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Y8Fnmwsg0IkyykzXH1ITYF5pWGu0ktLzkyY7+y+o+ofRLNel4Ja2hdaOef3xqhDlvubABX\/SmQ3Iegzx7DGksIW\/Jk8JYJChroqJXtCsuHY\/onGn1MpXYCKtHdIG1Dz0fVdVsdnI4AWFFzzOYCqtoWEoGlHSCedUNZUbQpwvbhQydzIzm\/URpZNegHjhAi8jn3QEpXshmeKgbvxCpAN1eOmucS\/gozOBbBUilQTqN5HKqP+2j3UueJkmeR+U2lBcD8lK0aPxDt6uX6xO31ainEK9CXfpFaM5i40lod8moDL7630HAn8YKy98NmJJ6eGGXvP7XcJcdQFs38nyQa9foMOFyrU8ZIBKq9BWgkC0VkFVSLipNCNSyzyt5U1D8dwoHsLmk0flDUTKBpZHdmfFLEE0rmFEDa3tc+oIz9li\/NaKrdktB19658wIBPruuN3wLcV2yR2wxHobRiZ4MhLvfo\/BmtdnjKxdVytrq2IM69iFN9rzSxNACoGAG13O81fO+sOpqwfiUXhyNr8aVs9Go4p8yfNdxca5Q4VvjHlVKIJOu3OFYUY8tCc2+PSSiZgg4urjUO\/EBlb3x6qTC\/0gU7Q3rVT0EH2gph7CpY4PhXvs1SzY7reJgWxrVlZ+D4UOsA\/U5aDThau+QBJCyW7h+CPmiQKIYNGgb5RCAzyuKdzVMFM8nFGtgT1Xq7WdHdVccA0FGDKpEJFXT0rMz3d8+mYI+z1I63dwhkrp6RSoYT17FEbZf4W4K87TtnR304Wjjbl2bFuwx2r8kTdzvlGOc+iIi0LvV1sDhvqMhLim10hUVhTOsJu2CJzoJB0D8nUQ5HbW0oTceZiUt\/u0WJ\/RaEaxejOCcSlhR7JXzl7ZbIreo5E7zc9AzeClblWPuCx1xTCkzQap2sO3\/iUNHS0Qb7tuEUJo7+dIDKEXoOmnsu4ZCJFs3tRYN6s7gBML\/cwWfpulguM38Qs8FTljWkFWwfSOnKKFa9U0IJy62dPvLmO+Vv60or8i+BXfDYyO\/HRN74f0UsV8ImZKv4pr9dJnKzL64LhgcYDk4Ug8rbTamPzqHJW0S7jhJB4rh0t0TzYkmvi5T3+PBY0ACWA\/sHW+UG48ldiJWyj47PK+0eg7benY3qhjAz4kPtPoK2iYe6k46\/o9Y4Iv\/bgJvIwdhahzMAzZL\/hXHA+wfIhF61tsd3+5Jj2YnxzUcI478y0Et5YSg2gMB2+yAicdpwgVitIQV\/swa4gtyT1s1xm+VrJtohgN9yUGnDaMixtBtS271jfiHXC+snw1PaV94kr7sOi8fMznEzcHufaSZfHGcMJzIFLwoYJfKNTxjs2lDR+7uZZRwhT6obYmkARzCgtcDfWY92EzS6DltrPw2a0X7sT2Q52mcwXRaocg9opW0FnP7+M8spB0Nq1M+8vLzUi6tcbkosJVm\/zLAB496AlWx3Fr086pkPAlNwrddPVUMWsMJfOLQdiExTO+cxefMnwaTmiKGWyZayuKS044ypZ8X3mAsLjZj2i0eEjpKxEIBigYlV47SrcLk28acBaW4BTnfZ\/r4oQFejYRIjCPt8OHP0Qf2FEAFnfUbgx0YyfaR48mtrtbmXotO+tYdHMeeEURzsKyr85S+r6NeN6G5h6YCn\/+CmRdg+ASSsz18QFzROkBBkouEdBbKrip2n8tl03ugdXlryEEhfkjfeANq1c1Zfv\/7yzJOkNtWbfXzbOco4IuiS4\/idEFcgr0r8hwMXRcDUmRKeOhyIWVdQTHUH4xviPcin\/SEQ8BdRAVdB8eewWJXndT8dix6B8X0TK587EUTtjcW4yYJ5kWISfTR7Y3L23iVAhszebLxX\/21Eq0qEeRQ0M8hRhAk9zwYnntQeJIbTcOtZQp2+5Rkf6gsmyw7Yq2k9XqsLuj7QAwwgwwAtrg15KMHDyOazAVV\/SYLh8Yb92CWpHkYPlo3Qa\/ABe5foIOerXwBkzECBIWQF0ndm7r+k5\/UX4Lqx9ypIm+PnwNjT\/+4FMmrWpmFDVv4aqiGALYFf45uFKn+dSz4vE1PAFzMKH\/FFPWqyJPXfQmSyYU+IXPNLe0KQz1+umF4V8fHPIiIui6HmPr7CyUaj7xbfFytyUBZptllnBL673UW8\/ZNCgWFsBsj1BoHHgVM7SnywZlO7o\/EvDKH7yRBTePkynV8wSugDpxC1cstNkvovgHEWJI6BhqMoXbyyAkbP++BSzAtoFUJ6OzrRooATt1cKdiX1zNeuvovbiR3dhumeqeaomRGmAClDY0mC2iNgG5Kqgb\/+dzk+o\/DuJKWOBcPeSvaxCT\/Y8uzbpT+EC4jVuTvK7IN97oPMeBZrqtHXjfsMz8XA0oq0y5SqtWU2VqHMZQC7LR9oUhvsPZl6Z\/OLgAEB9tVGgvzDZFE5+H0S2l3WmLLTzYcnhyJ5wDIbuQSSU4TkGj3VKM6AiaYYCnC+p59i8poW8eNOAH\/mMVuqCC7Nmz5bD7KKKohiLIfi0ACTaiN4OL2cy2oPQjeix0zmOfLrPwjTM7txKKkNIJn0PANa\/QZjcqNtkWpWm7cd0XjXksH\/FgcEZBZE8Ac0d\/EIio5GxBgBrbudlnoxGAppq5Z7Ek8KYlZGbbdGRPq\/jYdtJ\/GJTaDQVcgjVuqIVTzmidSgT4CqGSUemqLmYBMC4ZOCOKNdsnNtMzi4WE0asT9BR15csR4UTo5baqgKliGy+ktp\/Qo1xRx2k\/oUXSZyV2x5KujpN1i1G0E7OUhXVIZCLIN6ebPKGpTv4A0NjsUHILBP0PEs5pWZNRmGP5CLl9EzaqSu+hkvrUKwMDmGCiRLGjtmuuhdEP3IAlL31YJC0tF+C2KICgk5AjRCCTroz7pGodZyVLJndNWCtuV+c8wI1uqmTmJTA8XveCuvd16Jsj\/z+4CnnuhCyzjzFZiu8djQOHni2LzZCdgoz7yoM+EgnF0pF0Id2nDO1GYWsjRvFgEQSY0doqZvMdu5I\/ZWMFQrRsz5ZIuc2TWShNuoLirp3b3EBq2C5OuBFYBlmR5UIiMb4KaOwwD+uptkR10u0GzKz8j3G\/8ZWIHNp\/HJAPejutUAGhSvR5oH\/lda01uncVBsfCnyaFGFSzxzbjhJGDDqJMR\/aA8TO\/7ra6sczSVFQ300mmstQRsK+hvoY84wOG0mtCKF1PMMJIkfJz9L3Cr3Jk9R901Cg+FRLj4WLabllDwOGKd4TW8W1QMi7pdYBnlIa55aFRjUOUVmi87Di6RMTJYV5ySWvIeqiCZ8Zv2VQcHaiEkPLhvs\/SzX\/zrM0cubmJ5lcsLrQWAsNjMy8ofUp\/u\/fTtOTu+rLl9hpygA6ICxF\/hM+1JsjecovAVXhGLN9lkfGgF1jsny4Frm+i+4cfhu6pEyIxKlKU9CaMCEClxEKtnqNLt6pObIU2a1vhsG4IOgGRpnyXTHfZ8LjrF3TXo8cRXtW58RFL1NE7+uT6gTjU8Xlasw\/dH9rULHdWk3Wh8ar9avhMkFHj3hl\/jFP\/EaAI3xO1pn5My1K0d+SRK6Mn\/DrSVtwpEIpC+Mw\/MKxQrLocu6FPmBNPGjv5fCiXqmzJ05NpjmT\/8unmPtNOPHVX8lVTQQFN3vbbW5BimYrlLfM6wnZv8xBkZ\/yzI4A1f9hHAdTy2nqbfSgyLliKooEfVRA12yGanzvb7vLB8FiEkVa6+u\/K6h3x97etFDElO\/IJH5CnXO0fnIa7xR3I4uwlx0OfXLNlzTsF4jEMK038YbIXmWjf0U0pkUybAPZNqecJEifxYTNriTVsfrV2sr41o5TJ\/sjD8nE3HdrS0ABjrbThnftssctja+Iv6L96XcigH\/SRTKHQWJ8TdGIPQVmQ7gzc9pRXnn5yAuy4uiUCf69mUOFFZZZaiuaYAeJmk0DvxPanuH\/uakWJYIi2dTl\/cQmQDQzBh0IHBvppyi8EelGQHB8WIejS7JJWnMp90ZmCHPYxWEius9hxWjUfHzU94DKEvGT\/mAG0NkIgKEeRd144Zh22W+bj9xfeWnmHBVIv\/9wck60BBdG0LgNHMgzTt9xci5snKTwgrD8efQWKT0bOp\/z5aKToJ4DXvBBsTgMeI+bMR0bjd\/4Vs4VxoGjPHazhxT1ZxfN9Cwn0E1PU18G8yacB0rrI3\/76s6gc7UvH89A6J\/Q7S7CRQe8wKePn\/vhPsFv7oA6u4Z4LakagTVSPtrYl1WWBp14tvA+00MgYGWqajepghtzxF+bbaJ0OC2hg3ojro9+CpGXcXQE8SX3U\/wsQHlsVT912+gknYjU\/Y3\/MytXggzVkKEXKIQop3JdMCw7tPQDxEEZlsvm2oUrNyk6yovCwOsGx2izClSPbWwO0Dp8dZqXNEhcN5NnoD6lk3cLhGvsV9Xes\/0lS0ijKIKAhV7NLFZHcd3CNIH6KsOmdCSzFKUUe2WssL1hWWRJhZCFbg4BRjQb3yx+e5p9L12XnRBpPmEjLC7NK2HL\/\/8Ed4RmOxp8HUxek3Jn9GW0CecPBAOu8Zfpb9\/6uYXL4HKsDA1N42ruK5PgtKZv0b\/mWIA+YmUZ3RTSu21Y2oGLrTDB582w7f1yJagt+7+v1zm8Gg7QS++6QUGU5ccLtICBwcxMH9u9Zfxxv8d\/0tD3qk9V+c9bpPLYVDeNhTUq\/HKIAeIzDnKrJ6jvSYb5vZVbT9RjEb\/AYBXL+7PpVbCGN345Ccp5TdQrZFtxPkGZWexMO5zwSOgY9qamziAb5XN\/YSjTvSif3IBqRJjZwv9WHG2pOx+Q40syAXdjNV\/vHfgOS9sZ8BLcp\/VojPb6vnWfz5l6B5OqarSzA4OWCrdFXtkZytWzxQTPKdtrdgrlT5C\/3DObEWUIO4h82eXmWsYAZcr\/Q8MVsBr8hSJA8YhR8DvlOWV6EdXpxN08\/kIxKpThqKmPYkwTs\/XLFsl4RRQahd16ZiN3t2S0jR4FLq3iKI70SyJuLuECxXiRBh5giONkAyAS7xohp0s4qi1fU4gaM0CYmvqzjPWLnegbqRa3+TNKw5iPZ+\/xr1CSXKk+7LvGB6jK9Cdp\/LBdJq5kJDC3jQxED\/qE2VVnhNtHPRDpVaeQur9r6Lz3pmYJxrsE7cK9z0IhQfvzuybQTC7TpRIoKG1vjN8aJe8\/TAeUILMeV\/CM+WFIxKKnYUscmdB5ZNn6M\/n00KllJfAsOKRb\/\/2Sp1m7OV7aPbwmjHLmW3QFf9Ls1wqKm+Awj+Z1SVOV9XtSQu96XczQjvVDisJnbOgy50GMD\/a5BOxmMUplgsYmDxuL4CrZ88\/etoEvuRCLzVHJUNSTf1dl0lHfccf+sbGcisV4Yx\/6TgIzCT\/+F6alhh\/8PSAq\/BrUjC2IdWFYep9LPkIkdbLJ0hG+1oC13LSGfUq\/78LM6gmv\/4TpDyvbZSSGT0fIvnfDzhlNIGGzTtX8Ig9VNQZ5j970WgI3H5c2b7skaar1oQu3EUGFICnMADhswph2F2zjr30O\/NlfGMeW3K3xN1uXjHdaTRgkpvM+6L\/ACHzAUn4EBol6DsYdxL5wdh+G\/e5LKmgZwCVPIqSIKDe6mfgH0kmEciKKJ+hOagvFBXlQvB2hCQS95cR2wZoTRp4Wvy8I1ahsXiU6onn00Zk37S201H27JklgT\/ee\/DgZOg1BXKs5\/4ipU68d7ZWE2FPk++X0Oue2BKsxWrlJincpMCdV9\/0qTXXlkykTU5jcdO76cC5ATdqOSa33H4hlgA6H4q\/HAMH8DUmL6DXfzz6Gr1D9CiUoxX3NkhUX34rozSxPXOnhYQ3ChnH\/2XPuMst\/QhV4zduFIKDL9UfZlEK7wHNbIq5PbgLSUVNg63G7aberoVUgfEeoGsIlV54CsWkStdXlUpbIOWrUvxunlNEu2N48Xtceumj9ebXscvFkxOhPkgjL3uppd5jilhPXgbCojl6TQIzcjC1prVJn8mHpZsDQRy9I+1wxrhaKR8MuCu3MtkihWyrz31VfjLkOrxLG3gEG3RJRmxhfstrfEBtcJmI+3veRVcnUXcUcLQq9OrOOO6+GcoGH7fEjjeT04zk6TaGNgqEsGrdnpC7FmGBwFkF59C\/kOtttlFcuiSBJmLwffp9PNe0fCTdeMu5pkrEoqTdK3sFCBZk998vvG4Uz+f++WBUbmvUufGwlJb9\/Pc5pfN0JuyxpDpFZS\/+cMdPJtFxxHnJb8sih86ZkUzmU6PxRcjj0Xiz3QnozibOA+t2yvQVkd+ZlK2AMae3TKdgHDWHeCGBCC1mw5fNxZHQ66bsG1LcZ2ici\/RLf92hY9rGBpnGkxBZbQkf0J9GaKhHgVpESxMOD3lpZWuKs2Su+g6EYK8znaQkawU41+mGamwDrfaxV3ExpA4IaEQrmCXO0Wt\/709PPDoZJxI7skpSilIJHrBS5wKYxjxxQ+pMW9fAbNdMb5\/\/henQWVKpSUgKsmSUj5SuiNyp2QMnNE7po4owZ+YGV0FsKxenISz5Aao+U3HEl1BAswDe0QDMSsjndC3xU\/9XAk36x9+88dbZpHo3ycVyPRY6IpOGFyRg85IBmEPO3GcFDm\/KxAx5Q02e57l60OOgFR1HQhAiZMnR7cEqsA2FSgUTwYEGO63OWjdxrfPK4vW9nwJaNW0wRaLHLp07yfOktX6+BS\/s8cNb7bbxxnn1r9j2kNOJJGhA2fsAmnDrPPOBo+a73M1X4vv2hG\/leRuS6Ev7jQ0yKdPDro8JMJMzKE7eOJAuKq\/angVaz\/puId9FzrFlOHQurWVLUeC6ASDZyedfbEy2KProS\/dm0hQM84vEM7KgAiVUaT12VFo1WijXaZsd1cZTg\/pvb6jXEGD0MRAZRffpExLS4tKkmo5QZ5d+2C0fUvotltd7oiasjDRmd78o87NDpRXy4RePEX8vS2O8CLcB7qKvLP3FVpZjx1GDwYBcNWfw8lBFzA3J9qX8D+mmLy8JheIF69+bGYLqhuQkb2JxOsCKc488VTFpzUkEZUrJjAloxVn1NBQOKXQI0PVSz8ps2MJLyvzb5zsm0djdFjPmcCcH9fcxP1tJ6qYYWMYliXmIQOgsw1DjFNcuK2bUcWmKZEgyp7rUzdFKG\/Bsj8DKIWHcAmA0hwb2kW76Po+8T8yoA3s1cRSG9lKz5MpAfashPn5bHl7laBZXjQnBpWZJyMDIxyspCFfI4NpV9RCEVD+SYaLPHvyz4zdBJ+ugZ7RI6SMvAy6MG4PcLP+2K38STaqiqGyX\/IogdlGFSkkwsNG9kkfP\/+LWiEyWd9L8VadWpHo9reKqRX6ilepLM6KpEQquFAyoKllzLwhzhe4ioZJ9jmP2C90bExKLcsv4w8ynLBe70mhTQrYgGIFLM1DF509\/ZV6OhIVAFGq\/Evd5pRtCXFBAtmVqqfsV6mxNKHwYmP9aQtgVq6a+cn+bQZs8haz+RwM23kYUL0P\/r7aTnRCaYw2n\/F\/2iGQVa\/CeJtqTFr3D7JyDcAwerCCfWEOb4j5p6RB+N4Et0arU3kq\/0odYNdUHTVPHjKhU9bwLm29JrHvyv3MVBYaHlMk2uOgd0QegkGu\/QDmPOirZolWqM8c\/F7ByFPfdNjLgrr+Yelz1FrUvz\/hh8UawgWYGcv6xaOR8r0G3HcJfZXH8M4XgDR06gosPiaeofMO\/\/Mp14y4\/3i9CW13dkRfFxfqL1IjTh2g1UnnRh6rAz9Qj+ht8B28EmuI8bD1OZm0bfMqvIM\/4gaWls\/CpKxqSVPqfbYwj1gQkPp1glL2UIpbAILdq3ba1u4CwzEPu1\/\/8L082KwtTypLsqtxsv8vlsgoX10SMEMPO5zUvmx8iAXHoyBD60ewcrvcWSVog5PWfBGnjR+Jizi+5TNjtR\/VyZ4VoPqrbQ4tThb1BJtT94FTi3ALrs0eFRPlgWPrm21OPqRv5vLlzmdD0nOmHOUa4+avKx3gR8wmdchGmJz1EhboX4pMz9bPGGKO1dZ9GsCG6VG34Wv0h52DO4FcVfMwcshteBOM74kLcV5dJAlaQwZ2EhLh302FG71p+J4guhM9Cz86v\/3dWeXKASiJRHmLJ9Jc7QUYk4My5d7JzFG6FRllSuYWLzD6EHCTF4BCnJp3aNM9Y6JOYOX9r2pg6Br\/vnpYg\/7ex641skC0udZoIB6e8S5oxvPCdYRtHuFGTBMAADeOgAglxjyOg37bN\/QPGXfrou59SDmlbq7fG9AMH2L78K0DVriGLv5t0S4is+2pABJY8KbpoBMw6CW7S8wfl5lN7qYKzs5maThuOyV1LT7WHGBPxBfrmljUiIDFJBW0452REZOwqWquuzyvaDcM362auKCD3EPDaRVP12l8xtmZ1fJ6A3VgehZgH5woRqEza7ttPE4xpZenU4tXzl\/D4jmSbrlxhOOcN72yd7QqGtVpjdN\/xW2gv3kMzO3ALTnmUmxjFy2tMOKX+EmmHchwojdjUDKKMKADrDIUiejG6ZwHMQBJIUNCwAClzeUmbgzRKpp38xVa3m6PGccxqaV81Mf+meg83cTaB6p7Z4pv\/TIq785Z2UX2SYNfmPAQBGuKjj0AwX4b4+34td6LVm+Ct6O8WMDYTywGvFc2aegfA9sNXvrsMuscAdlNAFkHTqjyI\/hVdflGsSqzO2V3FhwgMoBkLbgV51zwM1df\/tzVJlBtUobDZzrUrAqxLI5MEVRiDmU7hhJBGgxdS2fkHGlR9OJiVyWSwbEFo+62nZciPe0Zl8x8iksY0n3d+EfooHAhSwJrrepdoQiYEA\/yDm0AvqeUL2IWoUdIDS\/kHYmAtfCUvlBVKQztVxxa3Js+2I8GFLyqZ4loQDJ7yWnuJcuIEHoe72GCfA5RTG5qX5u97gVcego\/kezW3K4gBXP2h8YDHenAtOP5vrYU2ex3VB9hOvj3t\/JNrPRiYFS7fmJVmhcIqMrpUrndmhaNYxw2o9hNJkH28B2TsGaIfGliR7Pjz55Jt+DZRRR2FJi7yc0WznRWM4o7KxsUAbddvhyE6xsxbCq3n5oeRi3DaGxDrOoC8TeVJhKeXxRISdwPa6QVQ1b0TUAxwPXjIQFvcn6E7e\/cSqsRt5FRrKs4BdX7cbut8CQjVJOg3lgJivPTwig07S2f85hsnF+Zi0oB0Hj7oS7anBHjTRJ1xvaH9n2Sb6fPtKZiL7B12p3y75v13aYCJNebYKNgF029VeePx5eljEJ4050Y4jwas1QcITXDKxz\/I81FusWyMECJW8Berna86pSEVoho\/ZSLbXPbMFNh39WzxmxU70DueQkQUr01Qcug4Fi1txT\/yrN9B5LkH4K+VYgQNHJlxWUBumRLr0Kw2iDFOjqNwzbZPU9kO0JZLRBHY9Edaz9B5i\/xVyEVjM6A4LREmLy1YwXjiWXJLZ3Yk3RqtIyQ3d8d\/x7OGqWWqJHGDb2FdVwjyzmXdUkvQuwmrd1f17J5r+RvDNYiirxE\/sMNhWBwbI+16O3OoDGlw8NcbpoJXs5n7XWdHL5NSgFMLn8Patim8\/fgKzC8iQcg+9nyGOr+N0cQy77dYOIKlwfz39L+pIBHm1rVjBAT2dU+La+9JfwvICz\/Z1f5tUelr4ALNs8r2dLAHwqpXCCniGbTYoK9lWYx8oc6M9AeroGdZYtLNm4eZIlhD2RN\/gUmavdh2mB0K0+iUQTJbIlypiedjiT0kF0l7jN0fbDBg47\/GrARtWR2KbLucNsfhkOhtSZq8\/uQC+hMnOQFesm+sZAFcTk75B+IeWq8rXm013vUKx+2h+zLHQZr97mPL+HOmM6GHITi5bpJMwFesgyVJllp8Q+Try+99ukMNVSbwiG1K6DBGzlPBe7rDR7idgP37kerirallKWdq5+ca6mxmVQFWScCuxH5JJhP71ITd8MGLpLBYghzmpWf41dnHq38t+0vs77F\/3qGTg5HNE8TIQeDx6sMGpx+93MEthqdOmzRk1M3XgA+WGokwyDwrPZJHtKvpgB+KYGVQoxFPi3fReqOya4zCls7lyTM31yuVC2WYTZU+FWT4XrMPbq\/bzUV5ZtJwo6m4\/Xbs8+eDzIjQ20NHylKu5vY9E2mShvcYLp3yBzQgBRgTxn5P222EHey0E3CuzbZNRgU6ZjbECn5NYDgHLvE\/qxSiLCFRsM1vHzxKDCNsv2MwTsFOi2VcBSF0oB7eIlzhMDikENh82AoFH7vjIP4aNmOnbkMN6ru9x1KvlPE+eTSIQ1MCUwPKqjDxExZ4E0F\/NNFGPhhmmAZ5aQijyOetIBYu7oIfjejG1sn5RIYjl6zBli1BEqHHuUFq5NK8oISLyfkhuNHTTnflPZQaUcOpomEoYGDZn3aMAsGOLHXkoM2X\/GOFfYg6wPqX9znxGPL0t8\/t75hfkId0J62SoZiPaZWTxXd\/wB88p9tzbfG+jrj9bzbNet6upszYDPvj5psK\/TqLB\/aDC7rTewbm90MAoXAHMqzUiCpjcK41IfQqXbHjc4fIw34RwvGeAh4y+nMtMyrZ6brdEkHGmtDNKzVCKMcp20M8FmLNipD1B\/gRtn38CM0W35Ro\/OQRV5UeyI2tgXrq1KaKtXkMX2wnsU0zNj2297ehYBilJbV0bcMnzlxwY5dte+48au\/mdh\/LDb3N+lBru6xeMIaMa3oYXFV\/37LH0V2UHQame\/DZDZt\/hfr5LS7qdINdkyphkAQaXnVz3uwbLa3P8WeQ1FrK1tLYXDL3\/g9AS8TtCRHAROT7MTyD2fONT48AL8pq7uohsD3dlNBYtdST7kP2lk7IZ9lRGnVXQMgqon+6QeDxR3shu7lLGsqcMMjRYNCcyj6+4zC8RfThhkdXWRvgfZ1jbqCkTYmlg4SqZdqaZ1b1t6gyUICNlyM\/fCn6cRw13+5KI6AYSC9UPEIspWscTkTrr32j\/cC3PkZ+gl0SQG352nLnyEstz3mZ4Wi0cXKD\/wd4oZ98AskRlJtplO3wmarHvTRUDyweCBFXu+OypCdz0877zSp\/n7ERXm9i+qN7r2zRmz0Vkf2Jw9TqGF0SE8aH4jmN+Ip14q3x4XSrXs5ULjGhE+Tl7y2hHRU4JeGCZ7suxYPx\/E5fC6IOkmsMYDBQ8uFeIGGzjnBiLRnQjeNZsztY7Njdq4H+7a9MnOblsr\/+NgD6sgZUDvTJxInfVAuTp1rrDaitgpVfqa1d6QWI2GIQpBCNp5Nd\/sm4o7gMjLjGC+s1tWxpLfjHjPCC9hG6geJTXgmhDBK6F+jihjX0YsCyAMr6IsHYRDzBdNc9BKtC0JpCfZjfDE8q3r2kw7wNLB++eI5cDGMwsLcdHVEW7x0J1NvGkQWjJQ+4\/xSG45bmbm8lYZ+PBxFhGTBr6jz0RmwkgJCw72v+xrkn+pb3t1tRqAKbklTuRL4YlQRP4fGYqSj52sjnleW1Nx6fnU3qAMFfmSPcPMGzewCzt+VWkp1cQzRHNIQrOX\/amHiIYRUK0mAJ1kMj73O6sRrsCRz5EjHyMqDzV\/wUAA\/GNVeIZtNkHJoeuYdj7jpqHDK4Ji03hiWkmk\/mM1GBOzkcsKGBPFUQura4hRzaBaOd6VvQRtbPP87fA+Nduq\/yEzJG2AQ2Bh3riufXTjytRCcEe77\/NTzSckdchmgoG+OF44fnazAlIZedR7xVpliEpbxDpNTVMnKSCgpxVDYczJqlV4I2vWvk+Byot2c\/uL+XM\/ww8gwqTclostj4kpZViOs2ecJi82PPzpic\/0G1PrgOIh7ctqeO3mPa1BCC0lUgz99x+1rWgGs3c3BxKr3KtmriK+THFKTj70UTfmSUovYFyN0xaSrXd2qHu4J+Y5ctaOBuRHQe3HJ9UQG3SfxXTMxR8az4mEWFRYY0DnD27rRBoDmhrOEUjEfjjGf5vyShjzubbnl\/HvE85oJjzOq0Q\/EdHRkurZqjfzz9FUqkmmFdJTcWvp1jcMTo+ZmwK9k5BY7J1hBN\/n07SQTMVvjuhNztO3LJjldcaHcxSNT0r\/DauKSzj\/NKIh0LcvisqOesJvTOT3knAVTzGQ980fDKgI8NxSbXcwFwi0OMxp0ae1oAzc4SCan89GULvvgfzPTp5cB+Fm4xMZZ8Ll5NRf6BesQWz92S3S9xE+cMgYNVVkxriJfGS4ULWOkLJMW+j4iFgKipf02Ao8PbwAeNuMY9+lbvcSE1cK42tJuJbDMzoPz4PhFT7S+5IqMeTDVhy0s9IZE2q4SJDhi9kLVhin1y0hmREnX2QgKZdKYn5PXZ2GNiGfa4w6vsuoxc6jqoPMWtoU2+hVmgLU\/zERYa3O0lWPfvJ8zB7goYM4SPh014tV+PelUKT7XdJ24nRpNsqUjRr60Wnce5ouTHUYfw53gBITYsIsUGzk556iOrep53IMdJv378j8V0\/HphM+QQivryaTbH7pzwAGuZUkZMGSuutxPCsBFxK4Mz2EWhckB6RVFew5wFFID9aLhtFSrRKlaOHQXSDurnKM2EFoH6Uyv3ymiG80m48Kmy\/U3hT5sC7r5Y9ZqMhNfeWJIjxHLB4bPgwhOtUIhHrQ\/5Og1EfV7XRd1SSlrBZkn5gZVEsD7SB40p9iCFcRZgj1RQB62xmohBhmYRlKyGxOWWi95cmUx\/8lUCwA4qokNcja9aGyEaW3t\/wjYj62ThR+M5sF4E1bHKXhFjHFhGIBrPrM87ceQSOiPpw2gipn95rwKL\/CR6UZRMTb6r9z7nR87oKbXpS\/rrfROya+5k6Gh0fsQBzJpnVPFGRiPBcJA7Vga4anU\/JmhNLFB5mpUxFkBeqRgvts+c2fzwquyC32jQSsbP6Y3RweDHni8cbMgN\/he2va18u5TxSkYTeAES8d171kHyWj3p\/cQd\/5VTLziaPzCIEo29r9gHq3joXWqclj7odLFQ6bTGOY2TWU0GP1mgVJz0S\/PFJbeL8mMX6bUQhDUtELAYcw2hKPtiXJcPJn0ftbQSklS3P2NYHx29uikpCcH8S5XGSrO6bymlBEbqMFdMzaTeVBDaJjxV5xPIBvqnugdVLJa5L8LbeyFDO9yDpOhAoorFYlnOtGJb9lqpF0aWfZZK\/+NV2apKZeDxjlTbYT6Fsbooxd5wyvjTPpMDMCe17k74a5TslP0n43qdPa8S+EkVfG6Aj3bcUI+XEyUEXrRDOSpZ+7WCWRBj2KtA3Hr3igO\/4E6mVWYBMs7WsPC480DfLcpncj6yg+8Mw6vUomSskHmmU7Hehri6DmYfMslE0amD558yVpUSy5u69\/ZPpCmUbYn4eleVuQp4kcBp\/wMaxUQRL573Rd8b0BftS+x5qj\/EaM\/+ClqzrxGuUhHJ2tkJxuuLekn4WaYuqWwrOeGn0OW4JpW7q6ACrMWTxejMfzDAjilE01DjE\/NffjwxegWkvLgPxpTE8us8OTxnuSaOdLjJSfHjLvHKw+h424aq9Bu7QC1sEzfvlhxBNOf90fkP\/G+eUQ+z7HhMwGg6JdOS8lxSbK0mKAIlmLyGP6AojhyzAancxDRJEjLZALXugevbDRwl\/p7MQDraPIoPBkK8+3v1pDTtOVHS3QoU248A954vDnok+zg6mrRUmKGko5vTdY0HAZyq17nW9HouS4NrMEd05FuWg4GieXpHjUgelTWy\/PMcJSnRAkBpnj2R1FErSByqjsPk6ZoGsfnIWKOHgS+kYGWxG1qhz8l3fdtAo\/Y4rlG7rlKeAaB7YnzNpxdN+xYkbStnrRkzeKx4MMdqJV2woVYPYrLvqe67+z\/MWoNlcQKKJPKOECmwPUSRIb9ALXENXoipldaNZ8z0S9egQ8U+QnA7kHvUpRTtJFy8PGHfUoiE+Bz9WUCgfyrbppjB88VEUJhIoe\/gvWfC9k3ihenB5FeleQbDPQ9cLPSasAnZAPy2V066oDaG+XJ4JXEPUY4qHOAXe6R7dr3zxQ\/T++EEG3\/iYz3UFZk0kmEDKPkiRdUESy2RUc3z2YhpuKXuuhq\/+1rPBN9qrYdvB4nQMMZDRtK68ywc0QuElHWmfYO9U1sT3uoNIywYm7NJGVC3htHyYepmycKVRBNUN0NgjgBkQlcdzpSsR6ToahWWtkr3zmuxEmOu4N5lRgdGstcP2sHyQZ4vTUC7P8G9QWw46dFxz0LEoa\/I1ZPX\/XM2GU2QgGsrFUv6XChZgXWbVEOSlEDo6WuXrNB6Zvr5MQfC1fq4w2jqGY0rAP1Hs4s0hn01GIIoLbLwiDW2yl2Zs6SSXRnQmQr2uRym\/bCFRnfPJ7VqDyzYw4RPYbrUjHsPeJyWjVy8\/yH\/KBl+PT9VIpUoIAhjbIlc7oTx2lfmyVfiXD3G4kXCpYwbt5hi4d\/iLgCQWbLFJT\/ySsjLEZdtDR6tFpF+LqRDMan18T7zB3Mn113Ex0WohRxX+rlySL8xismb3e4aVrO2O4vAF\/YoHevLiVuQCt16L2zEY\/vA8dfYq5rdn6XPfmUXMfMp7NpNAWBIG9HUbjZwydZeCl965IEEwVcChbZvGgliCYtgxtDcYAAGkAVt+lLSWlMNw\/dauFB4QwH8J\/QS5GmWYymzPeoLaLnub2JZ8eJUpv6z26Qa6tKqAQ+jbboSCdfafrJADoA77gyIAmW+ZE+ISi23MuxeZlPl8ZwiUrZE6+cyJvbEWvMEC+MbZ1XL7XR8hOBjdJNN5wdrZZFJpgoa9mGOfnN9chuqBgbQRuOE38Dj8CJVwEsQhk+\/ycE62tNIDyq5vZ+OnKtvogDa9n1+2cyWpyIosC7SGimSj4mBaPN6650SAF1L2aL0is8IyafUK7T4\/sXjb+ZKeC3tLHdcf8XOFI4+Ttd8Km1KqQM3qauwW0IhlAMWN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alt=\"Qwen3.5-2B via WebGPU (Browser) Easy Build\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>To get this model running locally in <i>no time<\/i>, utilize the built-in <b>WSL tools<\/b>.<\/p>\n<p>Carefully read and <b>apply the steps<\/b> described below.<\/p>\n<p> <\/p>\n<p><i>Be patient as the system self-retrieves massive model weights dynamically.<\/i><\/p>\n<p> <\/p>\n<p>The engine benchmarks your hardware to <b>apply the most effective operational mode<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:5px auto 55px;border-collapse:collapse;border-radius:12px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 8px 20px rgba(0,0,0,0.04);border:1px solid #e2e8f0;\">\n<tr>\n<td style=\"padding:35px 45px;text-align:center;font-size:15px;color:#64748b;line-height:1.6;\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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innovation. The recent release of <b>Qwen3.5-2B<\/b> by Alibaba Cloud has sent shockwaves through the NLP community, offering a unique blend of performance and efficiency that is set to revolutionize the way we approach complex tasks.\u2022 Designed with consumer-grade hardware in mind, this compact language model features 2 billion parameters, allowing for fast inference while maintaining competitive accuracy on benchmarks.\u2022 Its context length of 8K tokens enables it to grasp longer passages, generating coherent extended text that was previously unimaginable.\u2022 Trained on a vast corpus of web-scale data, <b>Qwen3.5-2B<\/b> excels in tasks such as question answering, summarization, and code generation.<\/p>\n<h2>Taking Efficiency to New Heights<\/h2>\n<p>One of the standout features of <b>Qwen3.5-2B<\/b> is its ability to deliver high-quality results while using significantly less compute resources compared to larger models. This makes it an attractive option for businesses and researchers looking to optimize their NLP workflows.<\/p>\n<table>\n<tr>\n<th>Licensing Model<\/th>\n<td>Permissive Licensing<\/td>\n<\/tr>\n<tr>\n<th>Open-Source Nature<\/th>\n<td>Fosters Community Contributions<\/td>\n<\/tr>\n<\/table>\n<h2>Unlocking the Full Potential of Qwen3.5-2B<\/h2>\n<p>By embracing an open-source approach, Alibaba Cloud has created a language model that is not only efficient but also encourages community involvement and rapid iteration.\u2022 Rapid Iteration: With a permissive licensing model in place, developers can contribute to the codebase, driving innovation and improvement.\u2022 Community Contributions: The open-source nature of <b>Qwen3.5-2B<\/b> enables collaboration among researchers, businesses, and enthusiasts, leading to faster integration into commercial and research applications.<\/p>\n<h2>A New Era in NLP<\/h2>\n<p>The release of <b>Qwen3.5-2B<\/b> marks a significant milestone in the evolution of language models. Its unique blend of performance, efficiency, and community-driven development is poised to transform the way we approach complex tasks, unlocking new possibilities for businesses, researchers, and individuals alike.<\/p>\n<h2>The Future is Now<\/h2>\n<p>As we look to the future, one thing is clear: <b>Qwen3.5-2B<\/b> is more than just a language model \u2013 it&#8217;s a catalyst for innovation. By embracing its open-source nature and permissive licensing, we can unlock new possibilities, drive progress, and create a brighter future for all.<\/p>\n<ul>\n<li>Downloader pulling specialized offline translation models for LibreTranslate nodes<\/li>\n<li>Qwen3.5-2B Locally (No Cloud) For Low VRAM (6GB\/8GB) For Beginners FREE<\/li>\n<li>Installer configuring responsive web interface for Whisper-Large-V3-Turbo setups<\/li>\n<li>Quick Run Qwen3.5-2B Locally via Ollama 2 Easy Build Windows<\/li>\n<li>Script fetching optimized Qwen model variants for terminal-based chat<\/li>\n<li>Deploy Qwen3.5-2B Offline on PC Quantized GGUF Easy Build<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>To get this model running locally in no time, utilize the built-in WSL tools. Carefully read and apply the steps described below. Be patient as the system self-retrieves massive model weights dynamically. The engine benchmarks your hardware to apply the most effective operational mode. &#x1f510; Hash sum: 166236aabf5999773bbadf44c932016e | &#x1f4c5; Last update: 2026-07-09 Verify Processor: 4.0 GHz+ boost clock recommended<a href=\"https:\/\/collectiveinquiry.com\/?p=4296\"> Read more&#8230;<\/a><\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[264],"tags":[],"coauthors":[14],"class_list":["post-4296","post","type-post","status-publish","format-standard","hentry","category-wrappers"],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=\/wp\/v2\/posts\/4296","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4296"}],"version-history":[{"count":1,"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=\/wp\/v2\/posts\/4296\/revisions"}],"predecessor-version":[{"id":4297,"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=\/wp\/v2\/posts\/4296\/revisions\/4297"}],"wp:attachment":[{"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4296"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4296"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4296"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/collectiveinquiry.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcoauthors&post=4296"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}