# Prepare a GenAI model using a Jupyter notebook

Use a Qualcomm-provided Jupyter notebook to prepare, optimize, and deploy
large language models (LLMs) on Qualcomm platforms in an interactive and
step-by-step environment. The Jupyter notebooks offer full transparency
and customization during model preparation and execution.

The following image shows the three stages and notebooks typically covered
by the Jupyter notebooks: model preparation, model conversion, and model execution.

![../_images/genai-prepare-jupyter.png](data:image/png;base64,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)

The following table summarizes the Jupyter notebook workflow for GenAI models.
This workflow is applicable for multiple categories of GenAI models, including
LLM and vision models.

Note

For more Jupyter notebook examples, go to [Qualcomm Package Manager](https://qpm.qualcomm.com/#/main/home),
select **Tools**, and search for **Generative AI Tutorials**.

![../_images/qpm-jupyter-notebooks.png](data:image/png;base64,UklGRvpVAABXRUJQVlA4TO1VAAAvWEnZAOpR3LaNI+8/dpLr/T4RobZtGwYa0+sRoHHAo+2CMXfPF6w5hpgYYNou0MDrD+XYXoTwOv+/TLKjWzEzHGbG9ujAe7jMFXbYYYcVdlhhhxVWWGGFFXZY5gon7LAzd2Rr/u//raoeQ0mj8XukUUdHp7O+A0PO7A5HJb+jzsrskMb5ycww2TGO1Cq5VdKoo5IjjA7cwcRuHacM40MdljSx2X0BzsfwK7NdaifM7OxkfQsnNDOU2gxlZlrm3ZhDa5lbGljmjefMMnOGh88Ys6NeuoSJN2uNdtKlluZAq1qmrJchM4cTLm+6NYaWRlvR0j0YbmDZ1GcZD5jtiDpazNB0AwvvwfCV+ow0Wt41XIJXf2nvgGGqWtPZqJZ7wexLWIbZeCWzWy63JpC6/V8cOf9KunMfmzLdOdg0O/PrHYlEIiORSCQSiUQi6R2JjKR3JDIyrnGRIwGSpDjf1hP0LJkTK44EZiCXHSA5jDTTU1rq/kuCZDtum3kfNPgFfrzkhNLC5aqJ2bbnkuOmllz2spdn+S/P8izP8izP8izP8izP8iyPdrWsZS2P81me5XE+y7OsZS2Pd2fncq7dgf7/+75zqqrZ06w65/+AdqBzmhE8Mp1tElDOZRzn7Fk6TGMKJkwPnQrKUjnR2TSGI4ACuyggDtQAR+CgFMpRWaLgFZXVDkqUk0KPy2FKYVpoR4Jw7nE4zmmAwjRAKIf/Bwdqkc4UWHAODZRDOZvOecxybGfPgM6RkyDuPIqkc852D5xdyqEdlEVnmxMA50A5tBymlQYgnJRzzhJBz0CEsso5h1ILbkNZRRBuZw+occ60ZqUi6MhxzpkgJjnnREBZOs6hPSYwAB0mAANqnM0ZDZxzNgXMaoDmQqHoXBSVIxuzM8YotJxaImYwJqBMKIfHIJypUqCzlaWZIS0QCiSgTOUwwVmBQhsUpt2ig3Iy4APbtmzbtm0LN9xwwwXDMAzDsMvCMAzX6z8MwzAMu//DMAzX27K7+z9bfAAAlWnbtm3hjhtuuDAMwzAMw8EwDAcHw8HBcLDz+g3DdVnYZcuurv+u39V/W5AkCW7d5JAIAQahmaXCWoPg8fHaX+udBtuVlN4SThFQBKIlBsVZ4kr/pWrMttQkXEFOdNWPim7P1d6eqwOtAVRRsQb4rOH1B22dXobWAK+UFGwCJz6uNJQoQohlKcJrBinQ+KXcEz5poqtQpKSs4dXrZ1LW+PrtLaO1xldvetwaX73KtHho0qQMxX+xK0EBXe7xy0eHCZ5U8qMotTp4rR5eP8NcwzVJKNMu2kYTZ2mQXQkKi8LruMV9/PLu7jDB08M94VUoubrbMyVlDa/ejHfIvEwwH0369i1LSHCWsi1BFeuLxi3v4728d+jgxpMpP0N/ocuJlWS8acYcmpDCuoSHKm7jFLdbfZi7wwTlw539o6Kb7sqlVJQy5UVKSEgo68so6WVZgsIcA69j4XXsx5vHM26x0smZJyz1iS/FcaWhlcKZpdIyHblJ25Lw2n6UcNKRgE/DukQIZnn5oQ7l8Zxk3Jd3elQ25+8h4Y6UVrqoY6JTY/oGcpU+kcoR3JLaYVRBp7cMgQfrErXO6xjntRwlqcfbSdBkLi6MSaYdFVI7NWZo7DhihmHTdLX5eJPNMWuPYKmXkU5IYF0i5Hitdf6ZDIXH43nRv1p+NbqvjzedunXXHv4eMuXWtbuaeJ8wO+dMwTd9WZeGhCCGHGmudb4+gU6OjVePxxUhTAgfcMxqDHLBHrM6AjwhUhkxuE6qCeJn0FTsS/Qxm2udrh3HuPyMeVlRSVcPx6kD1niHwmbWrm2zHPFW66kdC6AdmgQWJkZAHAVxtCNRmFG33GMRVQqv1VXh4ji1VbDF2wSUyYvU+VU/I02PYl9ilBcc5cj25pDT1TwZ3XEdn3MFeyucHTbB5shDrwX9wQpv3zKGvGxLjIS48MKjPhBLTlZuMbbu6ndxwaCx2igmCpaWLh6prfL5p1IvXgjtOPUjHVfq7p6G/ncFLmeAZ2ebDw4/s04Ad+rpyfWy+WTz2ZMxfXPm2VHH1MKyI0ZEFxQLN6I7IXgNwfpVk03dtrXMOELaX8oF/SVyk6Z7tplm5yqcZXE543s6TnuzGgoagHhcC879UOiSXxdPVjPL+G41PFIDUs+czSazs1oOAuhkg4HDlABOQ4K4VHrqPXGFPqHHcSby4a1RELezTvJj0WiIW6GNrET9h5qC8SPa82ExIaXwyGS41qnU2xy1BV5uZaXhcPaS2jn0jpz99U2ORDECOhcVve7IB9LJkOO3OQTTiOoItty8WXu13Z86lrbg+CcO3cQMA6ceBHAYE8QN9FzF96Kjn4KEeLIarZ6UkwUFVl7SFwOIenfer5W3XJoGjMNVd6vu9tqSFzhoQHv8bjUIENIbExzbxUdWArisXSV8RAIRsZGIchliSsfewooEIi3y9Ddu3QxXoo0iFouNRL5m9qzUykt8ZYwsM6mhdJRAfKBx5gtgTdAiFosJX+N0U82wVMwJVLg0Z6SjSBTDofPwz88joEvRSAf+wcKNGvXp05Gr7pXniLf6BKvgs8arQ1rP+qtiIo4OLyqmHxVxK6u5AEr3K4D3F27VpGHVOhjNf5stpo4dn603T3UGnYPRaBpwvsQAvHhqGJigBDa3CvTCxN12SwKI+gh6MBoBIyfJ2ySQj0MN/yb/Hsb8SSCQ4pnFgyHh8+OxDJib0JJc01oZrmQREyllvo2OlloIkblrUbLI2FkgDck9X2d9k6pP+InrPOwr8VZqVdhoL/Os1xr1o5q/NTfCyDD5PFy+nOtcRRve8MKve4T01+Y4V/q0EVIFuYGYfgRyC0r8XHDaaYNBLiWloiJFvyGVy36e1MgAgMRp4g414ce2ZpJvjRA/zulR5MduTU4rpABKz53DYS7Ns2+jMwIDLTVmefnaBlDgmFGv1EF0zNp1SVsMBJCSerL5kjaHvXi9NAbh3YHgPc8jFkkdVdpKSvLNv/sfLzKKmJJXALf7vQzaFFnVkzYZSJrGADmwuFSjwCzSmeuUitt4U90nCiysyhbApnGggRjojKOdSyfVLvXM2nVNf1lUnDziPjRUih1QfPjaQkr0ZR1mU1H3m43W6IWxqOxrczu3FZgMLGVvfr9lBu6nYzCB12gwwdNI7A7t6iyyQmOv0446ppblmImcnNn+Ukkt6JXRC5dkq+9t4oLS7RPr5p/V+CgtuwKDM9uDCOTsAaThqzHfZDkB/AxnfT11pB8G0nC91gQivZ78e/kPmYoQSPIPuvt1O6lA2qXjEPkv3T3gu+hsr7O2tLWB6Jy1P8Ndh4p03N5drySlL7UVGW6fTdIwdw/08581OLThmLuzpK0TiPJFBqOZqO+gp427r++kYp/EujSJ0u44bHfFHwsgmnKaNFk//+mCFxfr31QrdeltNBhBKpP2V+lI/9BZq29u6uuA57gV2hWIPWSuRDoBuI5P+IhkQYzu6zsNBshPZpN4rd8fOfNaAuOzAdTfOLVOaXe6Z/39hA2LCxBRYgiEYfbzMPlc829oVNERdtVbbq1qkiNVXnxXLo4eEgxyYpCxV05OVoTwl3FIFV69SMdXY0GAVEfwYIxboYm7JAPcNUBpURUwSNAggLWb21Gzwcq4nSMlebn4Hn6V1fsXJ4BrRjdTkvE3ZnPJ7MxBdBDTOqNk4GXrOOiZN1t7B5dtt0Hgysi9Xqv4KquiejwtaIFLIwtGqw6Sa/NOAGWWXqtkXA85r1IfwakJpUUjAGuDDnWV2gfcjtn8+BSJbekeuGyryq58m7yOz9GIbjPHf1dHk9NxI9yBxYRSQYEODl9hsJrCmPEyi0p/U6B63x3qkIZtM7u0yNTxVcZHo1nhtTT4PMOB6LZXSWl38HXScV1mVl4rId61BkFm01Jns+HT60CfeBUY7RPrVqYTZ11ms46fTSUrnB4AkI7DkD8xzfeb8BUJBDx2EV+H05IjQYlYLHaWB0j4fL2e0U3jRQJxaYWRhiVBitUKzO0bO+2Wv59YEp/iNkX7U0tqSa6ZoaURm9L8vgkfoSN5pVZjuN23JCkPKZgSQBhJUeG8dsFVQxyO5XwSiBwOupk0RN0jYi0/nwTyNUi5YKBxySLT1ZBtJS0da/n5tviJjbvMwnK6KBLIz0WM9BMJRA8fkEBFLBZbTepyyZbkSGucBTwnbG4k8v1vMcP3WQlIXmbJFuT7TmJWaIHDEmmw/xZL4iPTBRBbeqEnTyPd/dAEIZxyI2osYoyvITZzljA30ZKollzEYmsOlzA+GxiQwMUfJ9fp68Y2taTupx51NbjO8ajVmt8nZv7V3EgSQ+znOlFURAGNUiX6xFkxQwWbuk1TmXHDadEKbtoSuU2Ouq1NMFnjHa17/aqfK/V6dUPs4ULj3EEvjENPoM94WjjzCEM1CibpDaTgtasqOLcnvmI5ZtwCVS0ZGB8NcJ0QF8Clxg3Yh4q77BZdtsctYL74JKeEAJIpw+dJiVytcaa7yGXJv8m3uyHAAnlRS4VhTP7bzUnHkwTCi5deGrtoQDdDBA14f2G81rj00q/54iMkxDuzqaFFWoinBHhO1HAQ2aeOu+ySmlllVUpVzxOfEBhaNGHwdZL2hpXLbrU5yGx3l4sCa9fxKrDaLxkYT1SYC2S2aQQnYjHt1zo81gL2BWumPBv1pvojbt9c6NcfTn51MB3bSFacJV50AnxG+gqn2tjZgqv68NHIr1MvcTPSkqS8Pqu3IN5fN6JH3oKE9M7iLi+JE7FtITZUCwYaZ91wB0j4yOHYZgvySfi4JWBuYmyEOBx9pSxlPy2U0JDUg9GMdXzEAdKwa71getGbSxITsE0YiYTx3XhsyuMY6Yi652uDRm7ykl6VQIw/M2bT6G+yJEDcN41NLlLmSMOya/P3rUXKPROosMMQh0lkQ4Xz+ISP2LQkgDXBCOu3A4lTa36xTrSF2GrAzmJnmSlgqmK6Grr74nc/NtKwJKhPi6+4XAxIoHI4HmT9yTB0u9ZPl7A+G7YOut+ZPlmc9V5wgCWvRw3gsg0VW61kkZ3kwnm85md9mSNIDLHGsssWhQAb3j5H08VqdapC8vJybVZbrsJn1kjlWVvTDq7aujVa5llP7cjqGkokBlXURRD1n+EeNd/drqIOdYSV44kCye+RKzYV+DzdAVQLDv5kXcnADnVU31Jvoq41ZPuAtUN8RLXGuWaUFsXjcT0LKWkB5bQ4UWZeAosBfEHPrPnu9ugdbLWZmqS+rFaU7IrOgA6CvzLAaooauHo86dk2DQR/obKyMnvXGlDeh2mVy66yKqb8PMNDWKcR5OQhzNYgYrVfMrBDoHHWfKedPdoWTMRaEJOaufJAK6qAF1PCT6zGggfZSeM2VzQXsaK6+xVV9LvxK7kSU/wuWEVsU9KwbNf0zVdyJc6aW2oxNgCULDJd4J2LTFeThcOlY139E3S7eqcqq99LAPtGN40MDRcTS0PCpTOaqTyQibwAtsBkm981ne69kiuxVb3+8OM6iZZEJ7vqm0sF6QBLCsQ7YvOvTe+vxhavAZnjfDZ+t0D0yKerubgEYpcAKg80tiSApM9i41aevW3WgqidxVYTryGTsLs/xSHO6zaRWOQ55/20TfTAg5DrJWF9NuC/6GzvlThrPOhZQuyUXIIfHzPT7Cnj7oHIEiMgiAg1MbHjIKb41lLtsFpiwlYSIbl1VBsrT0yCifDWfX/OpH6/pFavnPh8wmu6hjHXoUI3fcbrUEdwYwzGh2XR+N3ohdELdRAS8QCMLyJSj5Rx43k8S1cq9RGsrOaiZOaFWB+Wn+8bG8AUhiDjAii9MHqh72CrzdQkAETxuACumd2UNDClerw4WSNoeK1xh6LKZbvWsNeJLdhsFFb7xLplUa03G7XbGTBbEptMO7tJf8YDbXpn+0grfaObRio+LYTQEGPRh8UcWvVDGTDbH78IsQy/XENttqarydLhHmQn3p0Sfm6JB1nRc8Mh3xjycISxcR83vJNGRjOBt64+dlDmJmKnLXU0NVLva/TqR8ZGItrrF/VVS8/JeiOXjGmIn5H+7sCxkVm2sP5wAA+SQI6qB1mwCpBGk64sZa+2JfuJnYyd98Bh6k18zxzdhEfspJHR/YAE+uOx+8jtMAYk0K/X04VcLtgYn42odcDJGNlxBhZjNneWEDsl1SeNQxCfWMz8K9NHkhhsP3/3V4opo1N53lYQxiSqSAGRQpmqin08LV9xFSoRDPr/qQDZsoYzBzntMNdY3Qn2oeJ9mYrf0la9YQHV41Ecr2OYmVC5bIdA4wwrnmdy4mbPjRqmPX5jLI1VhcztIDnmNTvtVMl94cxMXRw5ajgY4Q4sZjaFUVkEDyfvr+TfJFUtw1gaC1296zzx/kHWiY09GwOr/azRTR+/1l8lth0rBu5cZCeNwAESPsJtmGn01S0yJPz8qunYNmqTMYHaJZC45ILplQHb/FJGX932Q/Yn2hxzTdYOt7N9WOx3bBwg4WNtTq6ohjwcBc5jT8alN9kMOYNKKL4QUbcLGxtb2McSAMgXpR+a1onpakTkK/5T7zOSFNQ+ro9ZV2SanZ3MnoDidz9dzRbEL2FixEaJi35z1mIxW5drLkz95WqZdpclPwEY3ZcsYvmFBCmHF7972y8m6O/dBlFCfzbGWj2RDohPBp4lntFNLk+Iznn36Je8bJ+biyAxwBqDrDHEeh4C4UEy61yB5wWnsoncumBem4nPtxUrvItt+bzJNm/B7XPiTTwv5CpcQom41d6eHEd0auX42j1EpftdJa0yqsfTQ84DXCcQTyh1qAPSsGgMUHqeuPSdfz7MGgkmKI1TxvuLUjDvau7GDIP7hv/vLywpfks6OPP+7wJ5LMwOKvUBttoM+1TEJEcf7ytyO8Z88Y3lspoiBibnD+CeiNh5puFMexkM0W1/HoOEVVYVsdaJLYTZnOcQsdrPoosfP4bTjLv/gsnTiduOn5ZAPgup/tseqgUJ6YMpLUncWjoyokceGxuw9J/YiirubP3HguekBCYoxCurDk3npdusVmS42XYdW03c7sScciPU4RhKFtnE/IxmtrCp60w/23tyCyEWrMLu1/Q+K+2QrauY+LqwkzB/3+n7OZYz0Jy++KeN4XEby2kfITGQp3aW3e/Dnzf8+I6kxdiZf5f7uGEtSf7B/f7Qkp9AHMb4fY54sbvYlMeyZOhJ2KAPjtqXXHPhzH0g38Z/+6i/aiVW99hmbLoaPM9YS5LygmB8Nvocm+nz1i5lzJ/YWWJAfBtbSbtoiJ/YajNt1Eie6VEQYWKQ7XGINWpEhGLK40iVXstpRTLZ1G0UzhFC1aFUqanVEcIKl33bTFarYNV0zen1q/+0OCe6itMD6dsLDTS6Us23Zy9wuOzJgOK3FLfK211rUj1enKj4LcXtqvkXeVbWGYhTiueJ22TxTUrdzRx1vC+m2YwAOsk0/5rumRe97G0h44rn0cOZNvactUB9mWMeGm66I4SLuIU/vkkpb3ng+Fabpe8jdHr0v3Soi/5/f2FiK9Zt5vhorKakgc08/wNXy8T8a+1KcUf0v/PIF13lkRnE7V58QqkF1jqxL4LM1inJvPnEgrLazyKLWaqMxWInY2UtFwFc9qH7xKQv15Hc90j4idhqwFmdzJ6AA/Rxyk2+7P092KK+yeVJyxnzNxaLCST2bjWGE3eNpzg+8Ff2sUTIwzHAdX3CR3wCRjP11iZjsZGINhkpmuFEYzErzYITYwPrjcRELLbxZDmwnCF/Y7FYS2JTMwNJr46tP3yaZ02sTxZ82DgaLWLkVxu9J43EhThMXxAfdvSPKg2W2QcmbflRSbrXgtU9XvTmkjgBp3PQ3SEIxmdDGu1k7Py8xq8NuE+cLbbxRBm3uxrWmy0Wi1lpy40oUVkTAgjnCqtZSFUMY5QI9foxVUjx7at6hzIVXswslTKHMYkJjb2r5DbFdarMWvIl/sV7TxrkJrzqR/UABUndCwLiYhlpnh/EK6Tiijtnaa/kx1fvZDwugHHYZkrweYaTL69azpLNQeJx4mfi+LE+sPSDdzxhIeOkreJRJru2FdSfsynoTh6/EII0RFNU8bgAyq6aval4ZyD1Pnor4/G48idBbsWm2cxlT8ZsalJz0uK8yeaSngGD91xaBWR/NPrgX6VB1omJ2X7KuaUFTUxHvAqs9rPs5n5z+vcaTDXQBEatSzbDbKQJzKr3b2oaWQ0XWjP1x0EdLtR/qRZk7ZOcYt2y4wAA9CKOVFXWhKypXp0G08OoQdYu84vRfYY/LeTyRM9zMII0EJ2zrBaIJJGcXFO4b4fMuMXFWokqznUco7dVKFV1VV5u7S65eVUtjNNOexw0zlh939s71LFGbvxSE5bSCf2vwVsyRRlXUvMGgF5NrH9Jq8F2BnQfvaQOMqcKnPPccVzcUllk3jBCq3q6e2IfEUpTzBbG0ljQQ86j+svYpkLN4GxNcN0Qn5wx5gbiIkRaVvKAKyTXiChtPG9yKhs3bIVG3sthQxV8Pp63Oe5lDIoqLS6VzkkyIRMIt34AQIG9Wx1LvdFqFXPzl7Xl3DHZ9PTNWMzadNzOEVlcxdZyeBOp8N+6mcsuxAb0Sn6t5hfrIi8NsAT606Ig14oSttzdW3187NiA4153vZcj0ID3WTWxV7X5eF7Yep5EGDU3BSIbZNXNmGRcKhO9A4uzWire+5W614B0qAG5hUpe1RyLDrDaJ4+AQRHO1UKmlZMk+EzW3IKGxtQzec+UepySvFyryWey5dzrvuFMqce3UHj913NayAZd+W5Pykn6+dHI8op612OLqWOSf3xjQ3bBABlWMccAcyQvJZEyhzIWiipcy9zr9mjkXGcKpWxx16537Z3aKtXcVWEtt7lXSXUoUWp1SddpXR6quFsIq5JWkuGGy9QUaromvVaklnGuwtemAGfyzmU0F8wbMAXQpMbUQnFFEfBMqcbe9ypOije6PB62JVYy3zQbAIEiyDXxvGn3Cu8Wr91KqlVs8/H51oA1n/fZiv8s9fi9e+6eNrX1VDYmVjbfNEv+oIYfvfvYoTwvBAImlNn3JMdpVT3JvumENSDw/A+dunXVtBRmeXk52xIryTZZd1nFfIMNjDRy2ATB+dF3vdhc3o5f2bEw9ThVH+0UBDSf2Zh6/I7oEejZllhJNt1uJXebrKysZs2Sa6gKp7+IVOl55mstlfzdSDU1NUMgvvbFzFVVk7aYNgTzCEdAz+m8mtP1CeXp7EosJ5tWkG1WlG36Z610ts26yw2XSWaosnKQ7XGw7XFZWk8pYmgUxNdt1H7049VsrnW8dmRbomfPFd1t+q9ktlnpbHOXpje84Srmu40umvzZnz3Q+oDiTX5v8N1piN1pyP287DD7ufsw+TxMfh4uP4+AziOgS50H8xr5cFm4Ufv2ffqwLbGC7GvBBVf47G8mPeou5znPKue7VS32i6JO8kBrDLw5DLI9DLo9Ysmh9nP3Ye6XYfNluHz5COwZJxYe9eG7fZ8jsCuxkvWf6y64/OxrQTrZ/zErm22bnuc8KHlMlHy7ykHWR3TQVobcnQ499H7uXjNcPt/6XEUjHi4jHS7owbw6hmCwKyGi0wBouu7ysq/Lok5m//4o2ZSORQdY7j97llkqB9kcsJKHPnT37sPeL1jydYteO4yBXQm5k5jhrNddXjYtuOAKsqlnz9vdDsUNb3jD11vVEosu+tkDrjFLZWXldw+2n+mDunfv/mLnOte5il47vKbSi7Asxf9+yHUx7asZrmWStei78TM+YMU/ZYpPJuxVmth/uP/CNK3t10kdwValXaz7/78GbFXaIHuVuP+4/7j/uP+4/7j/uP+4/7j/uP+4/7j/uP+4/7j/uP+4zbLvzq5NxNvpI3qq//eP0Z/y//wtm6xGHz2Ef94jzeqp/O/fg/57dSMbSTsrm6zEvwj+z3ukWT35//hT0Pen+F9/aY9ssmp/pBsZPeg/7xFnFVR7INvsLZj2iGzTdiPty7LPlLXfSFv2P++Rb3zvzD4zSzCzcP9x/3H/cf9x/3H/cf9x/3H/cf9x/3H/cf9x/3H/cf9x/3H/cf9lM0nBkWjxXFMyyylxDLRrZJZdj8DgjPHiUBRvZBkmh/SHP8hQAerbt0890+5QcbuFfu3bt1PlpQDw4ZQQJW8l7S7foZS+2qkMAdwfNGWRf63BQfVr7520x3byS7x7JD6oSOUOlEtIQ3LUYTcodZFkhr9vpg07KlK9yCxxv0NRlESD53rJipJsZg2ADSdGVJREjYkWz1VRlJS8GRYTe0l2w5lGchqXrHTxVZZV8vEuWUnScx2gwDlRkRopSG6oKPerAr47T0BJ1GNrNM8dipKSGIAfp/1BxWlIPgmxg+vSGwCKkzIq9xqYLG3vXI4AEJs497No7j0UJTUzgALXHDv1pCWnpNgeUUnWk3w014uK8hngflFRPgOhROqHQPSoJLuZUiltb8go3YX6Gzg0Mb/z8EMrys4JBUkVlSQ9a+i7ePawW1Sk2r9/bvkpqPesmRyR+GBv3HJTVwAA+KCuMf6cuMeTl7pLwZo7dSXKBYAPrXQJDJZTeqCUO8QHOmLWA705RfHGhaAP9KaVLlsGUJBUULnXPNmlA5Oea5ADkyYaDHpg0t9o96goj7tTRxqJDhXF7Zfc0o/S+UWMH6UT5MfmMKAwKSLR2b1601Jll/7koh80ZU1vp7R3q6Crn++Qt8+jGxy8s6aPuH47Vcbqz9rO/cf9x/3H/ZejLNq+vQoAJUk1J4U3sBjPPSlkV5gsUnjuaRDOIHx3SQC74XEGcQ2BB6/FE0Vnj6LAWt3iiydJlKeyJ4N1NnH+cIM4x5el4ljH4p5nJQ63uPvZclRKTNkZxDn+WgbprOLNlaGy1iMdOwKIxugM4phAhsrrkB4leR2LJ+spPyUd2w83iuTJzdPbwzl6eiSjyIHJslNcJy5OlefZclMKvohBhNS82ovlfOPidtFUmSnHZdDuk+UCwKwG5wwibllmStL0i7vcAgBE7d0t7jCTvpnF6q4auP+4/7j/uP+4/7j/uP+4/7j/cgTM4qpvfvvsFf5LZWV3HxHp4eIJRIhlVG6WbBN+REtWCV8RE6sFUQ6DtVkslvkVgcWRn1jMbA5nKRd6pjGBygy89fLvpWau6ODQZVn3vts9baijJDi3S/iJGFUtifMVjnD0s1p8P/HUNQAgKebYP2obIs+5dhyPC6CvMjcz2TqsXROaYlMGEzyNogYNxDpRRZysvpnTfUXXmlEQEpeKsSqBqOGRjVesLsa6QNL2W470+fGOHhrPTRquX7MK77kXdaiZWSf+YGCymkDqaal9ITQDtEIL3AxnqC8rewUaab2RyspqKT68Nco1B0F0P4qE6/glY8xqQfwpRTJqrxcmXgaiusSS0x2SAOKydo4A8Fr1kPOAtDvco3rbqAXq0/aOpp6e0mctgOiHzU8dSwV61aYhujs24j7dvX6z9M2I+g/OnijRv5faqyl6niqkhhBN2c3dmn9umn0qO6sTrUFi7uHqm4gG68XdXROwmGdWd+tbATVJryaAmIYUvUhxyFEA7uOGY7EE8nWYV2OFxAqvOX9jsdjNRzYqak+61ZeeGK6QlGqU6Q6qHMsJVFlUMlqlg2NGVJgh6r3Sc6PloIPYGwEch7IHmw07NvNSA2sHq4yCUnp+Bcb+4kdps8nktACu+bj0Rt/B3ejFMUG5FVrlsp2BmbSP6T6NzoOeeqvz79kuUSXMpH2U9+EGLZxDgquoIp5ec7yHTqi4jhmzeGo8Jz1nIwsW7wQmrxPEJEPKqxAlp5FM8y71zNtcEIds8+e8LhaLmcgbODyN+FaVO+uuY7EE4paIYNTWIG3L33cW+u/ZhS2Erw0O0Ai3MJA4zZ7VCnGLVXmlCyFpGgPkwGJIO7fySXpjVr1zqYkRncjOkLxSXoWKPatw37BAYG5LAyurgcOYVbBmOOHqFsibSftA55ARTaRjFSy47AJ8mDVKpwQmJkF5FT2NZOVpe2AGvTsmaPP3zGNiVYlvVcRdY7HVIhlvToo5tib1lNnfmyVkJQPj8Q51FXqI7lzz8xOb20Ye8Uqr8mElA63iyc/PNwXYGMqrAES9q4o9VDEMXWH56Lb7V4+XqGp+vrs9egd9iXubCqxBbAczpEGAWCf1N7k0iYSeRpKCl4ZLq7y9ddQCbfxKFomRb/1U8j12lpGMyr56bM22wCz/KLYmQr/Sq8y1Q4e6xxZAFYmlF9cQSrXgQUuN1IdddMI079LEkytVNvGWQYIOq5ZqFOiYkVrbpGSoRslddOxo9kYDbvkMGbVrDaSuacQ0FPhusya3713aZW0cpSDmlAsBXMYiYpGPMNdXj730eMvfNxaLx7uEpHLZyQFI2zByvwXQFzMPAwAQKuZuBMpZ0FPPsqO7KlQfvscx6JrSAKe71vz8N6b3sEZwVqgsHkwdAo2lJvZFo6Yh9GoCfLdoLYyQV7kA2q8Zj8XO9OF+1qO+9NDe1nvjTjtULPY6OtQNErS+BOAvJztUKVh5klNCAJe9x5S4CaPq4ZofqTfvV7IvUqU+ah1XhYB9aiPk9MVYzprPSwdQ+YidqW9qDGZlLcRTguecuxJplF0YldeRpIaKqQTummnUNIQppZt30OYPDxKpeHOGq8tLD/HNvc8dx+NxA43evIDtCxLaaYVU/iRoAVz2YTVU6pm5AzO/1yHcnimqMi2XBnolFte1BqPGBZrqiP3YlAvkAd3MRZfpub5p4guHPQUWVpUM0mhVGEy3Q4nHzbxYIwxDycwCSBttGEdnQAtaK+RResMCjTGNaApDkGV6rg5ydz1kSz4sy97Qizp+aNR/KNjP1Kkva2L10ET12IRgrdUio9WLnqk2pB/aU98UZHj5kuNnZc5bPlpTJXdyxPdMeUuKGa2rkjv5GYWt9Rql8qdqiJj8k4vWg7kPrEjJPxJyPZk7F43U9F/1IoSgJSN1wf3H/cf9x/3H/cf9x/3H/cf9x232cBFg9aT/5bfZliLBLrj/uP+4/7j/RhFom12mbeSdsrnaZpO9z1UWWWeDT/X//rGR9nPlO0vJFqv8udpvZPQNRthpXzZLtliVtY+0s8G22Wq1wYg32XjF/cf9x/3H/cf9x/3H/cf9x/3H/cf9x/3H/cf9x/3H/cf9x/3H/cf9x/3H/cdNEeEW8ncO3YVdY9hotd4ucuoc0h8wTLS4/7j/uP9yQgAASxXwTEHKCaxUwDMJQcFCBai8SRIRBFYqZFInbC6cUGEEwLIEAEDcvxQP0FwAgH0AqxIgoY5uq0lOBFDRRKdIHOIWGCcUtgv19/E+7CmZrbe57Gtb4tm3LUSLjUm+rBMGQULTiag6AqhpNy8JAOabZlrEeB8NB7NVfx/raThcsSs9H2uX1wmMetk2dbvqbfRaANccFuFmv4gBCuFnPlPhCTCNQksqNFNUsFRCSqUyUQdHGkAasrIxmSUwN0lJSVAfH+lYr9zKW+AwMJ8Ah79wiSHBRwQCWMcbFg6hdh977dGJNBpbEj30lUhUIjyYxI6DJ50b8/bOUg9Qq9pjxmYTZSQwaP7M5vXz0VPDTHcAp6OR4HYc3fZROj1ODyAcgjpxcqKMQEioaod+Dez8xtFTEK8Oal6i7gXvao9KkFJ3MiVOEdOOfhIJwHdOiAT179GgAdcsqh5vGKYwBqUBiF/wdGER1Anv8Jib/QvaFDbmeULTDZQ0djq/l4fbY6fB8/abSSwA3xBCSBLU58cgjYa+ANKR3PM2eR3vGxYB9mkXNv+qMppHm35r5zfWiabXE5/4RLlWImOzXaQTAtSvR6lGgctuAD01TBUWu2dNaQQEcMxuhRYeQUJ5FLL5V324XTMIVCJ2Hez8Mf2kGhka16goJvvAdEKoT48Arol0cCyAi9NZWLumZOCjz4+Le41rhEeAd2iM0jcgpPMr9XsfrcA82YREvWtK911fUY4XRHUM14NulmIOEo8//XWAPemdjMd3aRGlR/jDEd+Zx8y6TqQE88RZ2vJyoYNuSJqB1Vz43hUA9WW1jAbCLH5GIYCe6z0Zqz+5KPcf9x/3H/cf9x/3Hzdf2GhxRs7WcQRYcf9x/3H/cf+Fc7h7/8u1slPu3rc4ZbC3sjuzM7Lj4b0ne977Nx4sI0VQuSp0ZbL3s3epHH9kx59472e7972ndJaNIkTUkgrLZOSqf+8Jh/2E//Jfx1/+6/jT/x9K/Cup7n0/MlFkSmGE4Ux05+k5wpZucwZ2JfZUtuphEt3Iq569Ft2aZKGEEogrhBL+voQp0VL1o3rqfpz93D0AGEUzsCaW1aAslB2KAFPTneMAVUbRDaxLNVgOytQUnk42tRjwWJUPISS+NU/7oDDGwHiVzBCEmKEGiKWS+2VxweYubyY1BOUex5nHex6j03cggDLy+A5pxdvxpi2qtJXs70yflnG7u7cUmpKBIyLf7WY3Why8mA4oNFHH6WSZmSZCckKQKKwwJoQImE4rdqjhYRqdA5t8Uvpwz6wz8m+oWWhME7u2BPhuNTzqOikDBAEWWlUggE3jnC8xAJQKyjp8883hGEmQulDa30XiCxe/ItTv3TDabf5aF2Mcp8d//cl4QkKJLOOWqwXBpXs8HkPEjVpZzQVmFawZjl61QH0TEL3I/DFU0mKeWd2trwT6kaLtoh99DDX60U9NBXrV3qe7963gPt29+ecGehr57VuP3hi9MHrhHA4DZxiTLqTmSFa3YN3yDKN+RACO1yfKHvWfV2OtN1ItPRCW+0aehtMTonPWRrhfoMBb8xfTjgiYOcZx8/gx0HQFhKS2xSIVRogq1Sl3xzta8g0OAUR9VIUAYG2wEKwdhgEVVSi2VG3iyZFug5O/T5X48NYqbdXJ5oNW2u7EI2ml9viF0gcwSmezyWClGZLR252+yrVrUK5n1qSi1ft/areHUYa9CVxvK2qppnupQd01abfrgyrsuTEAwOiC9f7CN7oGQ0+BOU8YKgA/Nlv0GqF24Q6THshzkpbbX7U3HQ9bFhUkTmfhb2ME+s26Q59GNp6ZSR1BHTc0JpmJwoWsZ/pPiLgSBRq/lNttcGDsvMqH0ZZyD2zE6WhkDHQWFZsK9AecO9hFJx5pLa04A4NLV1gefiwabZ4LAljFTssnBOxTmaHkInnZqhJDinWlehXduV6XVpvhfQzurpFc3aOoPV9SHi2A2/2eOy4zy/QOienogSr3VwgkTrvJkoGTie+R6HfRI3bTHDVdpKdTeM6kEGjUbRU2Mh1CyLQiEMeJ3oozQAjeLhxM1P1eBm2KdEJpIEqoTZn4SMT9SjUq1kk9SLfTPaJCFGhc+hbc+X3gbYEUQDJlcFryb/LvpntUIQ3AfSa3KEhYSEIPJLUPoGTgP9KAXyIi/cP0CD0aCaZTj0z/ZpowKgrRYkGEEgVpGR6I58FQqY/QmdYw7fwonZfwRxemtnwZErU0XShe6WnipZG8kopZEOrARUWH2LNKSdnVNzYA1w1r14iogUSBxiQLL8ndGekdWBwB/0BYXzeWdKq4pqfTQ1xumjDqUGK/3z8tTwyOPDfpePCVjeiYOjjzcGiTo9hS1CFb+bhy4dieuIhaGkwOzGeDFrV2NbmKqV5SXqiku5jNU1NsKdbzoCGa7pL51gAwVKNCemXKa127B6LzEfs7eqDKZV12oWCihaSbrV1vLDcC/vhZu9kN0QMK5Bm3WL9fO7TCiHlieORc4T3rmNm3BmxK3MA4i2qp0XGfGI8qTGEIsp1WKLs8X76/sHSXKQxBtb1GHU29MakpynZb1LFjRoQMf0jPUmpbagB36ql6r51mQDTTXoeLohP1pxRbqxGoOvC+DfRKG4xic5HtHHrSA42jM2pXh7j1HtKHTaNzyu1WRPyBSfWCKtdxy9WjDU3X+4cz0+KJ4ZF4tIW0TfZuBep9aQNoC6L6qaCrVxP9SBmq1FPMwe5bC9osL1/bCLXqy2qJ2c5TJQYKPkakPvc572jBGL9cLSRmaISIpM4CC3zSJy3AEwMl35m5cho/SkcqbbG43RbGZptSkQgeXHY2qGsUNljg/yxuyxKadiwUtFgsclOZSqTMhaUySHITlqhbQla3XTzdslBUM5a+f4+3lOt26VKpckNhqzCdZDsCa9S9tucEla5LR30ZSy/dhW5KN756m1FhmNikng4nKnShLl2WXkgTxxL3jBkGC9Vjd+XzLFYPijqx/3D/cf9x/3H/bYAg05eIRIT/Bff/Zu7/zbChX0rLvpS2IV/i/uP+m9h/RlHQ/we37E/Ajj7IpZc+SG4J7E98kMutl1wfxAKFyz1++UByuxnH4zY6uF1sUaBehHBLH+Hjs/wuN6sUbpdfE0tw8ZEqLjd7FHSL7gchObMv3qNtdF9CLuhys0mhjiW8hBt7nWtJyK+63IYBvc9WAVD3vddNkyG3zv64jE3C7EhRlAzMzzoUR6Qw7SsCHbhdsxNSwpiRs5F4AwFMc9hPDfyhRAB023mwOgHqpvcHvrrp/5WBULdeUxZI3RRSh4pLrz06KirSx9kLKhMrKXH5302UZ6AS6q7NrufBvGvSHf3V9LtmU5gd2fVIySt+sbulexr3JInufe/6lM6CSmQwkHKeEJgOtgu6aElsWn6FWELI/V1uAwDIaWLTiB6jClb7ZEePlkhgqyY8DwA4wHzjSosf0OpBy0ILDmLXpKi8NaH2qETQ4ke3YUZHF7tbRfnPKWsGmYMyI6YW/dXA3dsVuR9af/0Tvq7113dVpNrb4ZnZIyoTMyeexFe3Z05yTQis5pVJLj3trtkmOCN68EkucP26809Za31vp//c1tWHEhmMCCcEvCUJOonpB8nSghhEyCcYAiDjBv0kCgCv+2hVB5ALyTQBZFxyTYAMlckzVUGHABqY5t3VwTuCNLwSSKkOKuWa6Vt/6zozzfxbAPNEKiiENyZ3BMsz/xVbtr1Dp2MCgMa03/MhYyvPVDZKpB2+9My/hRtOTqgol5AchieuvVDTXMLO173f2LfeRRdXmPtXlFfmjHNDZJsTE70H3u2be117QoU0saIoS/suKUoX5zOTAyricnzr1LjrXXXuXxppLzFqiEsQ+3E4SmlLXAzCK7tAcX5Catj1t6yI6B7JMRTlNMR2IoMv6MAa0b0hBPsNIn5K0phhkAsaBHb+mKgEQIe+Ye1R2BJq8sPDFG94Sk1M4296Hxolz2auFLB/JF5JnQQPt/PW7Jipja+UfbN28ODYaZwyYLc2oO0g3rWNxIPx3tSDOweyv+l9MIc3a4cZPn/3RLHJtrulprnT6fv9rx8+QbtJeqfuqShbb0e1qUgea92kSDVfizbxxIRx5xc3lUu3u9iPDf9e7o5Sjx973VsmhpDWZDL1sv1zqz9EssnpP8J/rCXmH3cl7zuIpaN6ZDzxNsk6U0fSinswmi540hb7PpfL5TIcSGg6dQNs/cRERv3Tv0ivgxBTPEMzCOCiP4RV2mcbaYOHt1FEQJPNvDpIaR7dDR4cPTkRjtLvrsgnjZr2Zu1AxvXEJx40MYq287HhHb7jmQ9vo4yEV+jUDff9rsQmY/Q0xPNYE7RTvG6vu7lxV/paVJtS65P0nlrZcrtQEXMdafQKlUkW60QMIZGefOvdTpKid/3zVogXdIlNJ3WU0D3SJlYmOKNIWnGPExK66SRAVD50JX9eVtDlJ6TEMJHxL/k8v3kazBLQzrBxaHFEe6DzTI9amTPwSjdrNznheZ7shXa48xt3M3aKnQY/eHD9bP7O7RRqGoZxV/ohO/ygm6PalGwycLZrzPv9rOd/hRlATCjeT2pjYonLkX/y4MEq4XOtg7eVMmn/kiOtP6iE7jFSV9wDa7rZH/FxiCBPZCoumQkh0xoE6Lez0mDnjzkmkw+4mcwTbZhA3aHJ/p8JAGpaRD+F0ROf+MQHaSGq0xOl589E1DQ06fZLn1qh2pTMiMGDB6tTZ8i6G1KYxp1/6piyNEFRnH5e4PT73JAiihKIHiOUpQHe14P7E5JHT6BqSuL9+eR0hqEQvLCBsiVknKvzseEoP5R4na87POyp310zvmDz2M4bmhIzbnr4KR78Q4eAg9xM4hAXpnjweSItIOOFN2v3rm0ULeE6Py3VYDDFGyLD5+TpQxFR07BssrbtFSpUm8SG8msRL7vvw0ZsNp2ajpj0V8UeP9f8UzPUfDKxJcLWr2tDypcWO2NcoXtk2fm7irQV16n0OzFpHiFZnMv1q4R8KfH5DQQZX2CPnYadfCTAw7NfrEF018PDBzd+MT567Hr7PhMevBfMQmd5AHzwlKjSZ0AcSIN3eAbh7Z3/MBH9G3j7N/0iA9z3ahLGNPtR2+5bMknvd6UoVJui/dTHlYmVP/f/1mebWPE+S52lrX9xO2WTuW1/CNHjPpekSW20/e3vSnKu4kjwvpN9F6pHCtFP5LA0AD2vUci1JORL99f2goQQfgFDcSkdgIyvPegNNq+KBMiQSeInupJxHYKeANub56CJWitpz6cx8gzv0zzxi7GDr0NPoM3dPPcbI5pkTfOtp1OkPoj7UW1KjdMfpygK8xNPL8Ure70bknr8M4pC9aOwVkkhp6Oe9UtuKDVD9MiYR+kyQf1sSuTzn6qBuyBPcIUxG5CLPwNAhlLrrpCmbS2l3RKjUt3wnqbLoW4bihJ0qMwZiDVNSCOFMnQXX9718RAWSvmsbZ0NlYkjnGELuOAnNFWHtswi5L6G5a4aAAzFf18Xb6TZlBCacUd6p8rEkc7wwHRV8teG53ZlDNjCVFFan2umRPJhnu69hPBcvab7wFLM4t6DlnqzfJSIPloOd3eo18QePL0f9r0qslS/xITS8ivRtuVP2nVXIgh/7a4d1UOixVcCN6tEFv6iqPWYUBRFifTSClU2Ex09zsIi36dhla+iKDJUnOV9K2dxBEdg5OdudqPITwFutq3vJc1PizcoMlQ0oICbTTu77MxkqZA3yEhRCHsEdNzKTFGUd6dIyoD2wMNFdslurNelpW6PBpbe3c2CVTcbuXV+2bMd6wgerr3Nn184iMitRCSQ3VhG5f898O91zLCFQWR4Ey7JVV8tNWVAmSwVJIZskL4twNJ2jzJScb4dvdWdbO9Vy4ycVE6CVpccuTC9FYuNclJSJmp+KnUNlnv2ji4rlexpcnqOoD3tPF6NzFRkuvYnv62fRb2C/gvPJTeVRfN5bOXovQPn+vfJ8TmCo/fvJT8V8nfbq7vnv2ZUh91fP0vGKj157r9IEc6ZPJGA27OlvDSQgo/Do+p4g9POIBqs0HKchB7vW5i6lS3wqmjQAPQF7FNNDtd7nUZOl9B/I+cwdaVadQYmI3Eaiw3LqAGchqS8D6O+FvVN9R99DFWUdod7NP/ckuhF5vvGBuqbgGja2UD0PFX4bs/3tqHm2Ag93rcwdZXaxy5cYkjeV17BxkDnsTQ2Bhoj+XXJaqJBC9Yovc1FnYbfp2I9gRurTmZnjdodsgAOU1ImHm0+Gaz6fbl+LFp9DsEB36q/MHpa2KsmTWtgoaPZWyO9a3JqhBLvW1g7lPcdpNc5MMlUTPeeJlYaCVpI46N03rrK/RUCY1ZhZRM8jaj8eYUBJFNRhQHcluqszvXHfH1LDAk6o3IHS+fUCCnet7B2B7RC9dxo54iKYcnLDgOhaw2qNS7WiTcQN5cPA6T7ObabfJBJP759m9QT2KiP3l8Y2xck6JhLsuWTIadG6PG+IWz9P7BH7XGMtUwim6IqDCbQmGDrkCwHaaheZWf3/UsMyXnSbVKlUfyA1NPt2Qnc+wvn1Agx3rcNkD6oGo6nUh+lQMP3R7XgQIBYx1a5rNMuFFibrsKr1LNrfsygdWY4SgxJ67hbHo7tivpjJn3wE6Db7JvNqRFSvG+tZ56dOxKVWjhk6djMT56fVjGMcHuGKLXUOMwMQeopthjMOt7VOsCOnB4BkI+0eseOdn97KuZS/FhTO39nWyyByfR/NdpKIgZN8u2W/IPDrN4e2wSlEQHcEy2jsmEcnZE6Zo7GHo4qFCRNJ1BVpGX6NgFUzNGIoSssDziW1zJVpBXKzEtgcU6NUON9aw17c/n53+SK8vPfMCUVy+KNQdyePZXgDjh3I4IbUwfHb0h9e1I9dDz2RkUV2WEVUH5F+W/MFLSR3j0I3nPq5DFj6bx1lGL3rPmOFjXCuUPN97Thu49WuWNBOFi1BVH1nVQEqaj/UC2QUyPUeN9az1fKhxHHfJFur3ftYIDsn0ulDgeDtLvO3/vWLyv1g/t09+ppOD2tPnHaZTqpWO4bSZ1E085eyj36SgD5Pw5RvkYQw4DKZTcrmVWwrhkSqluQTeB0tCqekkzBj9IJLd631jdyj1Wtca7Zs7PZmz3Y7OVrTB0OpsSQQMeNWUR3mNIT7Z9Ex32yf6zJ6mgan7Ijo1V68Dafl/acdMG/am9a7ppR+ngHturrNqUnz+ZoBFDfFFy32QlTTggC2S0DbnQNmQJB433bQAENXWvow8GUDFwIEEV/5BtGt9k9jukrFVUgjhvjOmHuxtIVmhkbOAAI4nOX+Tbam9NBGl9UMrPbMYHulsGNce0aeQKhxfu2AQJ9OJiSgSMI8N36GEWnfAdspfPWEZ3SL9ga9SOG5Hd17HhX60BUqX1Md6JLuluGhq4yBUKL920DBVuHfQVRLTh3LCgZGEygcRA9tewcIkqe7rKCXwEI+yukBBrLJAg13rfWNz8WjT6WQMq5ViDQh4OhSS0NFTSwlQy8f2BMC1SVVjIwUWEuZtA6XRgS5hW6WxL5kjB5AiHF+9ZaF71Cgaoztcps8K4ZgwQj9cxPQB0Ohlbw3efcooFdlgf6MsGPr85JHTM6oW59MXpjBkxhDEoAtcXPeJtAhQZArA51TMy70N3SopYG/RE+pXIHS1NHE8wJE3q8b2htVz8VAFDfFMrhYKKDEbzSLjUhSNV3UhF6jdB57X12aN2up+Np/PAp0qszyKMJ5ogJPd43tIlUqVbZ4QihBvSZEeFXouepolet+Ie/AuqbiDbqO6lSNzlLQo/3DW0kNenVhsKHYyWEXSG/N7v8272TvT34ttDQtYY4do0+gsuuqK3r35fDJPR439AGVWFbbKypqKii4XQO7ipJx8885CwJJd63sHnDgAYWjKkB0x05TEKK9y08X7GpSIHK0XLKfomJsHk9jzsP+9CwWIcxTbSk7Vewrjln7Nfueinh6saLizWMqeT5lemETtKXxsQ6H96CCo+MqY57/pwEESHVT5Wx+tXmuf+4/7j/uP+4/7j/WksiwOpJ/8tvZawuuP+4/7j/uP+4/zjruP/JnmZnJ3vK/U/2VM2Wxf1P9nTpVg33P9lT7n+yp35stpiI1qu/cl1mCuB2v9nig83m1LJo7t0Ck3e0IO1TdCTqNFJ2P2E5oGRPS1f4fvli65ns/xrhSu3kWZegdCGh4LvfXU1FFe3C8/Ot2Zjgys//sp57/odTkv9J9pTO8oaQjuSZ1d36SnRHi/URu2MdbObN5VOP9GWBao2zCwNHPzphUSO9e6CiitUYyN3dVAaWe8j8JHsaTOm72emZH/k5kR2JPezt3CagDzZTcMsGFjr+Ugt/G6VH2oydNxUACibqK6n8eYWQEI2Z2N2DodiUobP8T7KnpQ9g06ljx8UbRcXz9AfW0opziNRR8TxOswDHdnaG9MFmet7pEFQa4jGBdPqgZ9I+3l9YMiaZAbj4PT0EqbGCifoz4OhHl/9J9rT0h35D/6ayJiKsykHNkPonxhhPx0xR0SGMcNdQrzCldmkVAqgicYrNipzr0PHUG5KeepbzCFJj9P2oCWV+kj1lXCH80YVZ/qg3kH9TWVkTKFSuuqNaoJSJVUu+k+6UNOpHDIF8T7KnoQjgfsWTq5jqJeVJopYGk6tIvTW1bdoAQYRHxqyCdc0DbmMJFLh7y4VrBz0/0wYDYF8pFVRYAt1m78wy38bke5I9DQUmNUWppWaLOnbMSHYyhSFIsYeUtBgHm3GuQ8tV0U071AAqBK4OvCu7rI1kxAhda5h3gWtHsSO77Lkksh95n2RPM9hRr05qsGPKhHhoGc9NOn5uDQjWEfma+hq5gWRP28TqD4l3DqHcO37mxWQHkj1tIyvvwZpQ+PbIjWhN9pT7n+xpd2TH4v4ne5qNmuwp9z/ZU1mrZE+5/7j/uP+4/yJRcf+B+5/sqaxVsqfcf9x/3H/cf9x/nHXc/2RPs7GTPeX+J3t6amq2LO5/sqdLt3K4/8mecv+TPbXFEphMncDCjPsothgsNjkj5pImtedosTE5tCMO1s7qHTs+W0/G6RmzZL6CH9K4+mkEXc/UQp45cuVdkj2dty6zlArKecJI3W2gnSNhkKC1w6LvRUvWczQGaaf8ivLd7TVHbaA5j56FxlqS0BRv5zpJARzP72+o5cOCrucns3dt5TVXHibZU7rHtEu19+nuPW1t3OfpfTIA0Y+e/2Xpp68WBBq61kgqPiIQwKpxrpndDrEA1YOaaXT4COKU7tZXArEkxKS9aoH6JioJ1OjPmN1lqYkwn5W3XJQPA7FqjPVEgbWp0WRgkj1l9UjEhiBwY7fH55CiQ6j8ea/OkS+dlguBrgL7MD1A11rvLY/dDiH1ZkGFVSmM8BHWetxfZfOHIB25JMSk5cNYSaBa+PuGbCXs2CySw6MqSscqWLc8JNSq0TD0Hawq15LsKS1Ij+UTAod2XLk4+ipM6ukjF+N2reklRSYIlMf19NoaLQ2bzunJUF9W1kml2ymPx+NasJ6wyF5K52WEj1BhgapKPySsoWsNiEkpVFSoRDheohuaNrBYQq8aQ7fZNyvPkuwpC7tHas9FPqHlmFGvTNEhutb8jKIis3hqAET/Dn0k5Cn0j3KoAXjwKirSi2MCqh2i26sRtB1O9EIYBjRUYYpJtKAtKqcUUukMEmh0moK0lZdRJfSqEai+5F6SPWX2GESFlb3T06/nQq9a4sVbrHew2yF3YNYGCxFXmIC0Oxzj0inoG4JRP2IwczQSHntfIZB7SfaU2WMQhzY5Cn4G5dDsAlWsdRurwrvbCWNSY9ROMyBit0OYQev0cwkucViHnlLg3wzSJMU3XgUqKtSgV+iD2TBU/rxCOZdkTzUKpLwQRrB6ZBvn2tpqubGbeGt5EiL3U4Fab1ioPvyFUBEnemW2Q968B5cbCK5Uq5WeGTEtVGJJCOPoDLTTcZ8YjyrQUaH+Xy3VdtHAugt9MBuGAe9tiIxLsqcZ7rEtgmR9ygoTIfQIUEOesr6JMUmQg9T0qgUAjGqiTw2A4KvWzZjkQpHjyZ62uVfBLR9dI4JX8b+9ndzI8WRP2+Ar6n0xJKlrRSgme8r9T/a0O7Jjcf+TPc1GTfaU+5/sqaxVsqfcf9x/3H/cf5GouP/A/U/2VNYq2VPuP+4/7j/uP+4/zjruf7Kn2djJnnL/kz3Npk32lPuf7OnSI0vc/2RPuf/Jni6V1NJnvat1AADBX/awI0agp9/ZFu/5Ae99iHTeKm05LwbveawhWO3lSVOl7O7jsrI+Ld4OsVY2X3yzbzhz3mRvkj2tvA67av417N3p4MwTEfkosVWY4Mo/1lvV0XN80ZRvtzPI/0aE+4a5G1fWQUjJM+V9dBb6ki5NJ48ZS+eto0Q9q+a726VRxuFqvruhbz8nmBo3MqXkbpI9bZi2h/SsPBMVzSlQUQWUGBJMDcykfVxyDHM3ImppMAyIbrs/0YoboxHuGpEUghIkxMCs1k/n4KeUKT9KRw4n2dNZBev9hZnIaE5fWA+Wq5sjsPtehwMNesh5jDxO57MzhGTKCUEgB2a1fqNrZA6Zm2RPiZySRkN0Tv+msloSEc1pwUT9pSv5tmx1kMZH1NJkZxzaGsBMe+0Ox3ZVkKz3H3pLSmaemkAPTCGeSMsUMjfJngLdnt/vy4UPH70xRUWewJSKKvJ+Fc+io8U7LYurAkN/6Dsr8+xTy88hwJQTUuEGXppWumZIKvfanRiUHpihoWvmkLlJ9pR8J4sy6kekVKF4nmHAlHdTVFR0B52BAe8tZWS9yHnUO2l/hZRA46whc5PsabGl6tvJRTCl72AJdJu9M9HgWrfxyJX6aIYDeK3LqCh+Szqu1gCQcrJOHb7CANhX6IEZXDfM0ZgpZG6SPW2IE5kisPNFgGtHgasD7+p2cglRSwM7x556lvNEY2msWx44oAbc8kDJQKm7DnXMu9AD06Lb7p85xyWVx0n2NMuOMjNi89OFNvB6Op7GzxQyR8melp7WcIRQA/r4CiNTyB0lezrp1YbiRlZCZohQTPaU+5/saXdkw+L+J3uanZrsKfc/2VNZq2RPuf+4/7j/uP+4/1qvuP/A/Y9MV9YqMl3uP+4/7j/uP+6/yBTc/2RPs7GTPeX+J3uaTZvsKfc/2dOlR5a4/8mecv+TPZ3UnqPFxn+U/jKjBUfAXFTaSurY8aHHUOm2vI0qd7B00OROA3N6BmX8TRYo2dMRm9/hRViLmaORbCHZ9IuwZP371Op/53A139XytSVJJI2jM9YbthhLZdDkTgN7mrIaTUVGS/4n2VNip0j3d0PT9pBaqB7UzIiNq1If9WQgpCN5ZnW3vhLrLK52M0TldivjP0pHJijZ0xPdM3HhxyKYsASmelWNkmjSchaoKsjkmQml72anNh+O/JxYp8dXDEwpw2SBkj2tiCtU5DbrCVy9Zx3E3uQZ8NXTqzckj70vSIrn6Q+s9d6GMASwDmrOODmgZE8Rde9IhsRVqlPeG6d/k2MeRn73IC6u30Bznqh4HpfdBGIbx7ofUJ0Z5H+SPa2vBYhJgIrJgW7vt5DYrPUZ1EzoS/qjC2cB+Z9kT1c+rlzMKlgzXLLytD1wOis0E6bSsSuPeSVq7WpyFVO9pDyGsTTW+wtnnPxPsqfF1qq1VJ+ywPRtQtLtZ88ptkDebGRx52DfZVJTlFpqtqhjx4wgUP1k+Lik8j/JntLDhHy4mRJjkg49QxtoGp3T20KGyR8lezrN5t2OQvrfp9/7NpFhckjJni6VMikUJalrI8MiN5M95f4ne9od2bC4/8meZqcme8r9T/ZU1irZU+4/7j/uP+4/7r/WK+4/cP+TPZW1SvaU+4/7j/uP+4/7LzIF9z/Z02zsZE+5/8meZtMme8r9T/Z06ZE77n+yp9z/ZE8RwP31Hak1skM+xeodOz7bVdI3s0M+DbouqWV6BskiJXsKx/RaKbVMdq0BM+RTlF9R/rGaozbQnMcM+TTouvjnPNnRVBmkZE/hmeWTNYiYIZ8So1cPamaHfEpMT60LGfKpDFKypwAkzJBPCc9MUGFVdk5K1PQEKuRTeaNkT1nYIZ+iPB6Pa8HeL5jJvtHTM/QZ1CxvlOwpEzPkU6LPq7mJ4cyQT+mD0jBUD2qWN0r2lIkZ8im5Z7M2WIgZ8ikee18hkDlK9vRovZ1ozJBPCTNonX4uzCv0QWkIVMinMkfJno4qQKojMUM+JW/ew6GCeRf6oDQMVzd3o5xRsqfMvjIW8imrpSAhn8oJJHvaphnyqaxAsqdtmCGfRpgme8r9T/a0O7Jhcf+TPc1OTfaU+5/sqaxVsqfcf9x/3H/cf9x/rVfcf+D+J3sqa5XsKfcf9x/3H/cf919kCu5/sqfZ2Mmecv+TPc2mTfaU+5/s6dIjd9z/ZE+5/8meBnC73/xfbDanlkVZzjHydSJYsqcFzpn/y69yx6FKfLfZUzTr8AN9fQNRz3vbQni9ZMvvw56S2eXAYKK15JGuEyhOHpfFBbu7tyTy7NsagtVenkS03aV2ptYAQKWtJGJFF7+lDcvoJHv6f41w/XLPun5SIbEVND5qzjvwOAbYyZ52m9nMs7cO73oe+O5qgPUEbh2++xY6eoo1Y1Q9Taukvt2WrQ7OPBR8dx31jtB8c6mSMeMjUHxBZ+eb0zlTrBmLdknJ88voLPQlXZpOHjOWzltHKXbPmu9oUSPc98v3tHE1J5gat2xOsqfVGmcXBo7eBk1y4Z46rt2QgDCMceJWHdtN2wOoXLYzZtpfIYAKC9Rrn3lqoMScrTcwFjXSuwe1gdSpaHYwAqejlecQoKKqZOYrBlw3GOGukcwqWNcMCbUsoAY9nYOfkoxOsqcomKgviCqRMJM9jZINHf3oWOu95Ynqm3BoRri2BADF87jd+J82f12sClTqHl1YPgJr6UXOAxq6Bt4p9d3QlTDlhCCQy8JakBtdQ0Yn2VOMedw9WOhkT1l90JkjAACWeqF3sC+bftZBtcYpA/eOUN/YC7BzRMExjQbRTNpHX63qv90Yga1k5qkJ9LIwjLt2jXxOsqfOddx6bzAv6GRPyV0ZiQgAnPF/Y4FbFahrrv53zwUoFVSqm+qH9JAg9T56q3ZpZGdSOZa5dpbKvXZnLQfrfkRbMjjJnrLe2ZjJnuLQJgQQtTRYA34sGu2WF7lvsogS2OSefSUgOtFClT9zYSmGSn+ZAzUAUlUBQPEFOQ2VMO2vkBJoHAK5nGRPP4men4shCHayp6WCcisCU4lH9QvgfsVf84ix3Ox9i9/SaMDtXWln2Iey8pYL5wkL5AEgLoDlrEWLX8i8URtratQ+9IRgXqGXhcF1wxyNMjnJnpLxInStYQiS7Cm2v2MtNYfYpcsQGfupnuubvp1c7Env5N2csvQ3WM6cdftrvOQZQfPho9WgBWvXtRGYwhBkO62QBnotBuZd6GWhRS0NHIrkcpI9zYTqlbaXYx4Pfk5Eq/5NtWQjnZiLkpE1GLF577NDW5b1dDyNLxOU7CkAwHdHI7KkSk9rOEKoAX1mjBRP9rTNvib1TQ7FjawUiZjsKfc/2dPuyI7F/U/2NBs12VPuf7KnslbJnnL/cf9x/3H/cf+1XnH/gfuf7KmsVbKn3H/cf9x/3H+Gnhyz1LnC8uWU/aKokQRynFLniiiQc5Q6VwSCHKTUuSIO5CilzhVxIBwjda6wSWEjqXMFzbLT/V4/n2jJHt8egGMmogVEv/7hNZI+BWvU72yLiYiGqzHIOWCf1NtInCHoyqSW6RmUpcJ1ztZxGEnqXIOamXre6RDqzGSnYxUsLJAnOj+tlF+Q3rRVXFE+Pepy30hswZL0hGAbR2fsTsQZgq7MNz3Z0dQsFJ5zto7DP1LnCoHU9hgqKpf1OAYqf14h4NjOzm7p4/BtPlkDbb5hYNdM2sctL0p/yTPrGCqhUh/1ZJAQ8zNWBt3er9utrBMGc7aOw1NS5wpB8aOZeHKk2+Dk71NRYYGqoqee5TzpP3qte1YBgKHcYXtSTg/9ZVmu7lFUNGhB64W3uWSw0kTvwGKijbkbCdT8NGmIrBIOc7aOw1NS5wrBUh+pEaejkbEOQ39oemXc6DBggF7kPD8WQYdV2QrMFYz8cueaVI8H/2Do5d9U1iQqMSRVCDRo4RxCpCMISBniSOj5GQJYBzWHLZ2t47CU1LlCEl3QoE3RNXaokxIeGV2wbnngRi+rzL+nOUP/EEJKqviIJeZsiorsopPPgFE92ToMA1A8j8tuAj0/Q/Wg5nCls3UcXpI6V4Y0TDs/2cnVze1aYc8qRhes1DNTVHSNC+SxkC+GGJdOLClqabIvgulLeux9hSBc6Wwdh6GkzhUqKV+uE+0gmkn7aB2HzoDrBukjZtI+pjtFip2reraFUWApsAZIA7TiHCIRwDVjBq3ThcwrdCjpDGNprPcXDls6W8dhL6lzUae0V4yBSyuUXZ4vX9p7zbeNISh+S50BYL4JSUTsXNi+IOWufvPd9aDYh1oDEj0Ek1N6pgWmkjQGDjPvQoeSTqD6CV86W8fhJalzZd157I0OJsNFz0i7JcYkHXoCQPD5p9E5va2wo7N1HIaVOtc0m3c7QghVqY/6NsOZfpRO+FTqXEulTApFSeraCGcS7pU6VziTHK/UucL45ZSlzsWZ/iUmcshS55Kx+kVRuf+4/7j/5ERx/4H7n4iErFUiEtx/3H/cf5w33P+oSfgAUZNw/6MmiYiJmoT7HzUJxz9qEkZcJI5YfWMD5cOC9bpUUksWG5J8WadVSo9ElidqkhW+X35yjR9/MlGQXiuvw66af423p4MzMLmVSo9EpidqkgOuXVM+TExhg5iB0DBtYDG6zb7ZVio9EpmeqEnGXbuGSmFD6pWuWV++v3CrlR6J/E7UJD/UX8m/ybtunYWFqBQ2JPVlZZ1UUTdjkqOh1UqPRH4napIHsOnU8YVcrEqeenGCB6+iIr04JgC6Pb/fl4tWKz0SuZ6oSZgAgH5vtdIjkc2JmiTDih/tdqT3Vis9EtmcqEkyrEEDQOSz0WqlRyKTEzVJZlUrlh5JhH/UJG206ZFE+kdN0iabHokMa9Qk3P+oSbJloybh/kdNImcVNQn3H/cf918bGO4/cP8TkZC1SkSC+4/7j/uP+4/7j/uPf845kycScHu2lJcGbt7hUf1bTjuDaKiSd0qda+VlVDTE+wKHNjlc73UaQck7/aKopbeWh/k+6zJqiSGpQtTXor6p3rvqGKpIPHHHDVX0OYiubwKi7YDoeap4c/neNlR5pNS5Kn/mwiVv5zkJNtaNpbEx0BgVw9CgBWuU3uaiTsPvU7GewM1O3+AmrNDocxDtx6LV5xC4bnir/sLoaWGv+moNLHT8UkZ618gjpc5V3neQXucPYCqme8/1GwnnMD5xDrT3VwiMWUWfg+jisy8M4L45q3P9MV/fkoGdUbmDpeWRUuc64Ed8lXaOqBiWvOwwELrWoPorkyfVt6GKcZZ8HdtNPsikH9++Tep5Q/ro/YWxfUGCjrkkWz6ZTFLqXKW3Zo96BNYyiWyKqjCYQGMJ4xxED9Wr/MP7l3zoZ/+QjeIHpJ5uz+7X+wvLI6XOVfnbXub3R/VfESDWsVUue/8osDZdxTgH0SVf6WiWh2O7ov6Y6eVOIIXsEsaSOtekR2ex8R8dcQgCuO3de+NmThU+lUnXY8/RiOhEy6hsGOfadMwcjT0cVaxzEF0xRyOGrrA8cP1apoq0Qt1dYHH4SupcIza/w4uwFjNHYwgc80opmzlV2FcmXW0BhHJ6o4Go/1BtmErqXPTmkHHq2eub0pE8s6aOpS7WZwwVSLtUi161dIfhYZl0AeE4qXOd6J6JC/KIMxZx6o2z2fhJfp+Kco9jsDoMD8ukCwi/SZ2rIq7MCKKHhm0MQU8NO5bA6WhkrBMxOwwPy6QLYTipcyHq3lHH0/hED3SWQKXzkoYBDYTwsEy6wm9S56qvBYjmAWRAeFgmXeE3qXOtfFy5mFWwZnhGhYdl0oWwm9S5in+UlupTFpi+TWRUhjPpCptKTz78JnWu+k5quFgmXdWDmsmjCQaRs5g6V5tWJl1hVOnJ5wSmztWGlUlXOFV68uFJqXOFh6UnH6aUOldYWHry4Uqpc4WFpScfrvRLTISHpScfppQ6V8R5evIRIdVPlbH61ea5/8KybfA5bvrJ/fsfg3nS//LbCDAAAA==)

| Step | Objective | Details | Artifacts generated |
| --- | --- | --- | --- |
| Notebook 1 | Adapt and optimize the Hugging Face PyTorch model for Qualcomm hardware. | <ol class="arabic simple"><br><li><p>Load base model from HuggingFace.</p></li><br><li><p>Apply AIMET Transformation for – Graph Optimizations, Computing encodings using techniques like Sequential MSE, and AdaRound.</p></li><br><li><p>Export optimized model to ONNX format along with AIMET encodings. AI Hub path simplifies the workflow by hosting pre-computed encodings from this step on cloud platforms.</p></li><br></ol> | <ul class="simple"><br><li><p>Onnx models</p></li><br><li><p>AIMET encodings</p></li><br><li><p>Profiling reports</p></li><br></ul> |
| Notebook 2 | Convert ONNX models to Qualcomm AI Engine Direct (QNN) binaries | <ol class="arabic simple" start="4"><br><li><p>Use Qualcomm AI Runtime SDK tools to generate serialized binaries from Onnx models generated in Notebook 1.</p></li><br><li><p>Create context binaries for prompt and token generation.</p></li><br><li><p>Validate model conversion with profiling metrics.</p></li><br></ol> | QAIRT binaries for Inference |
| Notebook 3 | Run the prepared model on Qualcomm-based devices. | <ol class="arabic simple" start="7"><br><li><p>Transfer binaries and configuration files to the target device.</p></li><br><li><p>Use Genie-CLI or QAIRT runtime APIs for inference.</p></li><br><li><p>Validate performance (latency, throughput), and accuracy.</p></li><br></ol> | On-target model inference |

Last Published: May 14, 2026

[Previous Topic
Prepare a GenAI model using AI Hub](https://docs.qualcomm.com/bundle/publicresource/80-80022-15B/topics/genai-prepare-ai-hub.md) [Next Topic
Run a Generative AI (GenAI) model](https://docs.qualcomm.com/bundle/publicresource/80-80022-15B/topics/run-genai-model.md)