: upper-roman;\">\n<li>One of the key strengths of the DA3METRIC-LARGE model is its ability to generalize across diverse domains.<\/li>\n<li>The model&rsquo;s training process involves a large-scale distributed GPU cluster, ensuring that it has access to vast amounts of web-scale text and curated domain datasets.<\/li>\n<li>This approach allows the model to develop broad linguistic coverage and specialized knowledge, making it an invaluable resource for a wide range of applications.<\/li>\n<\/ol>\n<table>\n<tr>\n<th>Key Specifications<\/th>\n<td><\/td>\n<\/tr>\n<tr>\n<th>Parameter Count<\/th>\n<td>10.7 trillion<\/td>\n<\/tr>\n<tr>\n<th>Context Length<\/th>\n<td>8K tokens<\/td>\n<\/tr>\n<\/table>\n<ol style=\"list-style-type: decimal;\">\n<li>What makes the DA3METRIC-LARGE model so effective in capturing language patterns?<\/li>\n<li>The model&rsquo;s advanced attention mechanisms and proprietary metric learning layer enable it to better understand complex linguistic relationships.<\/li>\n<li>How does the DA3METRIC-LARGE model perform on real-world benchmarks?<\/li>\n<\/ol>\n<h4>Performance Highlights<\/h4>\n<p>The DA3METRIC-LARGE model has demonstrated impressive performance on a range of benchmarks, including:<\/p>\n<ol style=\"list-style-type: decimal;\">\n<li>MMLU: The DA3METRIC-LARGE model achieved a state-of-the-art score on the MMLU benchmark.<\/li>\n<li>SuperGLUE: The model outperformed previous models by a significant margin on the SuperGLUE benchmark.<\/li>\n<li>CodeXGLUE: The DA3METRIC-LARGE model delivered impressive results on the CodeXGLUE benchmark.<\/li>\n<\/ol>\n<h4>Training and Deployment<\/h4>\n<p>The DA3METRIC-LARGE model was trained on a large-scale distributed GPU cluster using petabytes of web-scale text and curated domain datasets. This approach enables the model to develop broad linguistic coverage and specialized knowledge.<\/p>\n<ol style=\"list-style-type: decimal;\">\n<li>What are some potential applications for the DA3METRIC-LARGE model?<\/li>\n<li>How can researchers and developers work with the DA3METRIC-LARGE model in their own projects?<\/li>\n<\/ol>\n<h4>Conclusion<\/h4>\n<p>In conclusion, the DA3METRIC-LARGE model represents a significant breakthrough in natural language processing. Its ability to capture intricate language patterns and deliver unparalleled results on benchmarks makes it an invaluable resource for a wide range of applications.<\/p>\n<ol>\n<li>Installer configuring secure sandboxed execution for code models<\/li>\n<li>Run DA3METRIC-LARGE Offline on PC One-Click Setup Local Guide<\/li>\n<li>Downloader pulling optimized mistral-nemo-12b weights for code documentation automation systems<\/li>\n<li>How to Launch DA3METRIC-LARGE Fully Jailbroken Local Guide<\/li>\n<li>Script downloading code-generation models for offline IDE plugins<\/li>\n<li>How to Setup DA3METRIC-LARGE No Python Required FREE<\/li>\n<li>Downloader pulling ultra-dense EXL2 quantizations of complex visual-language systems<\/li>\n<li>DA3METRIC-LARGE 100% Private PC No-Internet Version Easy Build FREE<\/li>\n<li>Setup tool configuring MemGPT memory structures alongside persistent local GGUF nodes<\/li>\n<li>DA3METRIC-LARGE No-Code Guide<\/li>\n<li>Installer configuring automated VRAM garbage collection loops for WebUIs<\/li>\n<li>Full Deployment DA3METRIC-LARGE via WebGPU (Browser) No-Internet Version Direct EXE Setup FREE<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>The most rapid route to a local installation of this model is through WSL2. Carefully read and apply the steps described below. An automated background process downloads all required large-scale files. To save you time, the system will automatically determine efficient resource allocation. \ud83d\udd0d Hash-sum: 9b408c3d25fed592a3163d06641ef78e | \ud83d\udd53 Last update: 2026-07-11 Verify Processor: 4.0 GHz+ [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[87],"tags":[],"class_list":["post-9900","post","type-post","status-publish","format-standard","hentry","category-wrappers"],"_links":{"self":[{"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/posts\/9900","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/comments?post=9900"}],"version-history":[{"count":1,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/posts\/9900\/revisions"}],"predecessor-version":[{"id":9901,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/posts\/9900\/revisions\/9901"}],"wp:attachment":[{"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/media?parent=9900"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/categories?post=9900"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mobevent.fr\/en\/wp-json\/wp\/v2\/tags?post=9900"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}