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yaJ1QCZUKPG86j58nDcZ3QRcy7tc0XtC+rNGxH1qWN07hmPcoYzVTWVYhkVQ4F\/Em7qIs1QNFB6K75ODHpJ\/s6gejb3Xz2NOA0\/5aBmUEMgLrbsHiwxrfHIpbItKqyoN+oZd0QGOo1ggdeDCGS60TCnGRyASSQWkb1GgP9nandiNdqUkRbZEOkjfUKUz5chqlQ62OmDKI5ZD4xE\/iGntpwar3V8MHqsJ9tyJOtfrwN9MojbZdH4Sgxbbnzxu59pLHoX3WvOzhuKQFOayD+SOlOtNCemVNshJckVy3XbZ4tiV8TAgOozmGsxr9R9jHNFy8tBqcsvOohoSnghdOTqdnBcFdaihCajdukNebPRiZIxDXGqvuA\/Avv2H6cbuS2Z+vtwfrAuO8jvuIEifG8mtXx0V2xw9nlA94j\/hh1DVngXR2HEOBRKldC3pUb5B3umEP0OAiacar0GwTGQj7VMUzHN4B4+oVhDaVrsi9NSWQLiy4uwM7HmteThGpiH5\/wXo8ZHecTnZsjVVX0Y2hWNu1x+5pa2ugmqPlTkazIpAvhJuD2MkqAzy0jgqndGXhcPa46vybkiFSDivC3ChAkOVHxi6zSYcWU0592EVwTBHnbXkk+QKNiQDImUFMJ2SImnERRO6Sj991Ji4Oo5304ShAg\/944ExtiNMnt2gEbyGX5bP+0B9fVdJboAo7vW9uEZicFn5iwfCB2tqcBl8H0Q29D4XZthqVUAmj2wn4j2u5AEJZxNtHIfn78qY4Ldsw4HVE5EyZPZG9A\/Jtz3aLTrcJNC+5JtBDZ3P0Wx9GcovIjdYYGlDvaQKhcqQcvXy1PVmj6CKS1B7jwjuA8doDSExzemK8D7wB2fMd8fospJj0t85F3WZ7tQnu6RMa8DTjHXaduHlTIJP8cAUR1htUZekBdxGv8R9rq5BoFLfgMlYNqPCmlECGaU2RnkVsu1Q8tMabwvlZv9bFroIW5lQ6+1\/QzD7ppfPL9wlV3\/Qpi\/YBf0fMUE1EYOOObp+ZZCBVeTjIrZ2suXlhdVtGwS2gtikNpa38CgX4EqiTXZo8JB4oeRUOzVW0bblOP1TDmfFy72Lvulp+z8+LMFmwR\/3W\/VGf7f\/roOAWeGxgh13hUczYREVv4OME4\/QgOyhcVE+F9goFw4Go6ds+AW9qYq0nMOoQ3Y5RFBos2HPpNyym0t3ZnLQHB5SIxfJpAKhDgxwHOMaM8vOe7CIH1GkYf7pUMCtDJQX8W7OvIvmxcjg6z1iQIxuLRZ1oRg3A3Od1RrnQAyt0EC8YdnpUZPjb78h+hbqNUHY72Vhw2j0TJSvEWtZg2tjK0AqCy8\/HKjnjlL7gZ56pCeJ1GIV24jho3h+6qlxyENEYh7n08s+xkmurlXQmaQxoLYZe23l1wdAjjP2cgVpBEpN5xPh4QREwnc97urf56n2E3iCsclt3Mj4QKcWFY63gGAcrCecPXzHlwdPzzHWZ01mF3pKgdfFOeMR3DC\/Nh\/5MkRsCbIO0nuBZWDcElQCSTimkGDyvLl\/RBP6\/k7gFekb7+lqAIVVeKpQgeirrp53UwVNuIsRDLipLZYNf5CA5eLUlhP2YUUG7CKjPWeIsD6qrGkGUnLl7omvN916wsBfU0ZntzN33OepT6d2lcYlEgNV1IwNSMb0qZgjyjkgwgSZlsuc8abDh9JGp3226EUuaKmfu8XTL+bOB8GLneG+HBs\/mPoY5kmQasjLtvs4nAuFTP\/IK8SvlJLHfRQYsoElc1Kx58iVW2GyGaN3Oqk+Pc+OlnrZbYn+UeDutI+tkjGBfNUgSwwyU4tf7pbNPQ0ahmuKIUUJDZg3F8O5v87wuOV7sy94teBguAf77BRf4zCFCUJ3+tkEA8FJhukBwIaq\/20Z+gLhLxxy\/QtgchQbetG1gcKkVZqf5OzpPRrv9v\/Q3ul3L\/sJzrMB6KNybZ+pxK1gqyz1Dz\/2N36rXmsHmkAroPEaZ7sS7DqxbGvN9lRfHh4obYKrajiqCspZ6kQesn7C5ZIlfV2lg+G3NMrsl9Et0D8L31pHNvHGDeWzgz1n8K8W\/xPkZpE8W++6\/lcfEsm\/4PxWXGv6g2G39AqBVMhK18tcF\/QibNJ4Y07htxXUzg16An\/Ab3DfITwLpB1MyvxptLpS3I9ngWftrNxdOjdzS0q6eTHdRfsOoT+kXzUvXJo1L+Yu8cYbAfsaPYD9Iok+LVHGvFprxefz4kkW3M6mSQrLqD8TbCoW07HVQ6UrUHt91BnpySIQRxTFcBsfUTc7qDlJG1d\/vt\/2xnMqmauki3mbEsSOHohGr2WaUCQl2sVJnpiCoEdCTZ\/UK8+OOqWSrvCboBIqs+Kb6KWvKoK6gmU+eRDV3ecUdk\/T9fUmqhjVtl1tcdl3jdVqv0K1Hqr4JZRs6dGecyl+v08uDjYyv8qJC5X5UXdOqFs1Jo+8Iy\/mN\/7IDVMW5Xnw6J+dudzju7ynnyyhSELOphbZ4upHOpoFWsoKY1Qgd0jXBoEN2tOAACUZ3f41J1ApO2euyzKaUPmn32MTL7zU1eOOiH2gD9tvbIfOFMOm7eKscMgKYDy0oJwiJtvSKH+\/6ses5mMocXOiDXsdi1ef64rQizXrNBdRly4UPgBQt+WnLi01TC\/UJNb5xfzH3mvS7NUs1i718BSt3OtJBd0RucuEdaiMXypJyMvPw1ZF6cfERmQUlybvrffgemyXnXhPDGfvMN4j5mY9x4VpKel8WhfFafg3aKwnYmu1yP77NFjf4bB4SqTslo9oQ5Ra70bNmqmPsmbCtaoeGagGWX3C4uFTm9MsmYrq1beJ2QcswBgpBwxQ0\/1v\/XXwF58RwsTykAvqQIWVwRODv4FXjSqnui9SUqUSx0rBgjRsHTJPeHzKhsp8NwCncGZS7LIO6V\/JNPNRKdU75Ft3wvJK7T0XKAl+YNORSatVTgBrrEffZHE73zc6Up9fL2xOtbLmNfrqOo54W2300nlvQtIakbMIfofXjZD9SFyE2XivYm39t5zsnYBWdMptVOyvj70k8qXWILwReEI5oXkDd3NRJsqcW5b4b0ZyG6O1eWaZQOZaFlgz4Wb49e+X4lSnISMl66Dk7k6yrOjXkyGPrFa45zwhiJNBLEvVXInWyVbyXEzO3RyJnnSXydAljo+7Kqlrghgz8\/u2NAfw7WbjUs+rPDlKeL6LAt+ordiQh7hbhOiwIZunbb\/umhnU\/UZ4JNjhE0vXfz+qxiFSvGDDr2eBQibm1quF6dZ5ZkkkFcf2XXEL0EFtndkAlC+s+fsFzzp\/wSWVPwAvmxrLwhWc6Uqpza4eD7fgefr8OE8hDVN1J7ZPhoQ8FUrRS9mbbH7Z6Nj+yN6b50Sk7eg85pbx5RZrpoiNI2ZluvcNa2zBOnil\/bLjY1OD83U\/Cg7VclcnNebN6i5HuRYme8KV\/D\/FkIaRQNiD1K0GNbuq+1K9PF0EXBQOir\/w9+dV\/6CIzv55GHKZhr4TQ1qhmv7iao27\/58y4DPRv8oDATCi7Rvx\/+xYMiyYsfBgdFsBBdEa8n6gER759idaqW9uLg97wJW+aUq+nO7QWqXmnEQIl76k4WakAvL+5ZzOWmgEsjwoDgPlQYhQ\/B3yYHLChbK0QD2yySQUBEdB+uoWOiuGbu4gXQOS0c9I2521DnL+b1xMYaUDffs3yKHIuAeyXRneOAUf7xo64sTxayShkCj2Dcwdo1EPgmJOGhPLy0HjQS3jgkc+rJGxr4EFjjT6tX9eKrmmNKaO661bnbrcdYWPEET3VE3\/6dxCJK5mmNBgP9M+KYYPPqzww6wRd2sfNsM9aipj+H+6qeL6b0ZFX6\/dXZjNWUZYQHn\/\/EO0Bys2dNFvPQffZF\/lzKEJpFCwSi2pg++qJLEc2m6eqfoAxgczBFJw41n0c4yGm+S1yxv3uMkvfH8E79OxQ2gyLyoj7AJTY7XXHzV6uX\/MLFW91MXDgpElJ7ojHW6JxvsMemH0v8FXm\/zEnU9TsOL4x+2h165GEriXb28smQ9A07WnJ6PMurrC7PdXHQMHEOmK7ahf2iSZ\/8glsJJTC\/R5wwFLSJ7xihLI1OayUfmFn6+AC0XMYClXChhoF9Cr+IXwx2GHSrk8myBYqKgB+QW9ge\/oPMfkCD\/gniu1tLHozGoyxtLtgIz19rlFpzawjQOgv7pmFX5PMiVpz+gWfaO8Cnnq6P09YBLRYTyHxxWyuz02\/jiEk75UguKWCbK7\/R7LX3bxTADYZT\/Pv+fgTf9NBgG2ne5n\/Qk1gRiFcSuqjdq+8lYOt0eqb3P7CUyZa7wBTiHcPZ2ERn8wrgkK+mT74sAyMvC5BMkyK+8Ygt\/4ILpj565FfK8KEFg4m7FqVWWMVTCPN1tDZNNPGNrTQa8rb78YpzHB1e00iIv1ZqFeJo16O6IY7mfX6M8LQwZOlSwnSITjr647JX5YD5XkXB6uN5bA6Y\/42tZVMjI9GCpQRhspOPRjWzGVljVRQl3r\/EX2L3xJItvLYq+70BTx6HWdcZUhyIhY4VCDHSpk6smi4pP2U9SnLzvljkkxv8xnQ+7OkDXmbpQvLU7bWiGOxNOgivyriAJwueuBEQWv0OcYp2\/WO85jV5fchCkD94fIqW3n+N+WgbSOcnWLLXlnjCiN4+r1Lx7Ja8e0arTDhYFlRyARbCGYhbXoNA5aIhcRiWFZG7VETZxTjRf\/6lbJee6oqaFk1a2wOQV4etna6OSNtFNaHoGdgloAU5rBitIyvoxRnOL8ERaiyhxytzdUM7qE6F4GGomBNhYDIQC8JwMdrGUCSW76B5fIn255ACcuSUA6cA8mlYsR2uirq897bkWhTpN\/rYu5\/Y6cmEm5YFwQguswH3xjwAF7WL15VL4CNGc8oc3aStyZAhpK9cNafdTAI2iJpTDjxQHd4rtmupR+u0O2PrHZzJCDSUaUzk1N63fyhlP3v2dAf6GU3Ll7GpyMIM4suwXR0nrrscoURMohQdMOWdrJ1XAagcnmPmlie+AxAdERsZ+B\/17EZGN1kzIqugJYRaEJ3HiqHs5W+QZ\/ZgO+GXGnCkRsrHTJx0EldMpHMw6B\/REZNhFS\/zM3HHIRSAbpWMWlLCkOhV5iGbcxL8DmE1a1OqhG4eTkZGnEiYIjqIGHG7XWSH3tgQIsOLLEyCjyAMc4dBWqgfUyaCMiS6ve27oVW4JeWUO+ZZRs8ACFoPgxTis4LmHBVQ\/Z5qruWXTya2bsue8ccSm8EI218mF72UpVBZbaCIGK3vsf3Y6+AxSBoPn6P\/mAMQAAqdmndHvNsMGZ0A7MnLvVkjcLjFsKlSg8l+rtntoc\/s57KZqUP1of9v8VE2nciGuIFJExGzKvRpbXZDDfg5kt8PEnls6X6YGe1wt47jWvRKA1EtDpL0bSWYQg8TTWp2l2hKbKEbSgK8Og3VmYMP1mNQrzBjZ1JxTPM1BhUJd3Udh+0vbyQ8z4N24pijcmlJjNBESS7TssmPPMpf2iD3u\/429MqUa3q+g8iwv3I7Dj8J6MzCU4MJK44bRuCOnuXdtVK9GHBSYyIRL8HdQmOBho7YXnSns5iDoptimdQavOcN\/cSyfAX0ndKqnjsXH3ZFK0ttKBniwpy4dPIymRFKPcofsO4USP4tk667O70dM1A4yrPZDZXWgvEpuD5T2BbXeiz7UvhoN4tVwmSxJ8DeaxuqvfdltFP5v0SOGtSPqdcV\/Ev7arBL4ejYsoI5MnL5m2ffjCjv3anZqcjrYkoQqM4ybznKrb\/FeJEyDrxCjAlQtx84pv9xvqEq8TTwK8MQCm4YZaHXZNY7URISkxir+A2P\/8XXd5DkXHETHzLa3rFo3DR06HP1WnhZTbfPaMEQJlZxEnnhKLCsgwN+1bEko+uzvox3+KSpWhgbdPtB9zUTbWTr+o9Z33L37XC0lSjDtf1a4qkfhmeD4jCz6SgQXCG193uSFcr32EOOOU+RjqXAIFLEQds2PvFLDjoR\/KZsEgabQ6rRzekiSCwxOIqIAGKLeTdHAcmRYtebY4oD+RExW8307ohkjIW6zelWfrYLkfinwGyZF6OBqH\/jgeZ3NgobdEoQH0i775kY4\/Fo7s4oIGs4CK\/oiK619J4Lg9Z8FAltLuxBq9Ir5zJSWTRQnX3Egzcz1Mesy0jF2waVj7uART\/GAAd0sC8kutYAwIwW\/nqA2Oq7tF2rdDeD4iWqinVW5lzPVeiDIfb9GCxUMM8KqK41K1OFUGL2AC9nUujc\/hUCDJBgboJo9ASPS8hhtroAFGg7gBU+HUNgTST+FdPu0mENIssX6bb2JiY0E6CpZFGGHpEtiy9yZBM0uxwNG5ORLcuEe9hUUmhejfCiYWTW1WD1aAuaPSk7\/V3GNGk7+Jmk8DcaAqSZjyX1vT5MkjGhS+xsGy0wqWKx3grtb7pSw\/Dqr8b0PMfZOFwo4MVziz2v\/sqnzvp8Nwzr6zZeSmKKC6UrKN76UHDkbJPzPX30FJtb\/c97X7rHP3O7vemiEHndYHBsmJwuIEVfuJive3BKiGUJGWcZqwk5OZUHzKm5RPKiEvdnOFVY4dr1011iOFCpzZcQDlwJmrvDaQ+SYb0kqOzBphP3zo78WiFxaCCLjj+6DbspZY\/\/00DSiPPYoSb2ui0WvhOsqfeKAhC29Zew2TbHmO\/Q7lrNhlGWU3UWrDdBJQFwL3zvn0fz0VThH3bV86149lR3Zs77M\/u4bRQNntLy\/5LT05PDi8KLDkltR1LpC1+jh2uuSyNkImg1QFHPYq35eGU6BvGYvUymN+DuMbNR+H3Kld5YXyZ3BMVZJJoHYnAcd16z0DU8k76WDp5UecU4f86mWaAx1hRXNcXgb87qx7NFFYag0S2C5yOUmcAXTt6\/w9Tdiit+RdzRSgn6P5sZfSMq4B+GNIa1fpLk0fiAX2JgjU9oErYrg4lAe7FExxKy9S1yu\/ejur6VlvqUZTiZU+yAG1lFSmH4yjjGoolz679zeIFE3fKwO8UGGmrZgoOCs77WWSa0Ovw1EKjl3bzIwDAjVxWrhXS+qcQbuALpf1jo4mAcR+EujDXDmm+g\/XUe5gHrQf+lgOeIJvj+uAClolpNORcuaVcFN8Qwo\/BBucHjN7VLjudmZbzsGmMOL5XN3cwuVjXIcjrImN2zz3d7QkcPJ3UxMB8FDXQIYuuGcqM0\/dDdCZDycdlVnrsG2wjVIUHiYU\/oWVBucnLGIatsi7ohIkIqAR+xd8pR8+Nny7ctrq7Ol3XKqbPngZkXuk6pPr01bGlfOvPyfaXEF\/+mSBGGur5FbmD8yTaDNgHvpIiS\/o+IJesdutoXr5lkdQrJ4fXUPg1vwY\/RizPb+qlnbZ3HSLhzty0HGKmGb6ydB3ItD3CbDHT45fxw8pV\/Ek76sMhVNPYJnptdaMTjNU3EmlYYj7t\/8lkoVzvKeafsacdwL3yo8IK3G6xPxufqmNPXRZNMaB9r0cSG7eYzYCMiN\/ZQFBlBOOMqU6S82nc8LuufFEe3cD2p+5jy\/9ggyo1GzIkNd1DQCbtKnLa7siuqehAp9cxp+D4nqyck0m\/wVFZn3E2ytTKMOg3\/YrokaF3a+PvpXE4s5fMoC4LAqlAcT6lUuw0xpI\/pod7ef\/4uu7zZfAa1OAZeHclt6BLfg4eIx1Nx7eREEqT03kqEOOTsIrAXeQ4+9u7PYk7ngca5vhDINU1KINN9WQ9hT4\/lbQTohl\/NVmTTUX8F8S10OleTpFeBra4x4D2jE\/is+AppDIwA\/QP\/QjSDH\/zbV62uS4rHeVG\/\/fxTf4jaz3n9Tm7uXfH3\/NadOMs9MTXEN\/uNQLZysZYmH4LmoPdOczV\/60QzzejHLd0bMigCXBFHrTNiPlnONnYHcQcYIypDP8dgQAlyuGD5oreBUrPG8UUn\/3Qge7f5PeJSD2LulqqvIiQcWQJca\/B0\/F8hJoZmBMTJnZ6Gv2JbhXsoDvqQrVmxTuESvBEEJJAAxWs83ugH4SXWr1bg9onFWNlh8goyGeck2fSwLw\/wWLKrUYRW4GSRV4YQ04alo5djg2q\/ofw4sFxDzN\/hEa4AjZIGLHZLcNxZ2rNoLd+fIeXcz43AKl7J84KsZv8QKbxL8AEakyMDkwEhPMlUKhAI+EzBTbZNak0fwI6PHRZRsDbNHPJf5t3BCOIeinOZ5YeyRo0ovWqBCLMbotWHOPZhy7sZw5mWdCG5YIQsJa2zjw3P7Dx3ubEOMal\/Dtnf6E2QH+jNqBmvGhj4tr9QRgz\/rfjx6RFKG\/hwMj3FAO1hxzukK59SlWYKYYgnak0GUzOUDMhM+836lhCwRGStTzSfgZ6yxkgYRXgMJK5xBidT0eU8Qr0JMHG5mo9B+qsLjAYv9Vr+wI2894WjN+7rDGxXwUFFmY+2VUGc6MaoAo9QUbePZRX5sQMrU2xt8gNk8Ri2I5UJ+GX22NaaGE+pA8s+H9VySIqQUahC4Up+Yam4dazAzhZ5etDK9Xd+mDWoQD6+RQVyqBgx5nRi\/4q9b8PCSp5TcrW\/l\/mRiWKPiF+EgOLHenglZLeMOh7Z0dmoJHdf9G1NdphaSsuWWSK7nhfy7BZnjaw58mwPZRgcBzwevMQBxcRl+yUQT6F7tB6gGW0QUaw\/hI6sQb2q6LSooSKT4Kcb+RCYn6PkObKRv+Rx9qdw02jyO5wlqtUwM1UB79kI75wN5Nu4XLfByRwuYNqIJVYoiS9dE2mts6RtbbG\/9100NLvcVkk6fEIVWe2cyTf1LJobyrwiS2qItW\/vLBtJm3LgQJz850rpoYP2dc7Uuqcx4oKNl08sCSOPgUL\/k2Lmh0EnMwiXUEKtFub877VoPccWecC2+HA131UrDTd43KsE6vafnPcKaCNiCUMPKSyzKDAFJDNetNO+7JYE9DuUV462ePmo411jsINc3JTVUE7t1raw8GBHUbCTZ9euMaC\/4C3YBZoRSSnfujqAjsjtfJzkz6eqWpC4vcwlP+sYHFHdOXZ2dn1oLk09n0xBFdy7rHcviF3bvyTexXOpqm4clfoAny3AFF\/Kwl7MX4XmbvggUQBmnMY1NGAe2oC+jsJqQ9kdHsb6+XosbSZQd8TZjhoqPpeG\/wSBAx3zQS35AEu4yQjf4PEQ1yHVaf+uNioIVqPDdo0H5o3NF4pN9lDd6TPS\/6wHB\/SqWJ2W26xfdc4qcFO9F7NKlN1+HaiagkU7Od1ysrw3HWhkphjw6vWKzov1uc1KS\/YILfgEuojEEy9QdXd++G0he5dIriXVCreic05sy0W0g\/Oe+YaLtjvDRsdtQ9uEreAxcJBEA15CWZoQD2v2Bps+Ht4lOcgKr6nvNOZq2J\/vVLo6cqHQ2jP5YkA4rwqTvdpkb6aBvbmXk35gycwv08WFFgnEw8A8Ve0lctxSKcmCP3a7d+gTBUJW4vn\/Wvvb6dAZU\/Qgzvn+WS5sM0OHbnUhn6ufOMJYxrc1myyEy4QuEdmi\/9bqHY\/jAS278ftQOkznMVdFEguEHO8haAYSI4SC6NayiOy2YTbMm\/GHzKPze\/cxlKMfvVrnHvSis+Fg8p6Qqd71ssF9b7IDAJsq2iyhobXHiMyiroVLvmjgItSNOigLp5L6gmjPVcRwIeRNoKtFs+hInzBq7pOLWKrvNOcZjN62W2bRLtormyZU4ZFQ4smG2WntjVWvQ4PCr691nvd+y5\/lSilBV6AT9OmuBwKMpKHXBzxN3dlpvF3VJGcuj+5ciC3w9dmlrjjBu3MWWqocDvSrzRTyid69RWdxHMG73KYE6YqSIKC2WlDph2YBkRiPh9Q+ZgNjyL4YqeAC58sOhgM8P3MEa7\/2jiCAIgj0+yxLAC6A47hTodHIBBJV2yxlr+xbeWP0S82uAD53xT8+BZl19olnhv2pbmtyF+K7YvIs4kyyBYf8dTewhjMQ\/gFSQG9E9zC8dNNLh73TKCPOFXsNlNnMJAhxlsFaOd6R3kRyzUmcvATyqViHJOiyK3+JFMf4ghohm7+gWbCLQB4J7zzb1+6NnubZMsnYbsN+Zuaw0J+RzIrpOFJV0nQbXOY+3TdmpYjH8gXq2e6zqAnpDUtTz5RohNgfR7S6UCgSYl++LcpLDCxSMtl\/xazyfeG4Wfg6sx9wwcfbUbnlL73sNiPrWPyEqS6dRoQErmmjcEzflNCY0WA1A2Pu1NUupolhs+AMnnwkOuYe+xc6661ko9H1GJR6IF02Zpy2+Ab3Zoqg8vuV38u0Gr+T5zdyf1dg9EdZsqcPzjg0fMjNjPy9orsVrKemkch95dtTApnDmP9jCCm16\/9j7wlUMoRqhByxgMmCZDIblVK3syz6oQ+nznXZfEvLC+v9mxiF2vpNGALkQBUWBuqS5pPPqUXba1FxG8s0W5zbL\/Zy2wti5WfTnGkQPJ3UNxh3hH3y\/QZI5tSPdoXgiYe7sqoGQYzX+BkJO0ON10pH\/2uJYyBfgIAP9Q0\/Q2iCAsjD4JSDoI4H1OUbvZuvX\/0VwfmXiwUKb\/PfJ3kqfz\/A7xsTeKvv8mVjmatGj+8gOUs5NZSoTX0OOzKCf2LGka9tbOnfsRqvf06g8tJs2IuJLaANq1Rswkey2HV2hDKdTJeLjgzbiuMPqOnDDo5LiWxjE7vgUf7f0EmM3ukHgCeU8G42DnGXP2t\/fYC6yKKcrhDuvXFhYatc28WObxnrMvNj8xgiOSpTg9A9IlMU8cHLnCg98KACFFqFB9fo5luvfrj7bCMTHdYV8s6qUTHg2PEnKgxpWb\/KIU4qaEYoacu7yJ6LiZ\/8PmCpFoU6O35H\/8rUMphQgwtWLPx2tHKO75+tQb1tFgTfXjgWtYIH10GYUNT5GwhljnvGtV+5n1Bumsri\/4KovXawwpv2A\/+WA9vr6rbv9u7gR4yCZXV+03YUm\/KVqDu048MMnZtwSg2cd30myGBA77b0BDGMv1UezSL99WXMVI2Y8kSLSu3vV6z3jFDaTQ43dKGiV+LlMGTLPUhTzriSVYN+lo+SqzGjbcc7xLDGjAZQp7AGW5fAgwRx9FeVbi\/x0D\/AEgSUnlbZ9XC3qVNIH+PfVn06aoV0TYzBh7r\/PFrHtB73txpRZPvPz\/sWIeIh7Jui0zfIAYHCpDhV9ZzCEQcxz8gc63u\/DiLiGE2MQ8pbDgDvT\/o7iYB3b5RjDx8E3ID44VMoAjLIFyuN39+czE0mW7cwTFtRqw6rNOwMyYnR79yemizZuOk0l\/8+bWbyyfV4\/jtTHnOEjXPduX5yPcnPXRpUgO60P67OpNgFi2dBlIj\/rZRMyJXQVTh+jKgIfieQnoVr3HIdCpd5IjmrXNfTvKMgxbWxJA4yNcyuycrNmFM+N\/JmiSnE6bth5WvZjVH4D\/ieUGAnchm9YEMoaIqNUdp6hapXIcHH1FyemogzthfdKe38dfcKiA\/Z8f4oy\/3N1XA1+53SjeURX4oZIomIM4QCWG7uodsTJsWfoEkJ99Um8B+EzKFX+ahBUcyO8cmwzSAAQruju+5XE4lzm0H\/MkMyMX0ND\/O03tNyawHc7BmLCy8RK9ctb2cyhU\/Z7N95uhH8aHAAMPr6\/AO00gjm4XWTyxjgiGeowFNDe4gaata9jIGQNGhBA8MWWjl4S81yhnvv6hBLQYZpy6M1UwLD0hHTs1+BJ4X8v9LasJgzr\/K1u5J5GcPtiQl3zvku4IIJrMpXhRNPwMXYAQlOdo3eI+R4lKa+2QO+eETrCfWluWsr2LtFR6U5yjcd6bAvAL8IjyobUCsEOX1630UD8\/VcqBzxV1CRjmq+MsnHtpt\/Hs29ucOZPv+Dx3s+gnu\/dR4s65nWY7y98MISqZAs8f0vuXdSTlnfP0D7nvQBZFC9pP3cbZwQYLtKJ\/V8K6dVCcAQf\/9OTUk8+ONi8cU9l2VMsRgb6JjCSVpdGTvaED1o59fwwolDms5v2SGHp5R8maHHPy\/LbGVosiD9wwCkTqYYzGMSOB7oGVugzn10kTfCBbR0w7RCljMkyGznuCUVK9IPKSUyEBZr4ghomzpcgfJ8LJEpRFUOS1PTXDD13aUtOqoFsRBg2miUL9xEEnuASvwuxSEst2gKjwgVuS0vLyOEQVLPAR\/Bzx5Ai9kMR6uxQl0M2giJLK4gMjanrRaBkr1bvSk\/Me87BcKGU6YhWFvV6F3y2STykfrkODnX05tOvIrSGitc9F50Gkl6Vl7Wly+u+WNX\/ExhMGQdMheCNI2AHiqls582jFe5c9ixlX8CfA5GjPIeeyO822P2HSGbf\/3m+lzS35GBOXmH1njkwj+yOXIU2swOludaP\/c3uJuBHRmXhgMNf9FUFuyA\/ixLcEmCY8wkraIZ71D5ZZYhAwYV1B5wDv9Xoo4\/bLrVij7dI9TZCyKjT5apFnML0wFH2GC\/mC+ZwdNHI\/meh81YqHDRCAUTjqX9tCgcNmFRG32r1c4m8L7QgQCUfbj73WF5wsUc0wt61oP8o72YMBHyvZ+s+XxuD5i+hob7OmS7cDx3q3VxY7HpZPK94buO4g0\/g8RNwcd6+8rLH9C5PR20QoX6NzwXm4707XO8RCu1u4EMEcAGyOBisLPKCSv8DEZEY96Z1t5+P\/glf+G36Thd7V9bqTyC36df2tcPDw9yNssnBlU53LTkppN2y3pVhB3WyzS555idHyEfkPdfIGGE9GP3o\/Y1YZ+Vy0Uibusw4HcbvxoqeGxmeFfL0BH2lcGjD1PG\/otc8Fsnsr2v5JvtdErMcm+fvQN\/s7mOpBaQ7NWoV33kWt3yY9gZM08VrIw+Ed4GsdFmPTKelTNUEt3lmV85e\/ySqLrOWDfmweQotgXpVT3N\/GlRhaT\/PhgEONcsh01+timVc9R75jXSdex\/MQy3tz0C1\/R9pqgoSpkYDM0vfe9xLNGDPFVSFge8aO8qxRfwTPwRa+E+fV1eZNG+G7V581IDkTv9FzXXFONHvNu88rcWX5CUEe22j3hbDzBNNMKaA3BmfWQ9D4lizq6WjVWfGp2WsgrBD3rJE+9H1KTenagucL9Mt\/sOPGn1pbIUkSqFCDNNaiFsa+6jqp2ijdEMru7QS3Yl39TDukKxQCCP\/iGoAyQQIIRO6cXZjVcAtZkG9cMVt6F6Ztwwy2f1v+mtmsMk4Zw2aY4JjNDnTgjR0+3yeMjwZ4RejoEweYBB9fGd10MMSagFcv0OFxb4jb0iIQsNHA7MJXwkNa3iGPSUUZAwBSKBETZnFuKeZFX1HLpWDE+zi40GwCehKKxRBmca0rsi2i0xZH2SMmWegzUWLAltiVTRlhSKS9MKdnD1DQJ17auW8RDG1UJ73PiLzIPKp0yeS8xZWPcsuP8p4MKd9RkraWX8YsWRum9tU5dyj9ekHnCBpC1jbntZiKhZI5s9FT0SB\/NmSEIdXF75rsfWeBFjw8C5BG9BcgFIihT8dSqhuiXF549nqPcf8djIAn24jG7J9UsUxUfKQ2vkKVjQqv+f8l+ds1PQoT3A9J8Epp2aznxCn4g7su83zelogYOPlVnUJGkPA4SZC0WKs8A4XZEHDNzQ+wjQNj\/Hmpg5QOa1vHkye+0MHm6VSCHKfgql\/Diniwkr85MFy\/GN4Cqp92PHiqU4OVcC02HNtu0n3isEqy0xvvPYyRpgRSnLN7QA3NVztlCV\/6I+PQDrTExVfJAzypboiIRYQv0CZ6fG8TejAOHre53KV3vODPPNG44uyWvOxM2lMIwPmD\/ksUJUbTeV1syaLWANqP3vPdlWHvW2RtDvxK8xdYKjewhcKhDj3EYsZLeDlhiqLpVndMujSUJIhzHbMo0XJzCr+pk6IBcxU7Kk6XZCvS2FhmmUsWxjMz8p8PbgTiwktElvfaYbSQSs0fC2d5Gtzk+e4KypHLF4Y8wPz6GROvgPVRVMCK9oxSkzPL1\/oRyEm8sfg7eHM9jf6GHrEiVNgSUVCgqAf\/5VO\/cTLR1N+hIemIsQj5Ly\/LoaCkPmi2\/wP9v35\/VUojMZDOEG9AvyPRmkvinCxqd\/IAa15fKiHA0RkvYPWa\/daooV3fg\/DgYvb0qcTN\/MyolAXFwOJV4gIv9pyHQY1U8BfLCNUbjWvjH5mHLeFBoTYgaD30T8Hhp8TGOmuZidAkP87\/J6vwcJqgb5vm4YZeCHTfgw\/5Rf6cxpyrRS855xjxPxphCmLqBEAl9AyygMlViKTcSz\/GSzlu5S9PepucMmTByX8uU4RBAo18nJH7mQtlAFKN5hRMolshC5WYNRhF8DU8hqs9zTQOmarmYiyO0WvBYQ33S7E1EeDifazSQYnpeGKW\/le97TAZYIMRO2ssKPIIsnQFu5xHyJHEGteg5Lt2csjctAHIy6GeoxYjDcIZE3lLk4tI\/3CHKwSO2b0RgnfPP+V2rq0iI3+3dP\/7tJkMje4w1JRzyl6uc+x3DP1ZIySxVBlt48arnsM7me6hLXMXAHAITzrYU0tzk1IlBkbuj2eRQ2WuppXFvOc2Oj7Rqa9Yt3tnAeMYMc5hdaf0zKSoBBy6Kv+kE0J9z7MKaqeFUgb4jJFLLAMPDUV7J05U6xod3mJpyHLcTQPeWb\/7GLP8YEj4XOQpA6Kik0yVlkPcWzf1HetW9f1sVCKq72ljQlZOCSa042h8bmQzkO9F4y05bFPS5xPfSI2Anf8Ugb\/C5P1bHqFNIvjVCHRsgv+At0Dd2TjSZDXtT2w3GIbxrad4xmWd0vBPp3UCpRf00bjzqOziw95KQXIVFgF7rFGoibZWW2H+70RApLrwKQPWy9bEsmcBSaQOnceUJxvs6r1c+ojsAAACP18TTPSdWQcBZhJBmLUwyVRcrnY37VSFsZ3hAJvO1ekL0z6fNl+Tu8f5tFtpxYlHS\/q2D1KcaN8\/qWuCQdw6qNghfe\/wOZVkIY+DrnCui3Z0YaII5t4laqkXHfsqvjNWM32lEzL8vfcj11DMK4ZDUyZGUfDQ8sISU8ispuRQpJOMj\/rwXwd7yXH9un\/KjvZgJa+cQH7BgnMVIoxk\/LhsKhKQB9yRgF0ZzhB9VUuMSpDVvQR3mEiwgRVipJVBNcHUh3JW8wuBNPATe903jJ0qNv9lxOLtJRCfhZqyNkMpgP5\/I4hJjCpn7bcNNlNj8AzZw0qxD4winruPn\/PFXQTuXisGphi4VABMUJp1qbYey01PzeO6RPyl1BBSHGOF7UVmfGr1igni277EGUtc6jpFjx4NUP4KpYdrdXJmwvz9wJ+vqfSFlPoSacOVVsNUdMty\/QmI3FpSziR8uec5P5Inom3NImXeOntoVIbRLZpjNYViLFzWIRm6UVlTwOUZMH6OlG7ZNSMcJXrndM54dNG4f7MAfiMwlYPSTr+THQ6AuUuQKGMvSe+Rfs\/0Rt\/x29xKBdYKjrz0vu3fxa0eDNsC3PvcgQkTsPtkcVt5FRr39yUz6pKM7zxq0ZBBx\/2nQqNCZtiegojvynl0PA2tmhUyOmbdLVKXgR4TuCNtNzgy5Ycmc6LgTpIoj8V1lbtMs9EwzavSNkzrzf3Ph7J8CkN8nUl24DMIu1PQvdsotcq3xA+\/2Oj+RFl+q3+MbHsxYdjT14DJLcAMplnQyyTPkoFWmXfLrYSv3FHlhsyld5hQ7RvprpMM8BUosi18y0pUFy8KTYPJROwL6ekBR37TL6I1cCH2IuyLWffkRPUHblcUDYDcLtg0HXMU5PuaVEmiyppsoMKl7ynEaXMyAz18\/7RB2tDQwjT3xPB1uXuUO1hBXW6pWbZuqa69O6uFf9faHujcQA1OjruJcD9OxENTrv+fymJjmoir511VA5ZRKOdW47YAAAAAAKn4z1aEf4Z6Yip3OmGs8TO4zmytAdlLk1KZwLd6g87E4QffER78F3Gup+QBU2oc\/R7mj+nMdPG9IBMHEILot2uiKzzKkGuKn4NkFZRz8h2Bkobs5NP5cVf92lHfPbZ5wuZedE2A2CgnX+2JRQVHBOGx08XeW9l2UmUl8qznKQzeDvZYPZ24TStOc8DAjY8er4bz+YDl8n5fjIdFySnMy2n9mbkPI+QFu4KaQjtAd\/+w7TNUgSCKfI+isdge55W6uMUpv8Sl\/bf6TLd6tVVnymyElfUgcxosThf3FNXwOi3M4fmHwE1TA+mD7Y9TWHd2eyPBKH80RV+sIMs3f1InGk4aNoh02bRNSRse67H0kb2XT19FxlHtl6PmyXmumLZFhlUnH9CybEmJ0vIgJIB2YwX87+Kkz\/TVGp6wPpqKs9wRlq5hIrOFnwvx3siF9tpVz3e+F3hGlzn\/87t3OhKDv9kWRoLpBPytWiCX2JVWxhv+vH8MSexgUAERIJ5sXlCcNpPPULO6l22SerDGUx7uA+CzL+wYkmTaL8QlXjRkENqhfa2CQM57sGiQsBTpoELiFNd3763bfV3WvNnmBJxbtAZlqTDXmmFtPKJRdHjt9Um7KoBHuCYJ9ma0Y+s4yUyDbx2PyDactD07nM\/nOdZuPuOcnQXnb0NFi7\/AAADNDPfcTQzvw1gZLC0\/S6PNPiTYwztx6YB8A1FrsaCreLYCa2+M+kymiP9cRq33ETMU6xL5QZIlQlrEzBISrLtwl+w7dJ7zcMQrMBhzUe0nCp0Bo8WXV7VuTCNLkaWaNARHvwhf2m7KY7jbc95bchrEusw4x+4BhiIU8F36YMyUBBMfBhGWQ0BCTTuHx1P5bCX03gwgRXezEsDElUw3NsMBYRFNqFxI2Ry6FLZpx34kOz43z21soR33mqJpOWh0242yxyErsMRlhQRyD72GZD9DBmpXUrfnCS8AgKVehFG0zRx2JvqcPYLY1iNo96a4cWz1Na4xEYOstqLyrdMtLhvO9LweOYdBhQOhP\/4k8KZ3HS\/FU+VF7XpueSj9ffG8yEJoDS7kZRXBED33ow2na4zTIioWGmLv5m+WIcLP\/zRDaB6NPBtRcHWqV0QNdu38KwNi5PB0U9hfXfu8D1tWgyKvjn369Pp72StRea5rpnq62Wtox6p1f5SaQjekl0AhJhfDMfBGyYHHlM3DI6N8Q3rZ+hxMszhB\/x1iyLcL+UV4aMmpZhQtNr5+NNy3Ch6n2Y+Mt3DxB35lYZniC81oo3PQu7z+0ncGPqoHOIn8EEKUPlMOhqaWcxueJt4wxdhKzo\/30f8RucgVoj0S36zjEzpdUqqvv54VfoqV+prYMn6ZdxBh6B6ggOSC2iceUI8vlQ2nrW+TDPCPyi9jQMtg1kY6A\/DFQxfyhQ94OUvvMuGUV0C2mHtYR7QtBF3FBxy4zLkESvJw4GJ8iir0ZfDt+Ewl9436ycLkplbZW2Y2h89KxtFfY2JmVhacf4dHRd0RYTrt928mWmtyn9VSffWM9mW1hskEcz6sbzz8FHgfmOwhk2HYsl1p9rToWCxI7lnbC7EFFn\/8TAzgU\/2q1dNZvhosbc4Mx\/f0zlY26NigPaMwVN0c\/MFC+DYG3oRtRvTSQaVT3MZ3NvFBYFoafAAAAAAAADElUw3NsMBYhSdOY4gLrYq9lwGh7nHI2w5QdjClBbYBp+bTw7AuTU6uXiZylMhfXm+7Tn1ofZ9PrdoLbrIebQIuMl7LEq+jWcN1\/yCT83ZHSoadh1b8hHRytwqRt5c5HdlfZgE2n0cOphJE5wYg4tJOMSYAC5upTKJtsZxnKESWVNDg7Rgdtlug7bIT\/n3zwukS3XUGQBvEOS1dJY9xUsNXQ7z3ZFNH2m6Ba0+6skIIzplWG3L3bOtGfV2s1r61AFqKlyWeG290B\/cqW0HChp65tmxVi4OMpAJ1FU2Qg0f+zz3D4EUs1VmtJRHZgQBCGI\/Vt3TViYV4ISXRpxjmigQDrxzNIuspz2A34q7i3bSexS68OBF9EC+EcGj6hBu5mEvEaT0pXeDIgcPiZDGY7fGOLyeO8qA+7PQRGwkUTA9zcWpwRG\/ztZli4bn7ehP7klz8aLwWI\/JMSzyL7mYjq2A3EZYYARDy8x16fflYRW12X2mOOEMPUy\/R5lf0HrcFv4DJB0TwA3U6VFX\/4+isWg\/iinGzloiWghtF104tNGWrtbCfgq1WD47eVTpSw6cgw2neE93ha+HRUmASPEdiEpamiI6\/n7K8aexQMSyIYUjK7DwKPmKC\/3nMixarMkX\/03tmwesvJIsZVYAh6iokoVFGmsDr2dJsBS2eJTYwuHO31Yad\/aluLmBaVkbPpRWHIhEAnanlma+wl39tW7yJoyMdV2g7ZTZ98A3J9fIAjRihEgaEjrKeQPc\/9oVBuboPgW8Q8MQCzDe5lsUXcNfFeNbeoieLuFf2CW4+LWnFCKueBdTea\/qp4ThKWUWMuCOTtN3tyW\/Qi+d5T8S\/3RmlMhfXm+7Tn3FMj71ffI4nG7ZWG3RkfIS75wiBJ6+dBy4\/\/MBjqixOHq\/ofGOpbexherl5fQUO81BN6iwFepVN09xG9MrB4JtDlkDgtyCEvF9RvDBzY\/P+\/u4yr7htwIV7Tdc\/zyVm51NnMBYSjbEMXAtmP+O2uNWGtGeVRT35NwgJBzAiK7muPVJ07sjDlQiLesu\/xcn5GR218Jd\/IQfwT8h+F\/vCO2cLhWYekr2p+LiCVGRCr5Rh9nd4ljqAVa3miPE4MjaGz\/xxyONnQujjvx2pExl1agzhzQLdwJHYWIj7be3JgIkAx5C76PrjtBn0cuaHFIHfI8xU0MGrlg03so8LCG6gFi0\/u263\/qJ8GSmYVjQnjuSy3tcNIUIri46cHFMlXHx0wFv9+YTYZA\/94D3K+VTQhh7UB8wODL0NZXD1shfOPbcBQhMOeNroXnouo5k\/KyAZVAQmyMmDRVwLF99BbPzDh\/9XIfgBnvIX8E+Zj46vnlvUaYb2\/Jaf41\/V6ih766t56hqm5U+sg3CVBol9bvGXy0xEcykZdjSt03yeN2JtCTceDwHlmn0F62wC9Tuwb1bQctA4sbRMvTMY9TlsPsyXx3F71lbZL\/ICCS5xDi6+LJsDh4u4DO+hFRUKIgN4nVeMAKIbiRTARbpvcZfu\/nsKS\/VK4PwVA\/obtFGnO23y4Mea2AbCkzxVubqEaMbG9+1EqgyvwDzt4P\/s3txwnT\/YS0qa0P1RQsLoVibbLwsaLeaYlS6bhEfOfKpHxydwEOPIiuPoCy0\/AVcqA0kVbr3AvjzlyHOyDh6ioSjew0wBqB599I6sAPTfzYva029YnhOUJ+KlbgjKAy7C5pfj1QLQ1dDC8z++5LuCs7HJ5Z209b7wNmtdIRs4qsMIaAKdccsB0BsS3oWIWNiBWadFuJGGtbUHsTRy0373t8YsoNkDa510EgaiosNcJnyvlVl\/WHM5xGSb+05wckjgAKHfoQLzIrgCTC9jInAF6d4ehm+QJbMUED4hfYfmQf8ERA\/PIBqZAxt8pIZOtNDvF0cCJHSkUes0Mrr4lQPugzQwvzGrFDvDIX\/vT9iguxIDHc+iYPhR8OSBntbMtOZlYHwNBOdu1NsQ6O9WlJ6LTXI\/n4vpKuGbNMkLHdhPtEUlAl5WrLGrknQEVKUUbA\/TQVSXd0qVf9So4rVaf86qfmnJHim25hhEDs+l+Di17+1D1Lkl\/JOemQ3aylN017NCUaDaZvPk+O\/jfK+TAMuvKJOgWHdsUSF9JFESCc153HessazEocO3L3NjOjWCg96TPP+WQrDqd1KqfbbD4qrrooWQYgqqkVCg6ifIYRk1vsqBh5lH7Q9yfjjLlowJvuePptV6L76nruYnBLscvCtJ0f+uxq76TMswC3A1th86DZ\/Vo7BHCqY0GVCbutfFV4ukKb2XMipbZ\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alt=\"Qwen3.6-35B-A3B-GGUF via WebGPU (Browser) Full Speed NPU Mode Direct EXE Setup\" 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>Follow the <b>guidelines<\/b> below to continue.<\/p>\n<p> <\/p>\n<p><i>The installer auto-downloads and deploys the entire model pack.<\/i><\/p>\n<p> <\/p>\n<p>You don&#8217;t need to tweak anything; the installer <b>picks the highest performing setup<\/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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#ccc;border-radius:4px;\"><br \/><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:28px;padding-left:23px;margin-left:0;\">\n<li><b>CPU:<\/b> AVX2\/AVX-512 instruction set <b>required for llama.cpp<\/b><\/li>\n<li><b>RAM:<\/b> high-speed <b>DDR5 memory<\/b> preferred for CPU offloading<\/li>\n<li><b>Disk:<\/b> high-speed SSD 120 GB to cache model layers<\/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<p>The <b>Qwen3.6-35B-A3B-GGUF<\/b> is a large language model featuring 35 billion parameters and an advanced A3B architecture optimized for both speed and accuracy. It leverages GGUF quantization to deliver a compact footprint while preserving strong performance on a wide range of NLP tasks. Benchmarks show the model excels in reasoning, code generation, and multilingual understanding, making it suitable for enterprise-level applications. Users can run the model locally on modern GPUs with minimal memory overhead, thanks to its efficient quantization scheme. The integrated <i>fine\u2011tuning pipeline<\/i> supports domain\u2011specific adaptation, allowing organizations to customize the model for specialized workflows. Overall, the combination of <b>high parameter count<\/b>, <b>optimized architecture<\/b>, and <b>quantized efficiency<\/b> positions the Qwen3.6-35B-A3B-GGUF as a versatile choice for developers seeking powerful yet accessible AI solutions.  <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>35B<\/td>\n<\/tr>\n<tr>\n<td><b>Architecture<\/b><\/td>\n<td>A3B<\/td>\n<\/tr>\n<tr>\n<td><b>Quantization<\/b><\/td>\n<td>GGUF<\/td>\n<\/tr>\n<tr>\n<td><b>Typical GPU VRAM<\/b><\/td>\n<td>16GB-24GB<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Script automating model updates for Fooocus offline image generator<\/li>\n<li>Qwen3.6-35B-A3B-GGUF FREE<\/li>\n<li>Script fetching optimized Phi-4-Mini-Instruct weights for low-power consumer edge system arrays<\/li>\n<li>How to Install Qwen3.6-35B-A3B-GGUF on Copilot+ PC Full Speed NPU Mode Local Guide<\/li>\n<li>Downloader pulling specialized structural logs analysis models for security auditing layers<\/li>\n<li>Qwen3.6-35B-A3B-GGUF Locally (No Cloud) Easy Build<\/li>\n<li>Setup tool installing LocalAI server layers with complete DeepSeek-Coder support<\/li>\n<li>How to Deploy Qwen3.6-35B-A3B-GGUF Using Pinokio No-Internet Version Complete Walkthrough<\/li>\n<li>Downloader pulling high-fidelity voice models for RVC local processing<\/li>\n<li>Quick Run Qwen3.6-35B-A3B-GGUF Full Speed NPU Mode 2026\/2027 Tutorial<\/li>\n<li>Script deploying low-latency DeepSeek-R1-Distill-Llama checkpoints for local cloud infrastructure<\/li>\n<li>How to Deploy Qwen3.6-35B-A3B-GGUF Windows 11 Fully Jailbroken FREE<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>The most rapid route to a local installation of this model is through WSL2. Follow the guidelines below to continue. The installer auto-downloads and deploys the entire model pack. 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