{"id":8365,"date":"2026-07-07T22:36:45","date_gmt":"2026-07-07T14:36:45","guid":{"rendered":"https:\/\/eps.org.tw\/?p=8365"},"modified":"2026-07-07T22:36:45","modified_gmt":"2026-07-07T14:36:45","slug":"tiny-random-gpt2-locally-via-ollama-2-dummy-proof-guide","status":"publish","type":"post","link":"https:\/\/eps.org.tw\/8365\/tiny-random-gpt2-locally-via-ollama-2-dummy-proof-guide","title":{"rendered":"tiny-random-gpt2 Locally via Ollama 2 Dummy Proof Guide"},"content":{"rendered":"<p><img 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PHG6E6lfiVnTwj9J9G7fIW0\/V+g1G7iW6PyeKS+4zrOdUs2\/E8ZAyisr0Stdrji9QWXv0T8GD7GDQWx3Jc6fOkgpgtN\/yb8v90YWISQ4FhETggS8sLThqGqsMsHwevnf4ri177WWee4RwG2NU+DvijaSAoK1+4TaUUw2conQnyBZYLbPmi0CrXbx15iFSd1nJOvyACYYGeGo3sl4wpETV9slnpI15JM4w1rKrnNwyQW\/ORU5du8EF7BixO4Iy7WgCKREzJ4ssap8qdVADGaCHAEHKlMejuAAJaE\/2DR4G30X8zS4ANVMDnYpkipBAvV0UScP\/XymYGjEhrRzh3lReSRa6tgYY6WGLGIIXFEhkCI89aaK2FdvXq43EYW2Fqx1a\/J2k+aFqC15VsuYPlAc+TA\/mj41gzBC2oEVqjijArKEQcNzI2T0QIYEdlWnQufHsc0duSMyaD5rIwRah37cnq0+jDLYJoFdAYtgmPjyUK86G+WxIq0LQpAmh56G1ceLNGcYBEGhRs5xGXPe0PWsIh\/A1SPi\/NP0Az3RQ4R8wNWJkKca4m0847ywQJBi3Fh2I5dbRlIpe+lXsH19HIwR6wMzuSidRFNF1EE1kPRK7Zk2Rnea4jplbm7s4Zom\/snSj7PzX+5BXyL0XAa8bGGPu6pGcjSen5OgJIe2ZB23zzCZ5be\/bfnOECzMTqjjKSXUB97dm+XF2e\/3E2\/82fZppG+w3QkZCT1vV7+8irlN6CWIA+dQVG7r7P7KD4HUfbqi8lCrQmDh9B+kvjDAzqdt0FKHD6jPSbiM0ZapTOC9+MCgmWDWF9g5PSlp1y7l2AmtKdg9cT34TovmOmAGRgolh3Q4Wl6Bf0izbbZHaLJSsawfREMxd1t4MwGKcLpkCY57nlqxpKXYyMW7ztMRbZDBdxJZK8o7lJPII\/sFiC0AEbsUGnFzJbisD3j1M+GdqI22kKsBR1w1Q3pgUs+slQqApgxwf2y85JcEO6froyR5DS22iCVophLPth+T0Lr\/zxDuc\/J\/X3NV\/vX3CJcCkZikdz03pLlpSlJ9xAX8Bdoe5lHv6xD7ab0UCSSOsw0n05sPX8Q9fadRmKYoSWUh8pmk6nAhoT78tKFteEEFAgTK+VOuLBOf1hXDEIq3BZVIBeFCSCvrHzpwIANyrWUG75nmO9pPtnNLVPiBVkynj1ig6kKgFBhxCPjWh73Kzto2iJk4msAhh08iaH1JcsZ0vv36O05r3FdYs+7DlLoT4PdfBwupVbgjMojmY2lB2fKqyU7otA2mOBB976Uj1Lw\/OkNLFaG77PXb2oUGeJE9CZ6rD1\/torXvZdle5I1n8\/dcohLMIdxD\/JScIxsgzktVMOvUCbCL38dgatkyzExptSTPH351P8Cfe2yJRD6um2UCBrbRvGkzjjkpOKu5Re2rmAciteYga3vVKO0fYJORxVBCcnc\/7SHOGqaXYMYspU7mUk8AKTtQKazNkVAWrCa6w1PyGmibAADxLLnPpsPmD0yOgGPUXwLVcWcx6O4CY3XdMipM3YVCv+j3TMsskw6mmfkmCEuO3GqK1niEPkHS3frOe4i36JuSAFNJWHG30lJ5Blbco9MohEHX067xeeMx\/N2Aa7wPM6HIVRrjITroOF+wxMYJpFj7rfL2N1zj96WFiHTE4BLETUWzT9HYNNjVhkZfk9yRR1jXz+VzTDFNReuaUEKudP7K83h8IehVkMV0TMF14VBrNwX2rwYl8nAnBwdHCOnJz7DkbA\/eChn7\/rpYpI25SvG9ix\/wPpx6pcr3PcHVY0xqOPQkxBe7wdJ5NFUBJfFXMSeFTzu0mF\/5IU+rO7qlj7OG1145Tj7PLosbzVTOSJjeRYQ2MxHyLOEG7nvM5s\/5oUlvFfVwkyzXQGjhigoRAWll8Wr7KS2sfV77MSUh6BaE8IaA3kKC6K7PoYeNXYnYFx0UUvxECEKYraMSR0Q\/kxKgFZj2zlClWvxFmFIye7knRLraVzYVSah7xMA8NQUEXd9FH3t+SP1IuusHbU1fA+Afsh1QbiQVJWtzH15qf04Onbo1MKws5I99V6LZr2K\/TMckTZSxEtw6ACZy9HOo+H5JiDKr0QMXHWk88hkHekwQioyyKhBhGubka4Jk+Lbxi36qtRS3Hc59VWbS\/eyKbGLHp6NcPbFW7vMxn2a\/imIAcs95fDsert4XVMCN96tcuSD9nlrN4o\/Hd7fEwBYTBdZx879PWZFmZZWvWtQ5GgJ6LiMPuuGortc6gDMVoFRxzXUR0I53U5ndGLt7cPnY2X8WONxSFTT4AOB0H1PqPYcSYKYkAqsc82DpvblNUNxcfnvM5UdY++pONRh8VpmVmqUi\/l9RblYwUIVv49f10hoMaS4lVwsQZoge6wlX8UDvVir+1BQImgVtLbsto5\/Xc2RaaN5K2kMGzPS5\/YzMbhIbPSdXaFo2lWW1TGwQE1MzX7jCqVobdUfI\/4cnT15upE\/MoVdpE\/I52MxBCNgKtr3p23pbiu0gq3Mi4oF9mXLFMQDVF4OerqmJ5Fsbtfh+RNoUq9TuRhiGrgQk2+Kp51N4kXTLuT9AfLt2En+A0BhmZcAoo3UD8NjNjJjq4HtZioIsTtui59T7mjinZ4\/a1yenrF4PSAwc9EqhKTX\/PiFZU4ID9cHmS9hqgmoq7w6fTOnAnGbr10zhfy3b+DeOBh1kGDjt\/3NENjF+haV8\/nx+Bn5Mm33Q7fSa7W65rxmaMEmP4ExvpSid8rgwxDSeCuJp\/pY+x3riQIWH\/XMxvluSAsF\/RAR3DoetQkntjrRIjt7vNiMel6Rhs1h12ItO2s6BFBe9y9cfDgFc7LSYwtMnpRCUak23BlsntIn2pFpVDVykrYFgLKuDgkCQzzY+h8+VEjpXboxorvoSzVYFljWZVqdNKPtjAqQ\/x2fY+40JP8\/5emKBvI86kgSKn0xJ25oMeahXPheKOpvNheyY\/O\/5kzJWNLjOd3quNQo9qWPX\/hDWE9YsF4C7+BoLTKMnnBvBX9TJCnmKLR6kfk4W2olRecz1kNoDqntCkcE8RG\/4reCvw2sPjLNHGYvTshdnr0QURJjhseRkUOT3XrSWLEME6I575f4UDzwc9FI1tWKvxtYTOj1jWdg\/ORonxWrC9E\/yCycKYCvPYT3tPL86ke2NNCxMRGh84dub9KK4AkhpcxGR6hnoKuoqNlFHFTiYRwKt4wVy8vyCGcMilMMbwPdIGrjUf5iE5P+LOnOQU0ovpxYL06N+ecOIEIvdZ+KTwZgAAClcd3gEMRQFTmxU7zLxgdS\/Oxd5JsIHxlHsvxB75wLE+rZAQSHZr68y\/nzCmjKhr3RFKJ5EY8AJS+J0KANkSR1aoGP9cRXpkLQHFSND5GhireBfVvAJAoTIbsQBsDGn2IsQBhZ29vfF\/9dhT0I9h1pHPFGj3dyQIjvx2vyVn\/\/ayAyaSz0Cax2jVWUR7S8S2wgpR3z8tHUm4T0QVGNSXoyedsutehnsmpM\/xNdWiKn46Xa4RBIeTcmtQfHXN98RHVgOQmEyTV63UQR03Iz2Haagts+37fLjgZaj4RLlyGjNWzGQ80Ddm2xpoGBY9go81OC5BsVr9rW6GKQyqqpu\/8NE00cfWgwC3oAsFg7+8B1uZ009yl+j7\/40tYU+xujfpQuTqHpC9kYZa7FjQgkmE1pblJBkQG1ylpKPcbWXTQJ\/9FJvkWZm0t9YxHEmVsIQTV1vyKbs66QTrYiVHth1s8YyI2JJkOpp2guGzcxBTpcykU5c5dNLy8+3L1\/cePwtOtZDsAQlMhjEV5lG90f+aKbPPeiilk5tcufrzb5330OLngdIIqkJEZ8JGcENxboheZoDtZEn7MMhRBQvVXg2Jlni\/jem0T0YV3KYfaFiYDQPXSlbmYBbYYfnxYmkYO0PDA69tCdKSREjkgi9eZHQTMp8mWstSQ1dOKdtrIC\/kDhxXWHd6cvUO1hk7I7\/kyi0yiqXqc0r0HGDpcK0P\/VfSg54ceukA3z50XFj9yhlg\/eDg0jCuKt\/aYvylz3puj47yz0bcY56IVj8\/SVyOV2EDkuNSww6s1egOKinQMRlLONqLiOkB5hVLaHf1BmUmaehUnqC7dGuGDXqaO65zrNSzklEc7u5RNKZKtlQVh+EzKp97mUHSf8J0lM\/W5ie86h2VVr5iS5GzcvV1sIgVSzdDyycd7IYWwRWGSg3Zg6D8k28LtntXJ9pBemwl95QIYCJ1aQL3gDRjHET83oTh5NZSrH23+NRLntkVuWVu8L2DzwZsau+SE5oHJGuBE66tulgTA6q\/XO697pEUC1ATegNVRcmFPZyMznOX1OT14M4puev+m48Qafb0odczD0C8CRHk8lNL117c8+Jm6VsHy2tOP9YYq8C4vx6dzjJDBbaFi3yPNZJaWOV\/C36cKYEZxpr26+UgAA8O3ujdT3sCa6F6OTOFkEAPSeEsk04Pi\/nMB302GAGJ5FILd0uHKJpdYU0nff4L7amLQTlV27FXtmKqLlZl2Qsb7IwXeqIoWxbBhEtxO0BaPzFPP7JbZK5akv2FZUNfcN3HfwRyMm6v4YPb2xno0\/xMBPAVYgm03YAIjMk4IhLPlwFB0ipDIl9pGpOTfeg+KaUCkgQV0adWTFwgSAz0OS+fIe2Psq9M4fDsU+HoHF0ujiMmSxs6iGHnZcUJw8Ct6XvZ32VSubLqBlxjJxbQoRzF3r1pz1OraPrtbqAS61L1UXKQY+M9\/HPoCQNSXTO9b4yNHqhxfQq1keWIgVgaLZUD8FZ++SU5B3QdQkJo1etckgL1AFqNx+DWpUOruoOQItQiho+pPDNBpFL0KIa1KCPGzMytdJ1JFYIdXt0aYBBtaX4au\/7SmXAyaaecmdzv7fCtrDrHQfulxnjKXCyrQhKlHajjgc7YLcAmvXhulVeOb0j34viD9Tp2Ok95xqRSfar4+ZOIwhcjIG2lsPj8VIdMHHYseoPDN4voLsnVyDbsRCwyEOTU20J03VnsE3fN3XegYtkwNPuk1Jqofwe+V96Tn8\/9D20UQKc1BHOLGOeoZY9g8NgyWE9NeKWwSODgsBK9pAYh88SnwO3+9FnDkPwJ08YHt4CJDRH7Y3Snzc66sx\/gb80C63M66eyJejVGhPp\/Qc+CKOWqfXRDgNrNl5FXEjbejZu31Pmy5lipmSvv\/9KlZZKAaGi6PIIRoNzrPMOleVeUpWMxM0Zz+9GfGX++uFHd52P\/UeYrPcAMcmH61jGZdkfTjjW\/VgZhjLfHuDaL0HmcsGXXinjTuExUE1twLiActwS+Onhe1BN9Qwd4S3r6tB+2rWVdu0esRrkIbQMi\/v7uKPF92fP25Nnn4amSyEiaP4xEuz2FKxrI5CluFB066tX844+G+3cu5+mtKTXfmqxsrgfTDgyuTg3I+Ed74Ujv9JU33vJl+1c+2+vJrOOa9AZUECXOwDipf0cd5c106MwXqkSIEePgUbFmOTH3txpo9LvwOJ37o6Zh\/Hd\/BQ1jxlmxaGltA8KMKZZK3Vnr8n1fCudR+4+pp0cruJryJCMHhBoVsnYFTMMjE2wpXWhzcGjvTdho2GLhBW3BrWuIKw6FmNJcG6IfLjU66lyQohnSV0B+FWcr5WGLr7huAdF8Q5HtNh\/WWQNXtVTIxE4POP3920NDiOzXpT+aMw+zXYQwnbpv3FkIKAHJNCx7+8oQK+rBg8wUAC6HSNL5+SX7aEgERvTSwy7Pvj8OoAHzFALEZuvEJKdChRJYD8FlS\/1GvbpqTIscH\/MCMpgvOs91xHkoe4fyNvvV2MhGcyelzOLSvnCb4JB1dXlSujyYHaHwYjkdLVnkBmUs9dpd1e9+PrqF2oYH3xWxEq808X0BMfDmii0lP4fnPYXX6w5eNdN0nrDVXgpfMfDKmfoVu+4uOVg6R1xHrLknd5eP3morLEmFNI8YivF2jAvUJLjrVJ78hWS8f3oYzFMR1k3Zn8sSUX8SMZij0Qhdqix5BCLhXsNfUZas8J9RRCbectOeA285c2XBE2dysbj88LU\/ZkcKk1h6Uo+LCa5fn58PXKv\/Q8LyL\/COr4cS172El2QwajJvpdMioyh4hMHnyT9ymwHoiFGYoi6ZFoORxFVKvk1wtSGTzoKizq0q+qkVGXOAE\/iBySYfZuTJ5G43Bl4FWoITjCF7rjK8uVUsVcAZS5\/wutWKbia0oqzJon1u9RIhwLlkM0pqlGi\/ukPviEERSJnXw7esSiLdOTblVSDxczhHaVbNgq9pdXP1a4PkI+wY+\/1+PyS09izwByk3YevwgSdi8L13gF0O4K\/eilLfgZh\/BE6XkKKjtTiv129Ddp2kHzaf+P2qZcAyVz16kyUNk0OgUkXFaC9zWQemQPF\/BZlxYjFJwHhyDnVHKEt+BE7NJP7+n1xlFVpAmVciu2LdABo3eMjzroDnnvSQR0okQLZEHRP9yWTimb37PHARFo95XJ0ixI86v1Pbf3ch0QuIFrabNOdmTdZhCKTAS7OO78r5SNq1Oyn7dJ9h3zU+W2qONWFbb43V+OzJoXOqbQZWPVFjq2aoWarPTd9kpxeBsDoGrHPW+SsqO5OklBlnX\/zuK9oX1rnvZtMAtkCB8W6Lt9kIG\/bVsBFN7o7v9nlSn4MRULRqe4du1Tt802uUZnIOEKqmPZWPdAH3HYZEAz2SeISVE3EOX+n6M2CLiqFt0NKNUo04LuuxL3ROeLInbTjWAfMZy5UB8PJ5NoNHKp\/2I91F7hJTRmxL6OUTsNUlWl0cmsVpZECumnONqxkCrwcklQ0B1Mh\/Xa6kie0jGVnvJ1JCFUeai6y34s4X0\/GDfyypOKkwllRGdr+Hc09VkGUmtPICvvdT\/Q9mPSfv6Vm5Xv9lQvozHE3z4WRlZqVi+ewvlG1RgN9hLto3Wveq+tPdX1UrMHl2R1V0dUClxFBL46fO9PDA8xYRTYpBxO7kDhM3lgmylAAEWTjVoa0XKlRb\/y7TNSMQbSlfDWsPvhpwecoHo5YPMC9Tfjwmm1yv2QlMOAFBhhqSn\/nIU9Iu6M61FV4ij8gbHN8LNvplnv3PPbOaN5opMpPY70GBcDkbHRCdmkQkt9dJ6SOAlPS4\/\/UXuQMJEZ0dTxTQL\/NvzVX7Soc6Cc4nhQuUnnzH20bhM2Qe7yqydxPDdMlVnH3\/fbqDaz5QgFE\/Y2ctcw37EToLIwMl4zXUirgrs7yfQ5kGWNtNegqqqhi9rFLxKPI9bm2gJLbkZs92wZNePav8DKndq2\/8Ki8rlZ8SvwsHCaDlsxXEVaPNEl6NuzglfJ49dmxVPaelb8cdJ5hrzkIX8Z0Hx+mMQXmwinNokABKHiFI54CmY\/lj96Cm5AB4ASCfoTSvQViCR+hBgheK8s5E+qUlPcvGOAKzxV\/F2vhp\/xPQPYpcBxNsJlrtzA8n2437XG64jkJOk6sR\/HcRuhJS9+H4Xtx1AtERhzh2e84bfDZMQeVGDObYDXThqFsF8CrBpjdDsVDaYmnR63JR\/V5p6AtEdi5hXY0FQsc0EpTl4fJB5EfyZMgUgGlz6MgjkAg+BDRRXZzCKQHfq8hRd5kjirR\/LdvRsO9X\/XEBxNrcRbf1H45cqv\/EeNQTi7rw\/sW742blU+ntHt\/noh7eFL823Fdk5DrAG4tSEjhPpf+X5dvjgpKDIB+WQj0p\/PpOaw9LKwnJmFXhTco58Bafgcrn8VZqtBJD3AH5U+BGB8b9ocp5g5wuE315I14diHWTFcor0QYutQA9sxgjYNmy0K3xHlrNOUNLh2Azm9dBU17nme5J1j5\/I+UonVBVw2tVL5CyPkeoQQfKMGBcHfUW+\/mtSqL7DuqPIZ9hebpi0U7sbz4zGxlNKqucwt5X\/b7e47PZYQl81\/0yqZ\/ambX9tKrM6fh668LK\/mPHtokIdxFsosctaGFSuiV2qOaWakeVPqqJfl\/oF1ArEXlCCDvCm8+yoUQ9l4FAJoZO+4zlSdK0qqWrrALyztEZO6Z+ZP6EB3YHks2KwJlB0O5Ip6srt1MbPpqV81AvobnRw+ttGjO6Qt+swV6Lh5MsfTTk49k91YLAfV5BdKif0wR1nTd\/dDmBduSx2z4QEmIxc1a6ievbdAzzgCQBRxalMzOhRl+dXfPOz27nu9D88HNoOIB9L1Z7sZmIHGrrtAreGVQW3\/Iy\/Uuc\/7sGeiZz31AQcRFDHQRqTGM7q8csaLTP59hGX2J0HCvxEc0XTYP0or5UYi1vhAKIPIAHurlwvNf4Z\/d9o14KQEJlu1FIkLWGBWv1+Fqdqm1k1cebbZLiFhglfcBgCVr6nps4GMdZJpPqKM\/DrClqmtCZt5NCafKJ\/UC0905aR2JFZAxIxHcdW93vldqG8SIyDGm+EyrhOBkZxZ9Zvppu79DHX5RI04sVki9o2egoL8IITutLpm\/DNO8dT8\/14DY1BeY8szPEieek0stoWLBGQ2tq5XoXs3+TUNAjULbmFwe3nf5tkUft2j0BQngHjlAE7Y\/lpqaYPbgPU3vFAWKJUGIU8FtjsZR5hDyYwa4X+FZxO9xKDZYb2oHifV\/\/6bN6H9FmpajA4hM9YWbTagSApmkCb5Ao+jaeHSaHMDdSzxaQjf5sIXkM+qyZVCjZADKTPsJg9uTN+MFnPSn2PxJePHEW7eH5FwoPIZWNACG1\/tcR1XH\/RPI8ga9EcrjJngSpfJK7IuDgjZgXffHyNE\/hOBfI7dnvq\/77QMls4O3f9mZhDtWK3SfG8TFxuylVJK6P7XZVQ52BLo9An+Oeyct4+GXq+hyrkOLtE7cfFDgFdoqTvuIY8vU+6PgtdCNfHaRHwvaaN1cps0NDvZ4FOJuo4XAfD8lL3HH\/3WPznpvfExQxSUskHQ6KikmglRj1tCGag3QDza+JQukOkTYCL7k5VROs8bvp5kVgcxH8G1RPXQm1ev28vxymW761Aan5DqSLwRstht8xxYB3O3ZcGq+1HpAsxAqf4buhFpZ4M3IkTrlPjf4gchC2Jmea00ElZFKKUPgbZUbBXSojMNwA+IgsyoeqI6I5VILK5S5uGZyTTRunQDMEXrXx6Uz7nwR5TPm5QbATXiqNkzXqFhtrb+bWi5pIoh1uy70tqZB2gfuVyNg39xGm\/Yjus\/JnG+dM6oHOQKKRd+EZpM08mxhLQfv4ziCyjako4UXwNvdX2ojSH36WfMdlZ6\/\/T5jXClE7GFVShGJ12MQLDei3rn7v2+PVRgKLh9J+1w3q2sBXFbP3MCknwxgiUKKsod\/tBYy9efD+y6SC35NhKc1cgyjv0d7ZzDTJLGOVIRjMBI4Hp4x286ZZI4EvKSuVgf46t8avLEH0LDuJqxdOQt3ne0Ab4wiMqmuqIYYfRUJXY+lBS1tMsEkBNpxIQvPciWbZDH19\/nL42nyLKqcRqGuMCakR9wVBgEUBKYmp\/7ab\/fIzmy+zsnS\/Wx\/zMuSsv6YP7kcWEBET8lUwk4IulfaMzB8litlA2Mdwarc9zwW+sT\/Xe236FQ+TMnBO3k07+Ysm6KIErPGuygKTXTdRxsJnPefwPCXQNQQQaGyFVlzlnL4hH7JjlnWDTm\/2MnzWWJuytGXXpeCeOzakbNm2H8Wq8n+l\/h2Lc8EsU1tTkH9nRPK0zDpUCx0ExKSMxSa0CYooCu6boCeMfSexZr1V6eW1UuH5FKIjSxgnE3jIO3H6q5c5E2iTawxQeDmLMURj3NZqZg3pRtnV7sRsAKpb58f\/Zx5pWsM61obdbFaSC6hGNMWyk0n0CWz9YIZHAa+fOcegpdaL32r+B8Ye3zzcJzYiuSMEU6qOK5llu6iWZ\/4ngWZazOl3lrR9HWx9C5mrkSTNX+mq2I7i06tIwEqN3uMSLd\/RgBNbvBupDwySwHmNMv+v26kFLI6\/ke\/QNiTpku0gbWexHGR\/NJW7RuFitRJ53P0KZBiDeAvmczsRAdxoL5pdaSBrlgIjKepeTP5WlgPGIT1MdlSm+dvbiloNwMK1IQPZmNsRPVDnq8hpdyVKyLc3zPBqqThEK4eTIA0rsB2kiEFJi4VeyyeepOCY7CQMO8k5kvNyM9DxP+jYmpoH22TTcqJo5wenMGTAA8s5jDbGxFLIYYXP6Vy81c2iE6MLLMl+6XMZweBku7X\/0Eh0F3MHFvjOgY+3oCP7bnRGvWFQAHUypNxJlD8ClWAbk226jYnheLC\/9h9vthuf8LMhfoea5AcT8Pvd6wLDPDUzytSFHdG\/h0oP1MTayluSbl9AVEmGpKp5l8RLItx4gmMpxbZ\/kzaVdAhK472S5lOLJH72MSJO6ICciUUZ0tIq134GdoeErEO2Z0dqXBZd46lk8ecdVZzVW\/ZFASUn8UAQfYx\/XAx5mAgXfv9ZejjR\/JifWowKw1I2\/5+TZ99Le6Lv6qDwkM+hIXmVLi13k0V10TP68Ne\/2RoGhv260skl7DebAqybrEVXohb\/HH37vrym+pw+ijn2nK+X\/0ixFPHGvXyhmMza7tAK8HTPoOKi+oVl9fNnPNW8+cc4yd3bqkaXfOjiEmaOBkiICQ8VqG8d6pbCbxMwe1\/Hx0IKP2OVUC4ZP\/Mn1LZXKZ7FvpcihcU96rwfLPuTPSq\/6abYpYzBr1BYZFVibvxvJdZL8QSRU2eoRzgj26bMKd1Qt+8D9ZbKSmWwtAD7um2OIWHgvAE\/RzlUZtODTBx0UZ3Bv38t8kdqtnypR9h2MJdatJmyAEAeWrVFnmOI46ZuIfuAFzoZI6BFK3gecgnNSYHnJyU8aJV1XArJEHTi4kBp2puGOYtzcj4VpScX4ajfMcjlGdkxn0j\/HF\/VJh+2JhQldWaApalwJlK9oceQlqOUPW9DvpA17mKoJDgUR1rP7l4Yq6P5CaUpfKzAx046ZyPZ+MDPJrSPfJWuhQGcqpPI7mPFWyXRtca5aIQRAg4UQKtjhd10Ddk81m9rrspTJZvZM27Yb9077Pfhzm3bpTBTHh6yRCBtU8kuPCq6eAc7hvmqKwEayCfAbhW\/7hAcpT0bOzQubMx8qRNU\/PFkRL5+2GOuYHLkx1T2VlePs1n4YMMAhR6gKdxM7HTmYfy89MPFFDTjE0LGuqzurT2NyjccWG5bxhUkItjPeXeQilGCtiALtJ7iA1FBFLjfRHMKupjlZypEaoc24XawVu6wEPUQGPMgRUIe7WzZIKR3kOdyQ4N+25664GCGm5sMtCiItoteFCheB3KI3P6v1EU6WHfoR8\/HWFhRK1Xd6tByp+h1UDuqdrXYV2xzXISMbG4B06pJ2IV3UGrtsRf9rFL+N7LbitjMOwJOTxn55syNK8F7\/uryCavPXwu6yTkTrQvS6KJLXYRc1iz0GSOnPaK02RlX\/pYT+DyFkrjQezvQZPZ1BWziEUMBCjKhUmrmj+5Ye0gZThRwox6Mb20ROE+S\/qd4pR1XwbH07WEHqHp00Eo\/\/siojGvC3RTaOXLXNSy26mo2wt9C4PH2R8JxLTjGwhpNnCgkNZ9ZEJkhKQEsAVVasBecSz92JuO\/w4g2iardBEZ\/1nAKOKeGokcmKM5A0mEvieRv2wK1x1yeCfFdL\/xSRFgPyNgSwzIG1kZ2Z8rLSQNIsZXQbABVJwB+6MiDXjNlIMia0f+CoXTlv4oVzgB95QIolmg58c+s6bQ8IcOxV+DuQhF1tHqK1KhqEHhegMAvXMzXetrlGTLJ+zDEA9UOwFORhL5RQcOiCCFk2Ekwgm0VcDMv2ab91WT\/xVOyas4m9+PLKw38hPWnSiKyxu38pc5E\/5+aqTYU41tSYnG4OA1s3vi43p\/ycCcP3w075HjY0\/SFikm9GYLArQ8er89n1+xHX2ZVr3sR4wyA9Lk34pCUdrOVKfxYG1fSuqHV1ILcEVAvrY4LVRp3tNxyoe2JBPsy5gmF0NsGX2uh1c6p0Ydy1KyFvrKBC9DyVA1EtLcssvxy7bmrPt6XwWCVt3LXlGzNeNlbRGIIX4D1NvMLX0PN\/HaTigsT4uXG4L18YvLeKsYSKvYFbSsorfcVFo5lcv39edBlB681bBNrTJR4bZfoN+tAF26rcOYw7z2dm8NAs5rpEFTczJWyThIrhZEYXftTCLxlikJDePWWK+e0MnfuznRHFg+JAxuhEFZrl9jNOOxbw9pYuKJIyt3bEEDCw9xDF\/IdY432eYgTb18uURi922xMoWK8JFDeUtbtHVQVVbgBdZqUQK04lLs6j0ob\/rNSBKJoNmK8uwy1a+TVjcpaYYEu66J09dHpuNdOgk2M5IxJKfrEE7mI0JONAfCGba+aSbQDzsaZSk7GhI8pfaUu5zzH92idpqBhBpBHKmR0MQ6xBxeUpEBERzxILtiWB2KQafTiuXkenwvs4idkhKcOhWx35ZcBzC5A+b2Q5JWXHc3F5c2rakr8i94ZYILvD2mRd7XBg1IWVesBdEgGheFjgRAE4iqgv8Tk8lO5ovwHx+ZHceE2pVq1SJVVLVDqjWhP79TM2MlOqSzj+B6BE6ZZGgAIwi45lb9ceEhNHCX9beCwp63Ymp0H5Dcgd7um0u5uKu5ehxg+lVnC8pQLN0so3gj0L\/zAffeGnBmlKfg1oEVs+hyBXCjiomypWyyU\/SYUtDBix8dt5acw67+jACgO1iic\/w2ffm6mCP0pgejUmxqRXerWNWy2jtiToTJ4U8ueXKxfYMclyyt2N63Pgq+d8qwep7ZXcFxSsaM76v+HMtabdaqd+l9tNmFDtFnxu3AeceTiOHsuMifrj0mhzlEt2RGPAI3r82zXH61CqYi12QL4Bgg4BTHLjZjHFxCIAw6T+\/Z42Ez9+4zMXAIJXUhm7a4PrXzqxbtMpdGHauZViuU9ZBuU8HJe6QlRWUHXzBkUIbJG3XLVrXG3JELJoIvB4\/9gLbJlkK8Su\/fIYXwRzVSTZp1GfZhQn1ZOfgJGj0ITEBvhX5a801OYiAL6yEnXzwtwIVn6B1jmX114ViGXc2m\/x0Mt9ujRFq5reVI0Lxp94VzdW6FzzhaGgY7h2UStaWXroYGyMJuJZSJ\/nDFsT4JgrQZ7dEAdu2Gw3AVJYfZ1SDrTgjH14JW1QXTePMg0jXUMt9ueGyudD0MMA8fBB91UX0ToEeZc5hF1WXoSDEBwsr0fN\/JMvHb1MZIbkTPBeAcvBvqHvvqdtIsDT\/yhHvruyC0d9g9xy8nIDV2aNa2\/UM5nbxtPjPelha0kBU9rMg\/vUd0PDIxrKZdUIPLGnYT7MJ8uWMVr5F2+yfnCRfIvM2S8hKRQh0OUjU1dKH\/EGblxTvz3N5igQbwgu+zC\/BLGKhiLX9BmkJ1XMfQiRpLIkiLTZK4dssi\/pgYGtgNrbnfiz4AKe3HiOOa8r\/gJ7YxPXPpp4KEdusXEWGf7IzqiKlRK9MU0XgGfMwzPsRngUtkT1IpeFH5K0yRoihebkJEbUgm3TEibYnhM3sm9SY8SFseDvX8yJpi9+OdbhJc1b+ndSFQy4Yhk\/OrH9+vBWQuGPl+UpkhEGnB\/\/eqfbEZSNV\/w+EZxEYiRpDvdPRT6xzgsEuRuFykKXUdKUYR0RXSgV7KTBUhCpZoTiXtnjaVfx15YEi9fXyxjsNHX8GzUFmL0ndMyFHY6g1T60NzrIV+yQRtfeEzWto4Jgk+7mfSgmJSFv409ftUKUMSqhEI2ZwbVCggfPN4itKceswBXjvQh9t2M5dGxOjM8H9wtharDzTIrYERzeU4uJc2rzv3pvGGGz0S0dp85zYhWtoiJtedS+pQSwviXP+CSozAAsNIDr38GfMYByH999OWX80zXeqwPmIKDhqLz7kNpQJWRcBHUxbQsG8GAuAk0CG6n0YiDX7fYx3FsxDyMiVcf\/4BsqRJdS5nv8TfxJLTertOSwXl90ncgJOi\/qiN6k+I7+GgWPSkxHAPuz+zmsTLlWPqcHo5C2P94qCCdCje2R04tWKTQozvM2Mza8jftITbT\/QUpGb8kXkmnD4iswQqQKFVwIX0ztrf0ACS\/WxaAm7Bkuhf+fte2qM4YN60seh\/7VSPz4cMrsOv+TMN1\/10JN\/le9pdqs4+yGJVNhpmtXMq7n8uMsHNPZS3Nlq6t6SoQTRALU1PUmxGUrw8igStyjuWO38xM5yn6vLnwD5uX9gJPik+mRs113+0JKqg8LQqTNcx0sIopMW7hFmMOEdBwndEn0WKVxUj13QIHVkSq\/Ztttotx6AX0Rt5dFTKWTp2W2E0pxNUCjEIPhwq00ToYWPGBS7La+tZPrIkQjiLrV7FwFjv0n09PO9t1H\/n\/n29LcFUodvuM6WOFv3s\/canAyJfy1DPjgP1WKHiNuNx+REaKJvztujZWeh2UMoplUKifgtrIwTR1VwpDtbHCfRGdozefQYfwFd1flHU\/Og3psfxvzrgIN1MMg6aNURD4ZfwNY7NOEqcybawB3s5o9FVbJzudfKxRiNDygiDrXpdb+8EVH51aPt4fWs9MEE+gYu+mNTf7bvS8ErJnFExfNbsbT1WRnTUcSutmwiAmQfqTw2w7ORweaLmA29Ik+b2qvw8iBXWUB9mZyBakebKa6\/cWXnQRXccInYx8ug11Vv0bsOovghucolGDKHTCvGdHPdjiUEJHrdgvAP4tSEEh+yPGRhk2vKXAq98SokOLqhROvbRXDr7aDDZQRkh81\/gigyVR6WgquCT+zvAjom0D0OPVGQ5418CPA14AVmXgmxh\/RebIsAckUe9SRr13Vm6CGP\/kVVFj1slkUdNg+WEOuHMtWebuF+v8MGStMXQjPaWeQYNXwLuy6cY9pN3+Ea8znDVOZb9NAYL3Fs8YxVFgRZmar8ZoHjrtErPZFdNuwDugGCbKaxLRDpne7V3KW3CDaNa0A5gFAKOfiCkS8jfQfijBwVvt0DWuygvHFgeaOyEQCrfE8WbLItFZ1NpUL0shhr5816vhy9H9CKYTKzeGvNmuZAHaBhCKMOh\/kWwk+o6QLQPC58xIBSlMXPdYP4xerHAFTM9bZKtcZ08XDRBoVaLcs6fd8k8uj\/kDsHTEFGVP+ikrgTWUqWwTVgqYW3EHCdRIkM7x4cBJyYeR5ddOlyUxyONKjf3+G56o7JOYcdaXjp6Po8MDmXB2fNPuUoiXJShXXdcmRX3FbcQM2i02x0ZGxkSBbGf27cD\/H5O737JzyxWncQX9fQDo4x5VdV62xXD8+RNKaQsP7WcfJ+NnR89+tsFkfDEcGW6xmQi890uHzh0PLmlvSNaU0SfHqXexp\/gcReGLOt3MWLbdGUoXhrMfz4vwL+KhhnEGtoY7wcQ1l5plhoWKgImGx\/CiBqw22iSNHnBlVtOOTbBErVC7TbQlUlZNwRWYGDdhKf6PlYh37Jw7iLwhiatsOrKT+wL8yLOVC3Wi9\/Q0Zky6zLBWHQ+BXzxX6SsI8K5L9Xz3VJ6yfgAWYVpn6DJNYgfSYlHOFl75Zlux7k\/6uhe54UvxXXDTcaTN81qrb+TnZ1jEemCevwiPnhh5b+JRsEfhdEHwbTRPFQdpVOezmrbsku15UKyFxhjBWQrtVyNnjt8Pkgylu9Qcr31q6jUVbyq51SV\/jXeRR1qcpGXDLm+5X6YvO0XyyxZU5E4VVA07NWnsvaCJ1h4VNY+J9TyHiL\/0e2JfDQLEiHmN9+MhF8+S9H+moQFEYgr5h+WsE6xaXTGA\/BfiQrjCawmwCOupm6faHUR\/SxyJBLQy63XUAwOAGtWHdzd\/E\/kqn9vVTqU34rhZCgIuUB8fV8EE52Wd5iiL9Hyeqsi4L+MZpYgdigm770UcAnywGmSHzKyC5Wo73WpFWa3jLWxSiG5ctU7Lhn0iOm55W1IXP7YNBfXlti\/JQ1bHdsvr3HwRyg0jkIS7zCCBlbjJ0XR2JvzjRf0zj+j\/6HvtZxDJOIzgqAWN7LhHkx+niv1Lfxw572Xb0MjVfzsYG2yQKAXu65elxxdPP3aCEnBfFuma3ScJWFnCowiiLjmEgzSi5LFDFrzLsbnaFnv4+HnaflhoObNaKKI\/oFz6pIWVeCnOgCfvYFBh3Nbl2qgHShQt94kY9wMwPFeI+Q2d851OqV7ZVkeD\/hedMVB2ArCxMGswzmgOPh6PahAHkwNf2pqIU1lUOYBR\/cQ3IPaS49dolcvMmWx0Xwq667B\/SjSjCU2H+EIy8WSf\/C0z8E\/qpdgMKke6KBA0nv2NmZ8RJ7eQb5iV3Wene09oJwvG1iKhPOj1NaUCaLv2yhQCmp9+WSEUmD2ngNUI5XtkwuP4Xq7AUu4Glz0CppVYRc6kMuEn\/xyUQ0pi5b7706otDFfH7xg0BQVKLkmIJcT2\/tl82HDG2EkMBvpvNV\/yEkRr0kU4SwF1HYW7WoTPvjHXYkP5czJK0PmXifZBQNacfNVfNMyS4G2bnhOQeMntjdp\/Dr9B2eXzk1gvsYQtEyCU8fGMluLTR54p2+ZD4EwOMXBs2F60xpI6dsEu2yGabvDta2pyXm46wyKZziyGxlDiocmGmoonPDx4SGEC2GPRpqzzqSuJ+CtQA+qpD6u6HeMRZtSR95EIYijfNMIl4m2Q8mEaMbxkaiGvtolUvsUG1fNJibcfhXiZzbxtHRTgn39NgqgurhY4S9P\/NiKV66+n+WmDgRvqG8AJvFJssIOvZkZFShwMFxpUu201ll28Zkph553u7McItou+jcLQN5nc+jYvMWEniKLcb17VhW4sMEIKOn0V1P4iJwiAb1zLVYv4Vv\/IS8d6d7cQlVhaGUWvmeeuq1rFAoobMSMWerHPe7G9nLruuggrTFT3bpRwO\/9hf92BZntYenZZa\/nrNFN3GtxJuZcHh5VZUUGYWNO1SzJQo0MCDlTORVEEdl87oJMArI9QCiw8w4+24GKaOFYHo\/x7MdZPiWejuPX6EhnuDvqxoH80Fnl8TskRXORB9XpmBStcXDSBVMMYjdrDzGGuszRFa\/hS68e5GLy8uQ9yXuK9968nxJaR7X2E3\/VbBgqUbbS7a+OgPEfVlGtDXYgsjzKxQnhdx8FGSCKK1PnYt4gcAG\/si3DPzKll3Vgg\/bXQ67ZrLNoqZ+UTn+pM+SfeztOtE\/GRQTd4ilfDrV6bTaeE4\/PtJvuY2GyyK2K989h4gh9yjM1FXuDDj7lHcTT7BAPQGLfoyW6ZTogLGSHct1wUK6rLN1WYomd2eDZEAxoyh2Q\/Tf8Ipj1VHz1ShGT8Lnf9Hie7C44\/p8qBWf4orzruVCnfrlSTDXaz+0xRV0lp\/1jNBiLAVd38WVe+aO7BS9XhmNZVeOaUXY9+3dZRLQUVA5Em61CPhLlJ4xVEY3FJgasbySNSONmooIJEPOhzVxpeY0DxR+5Zkng+BJBnWfwAA\/40IoVSXo7MkS57DL\/d1mbki1KQHZDmNyRYfyxCQwMllycnmzrzUlG4wZqeCOP20UbyBWmRto1adseVPV1HOzXLjb5RuXlAKycJLCZY4XnYs7I7+Mo34udYJFaj\/V5mpox\/IgvULTW1anLSSgOZ2GGI+CP5A8N2n9Qpd7XdpVGCQVR7oh5ctKM6O\/lvCIxvZjQ7eYD+elQvbhHssEFqwBx8T10GAYvsheAj6viAwAE02FErFuaplQa+d+TdFm6O\/MTWRzwLI\/Jqe3f1SQxCbgL3q9wbWk0ToKyeGXWFgUhP1EghLrrg0YCQ1UNd1X1BcXE35hTDoZDZ2BYYavdyQsDgP1rCAqkFbAVf35gcN4HnyQaWg7joHT57ZU4UHMoBLiuv4QKpFylAez+m+ruLyZpvDlC7LPpP6zGr+XqeMdO6BLrzLKbJjJ9rZhSGex4cdgmcOU+mLvYYnENcLcT2t9\/4VrJZB4\/va3msLBmiv7zKKT7jAxGdxUDy8o9T8Dm4SKGhrOhbm4rmKP0M88oKr\/gVHARWFKZ1tY4yHlNrTDPfBhjKV0h3T6mrFw4FXZbq+LkWrauJan4vs\/pT3vr+2PIOH3nAbUbISfQQ4qQb0nRRs33bh26FRmmFiQgZzRo3J0ovPcdO8+2ESb6CEl3dKAM+EFuyL5A0VKhLw0obuKqHPMavIBp4aT5xAySJ5Dxl9K5n2FH63Y1XQRp4AFP1hFD7JTcAbSQox8kIuMl04KT8klTXCoigh4O6Z1LiDY6Umcpn\/zKoJ1vpAToPqKV0UsDQjfuP\/x7icV7uFbipuduIaMq8FM8DeVN4zEMz4hnYMOPJVH\/rvCa3svvjjstVW08GvXwrwUwmipABUW4dWz3qDCCdAbhs5jtWky1o35O+iPFWj+OqoplsgGU+nzrGr23GcbZhz\/oTck6kQK3j+G\/GnxQtmFg+aNojKAaziutP9rHJN96dVwR5oTO5hy02UaNIyH7QCnsnJkt0K+S5q183V\/Ho5YzfHj\/93wv4wMihlgpEyue4McxTHNoEH9UBKYWyICwFIjCWPoZwrZTeX+Dy4cvT9WooWG6nXo\/rIkZlSxDrYkBzu3sNE0+eYvaJUpZDkdpUO6R\/5z49GysVTwD2X\/FfOkTHJzJtb2YxkwTHVbPQbCDNM99oHQBU+HqgnqNvRY55P9BPWZ4do9HuXUNT+QWNWg7j2dnjN5FzlPlA7TixL9PmZ7OhnWKegyWZ6p4h4lyfrhyJOVDJE2coOufjunxdlRIbgl2IF3MOWjnv8dDT1pcUVvl2WGDktW5y3JC2m8q9ZS4f15ao9FmAtBP1lqFS+6rx5fxDfOoC1JWfAUaUvQVhf0NfQc00gNMU7ZWM+CXDUEd8oBnAiJ53Lp1\/vmWsqtVIP3lJk3AQGKZx+kZ31fzot5ApUAvbqePSkslraYtnehG9FM1UaoSkxdkB9OKyhqRHLYFz3OfCpMqg2zmY\/7ASP8gJowRP1F84qAAr7x48UfvRBamfpHhGEA0ddt7qVIJ3AS8\/F7pauOO7PTN79Nnc9+nzy6tz5TfiZzE5k6o0ZtOhHOfDcrUcpSIAsD7cn53uvi6kAVbU6z2EH7CEqKySzPSuVk2CYmaFq3KRx9DAX5Q1u+wqYTA8edLCUMqG92wKlLz\/QI72KzNqn8UvkQP7RDyDC\/mp23xbfHFuOdJEn0nmnC9Ru4cYteiM92b+9rWpsV2k9HOCamDKP092hiilfhdHeogdOqRQ3zK3fuVHo68n9jQzyBR5hZWDcCsRg8DYpOFHtkq92cqUdJLduLBKavc8+CIcKUGgv7\/e5O+Yat6VpjFf\/V1FQswarYHQxsoSMR8faqBWpR0VUe2fV\/paqRjE6jRWUgSgBPc9Budhjs3RjWehzO\/RBpvxwtNfW2TyEepr9hoHFWtdFTqVr2wP+fR4tu5cYPo2XCIB9uGrXtsDhiLLJ6H2NyOmn8IWJwxkchGN1RUWSHJtSsTO3XK1gWyIBesaQW7UIGjnValc\/Ne+EO1K46ifvgv7aEzDdXfD71imj9LMetYEm087Zo7lCYVFwayErOt3KioDLGZwxAhSnQo3opId7Hk0LfvRPfFauvQU7APrzgVADHLEAwVMACebVIZrzOfTUQqxg\/C5Os1IXr4KAN1rHcXFVbKwGeW9mzno3ZNthAkzzpxYzm3J\/ilvsUBvxtJZygVguSm2DD4W1bDeyHowfFRETftgnMAcgT54diia5fs4kakE8NpoFkAhN0G3NQlNGG3XCXRP4InApciVUMGqr4stiA\/eo\/862Ev4UujP55ivZzrGa1ycZmZDyppEcS7tPflAONt5mV\/IYzgAv1sLdfOvQ1eP7UcpyoDDPMh7G6xYjqxmmGsf78QCrd0qsJLY9PoY+3+Jo64RQVNicgQ8Pb8pi1GkosDPfWyFq7kRygu0J4grmNKgKfu4ztwskrU18HwbsVmPUb04IX7OKyKPuTnKnEghOQxnnfFTBm3DcFM1dntPBpJAFDEAyfNBcjs48B05dN0AhwgYsnJl7LIlp9cAw9m+1UWDbAXz+UnZcqnP\/AJoq7hbUtGXV7gX4L0XrwDQro91nfi7qADQ8LcHRitvQA5zsQjUnP0KlpVnpCoM\/ayWATeOPzJrjJr14ghx+cB8Fch+BM5DsWxAWN2D5+ZQZqwN+nw+8Nc2cdf1VP8olh+VsxfBiW0KPizSP38EeTzP5TDhTwCL3W3+UnBf38AVKw48qpJKk1R9XFD7CQ1HW1K2jBb+FfeD8iMiVNQllrFRt93HBYuNMeHMmtVgDBHAkHvFCfM15f8Liw4Gx7GJBUDip3ZPtzFCLrD\/CxDwRfOdUYCNYkBrxMV9xiUiu778L05LQyWide05n\/sg8+4AmHRwl3ik139HMoBx9Q0Eo75LX7uLkGAF8RPsXM4oq3YfKJvBUtqTW8kqPUK+7NHETVZH6t8YLKr9O75Fnn\/UamsPAMoNRePVa5atsqqDQp\/s5bWOwJB1hQ7NSr6Yb2SXmIf\/1UJqqfwQoWgu5CIsaPw1WZLheuD5bwsjxgxAYBnGQBC2twNDs7kw9qztDsz1zv3DeXbT2uHXEOwj7SgCpd3UwogfmbO1CZqM7RkAEPGJ8aDYOQbE5WJMjOBbdYSj8yG\/vsNxT3sndRbYZXKXZwQy5MbXD\/AmDn1XBq1FTB+9hpJgO32bZsqy+MDz8jLkZPVpbJ37GN5GOFHNW7wLNhPjWF1d\/DwjNgbsWlss9eg\/R+xa5LHeI9TAHpzZtGuuyTz9dx4NeFm4k2ExdVUyDCeJdD3PAPytrEnymJ1KS1nPdd1h6ZOg\/0nFAdUJTYPLJzV\/og5DtKT3FIbIeMbS1PsWynj7bxKiK+9PLY5UQ8RxhIsfJ3xEI9ql5hR4V6rAnqJuQHfVFhH+3J4nAJkrTZdUV3wKw\/zcAA0oNgIopl+Zri+ahrxokO984n2H8I9GtEosYqkzeHr+kP+jVfkmLlwoVL\/oE2V9rmqiuGGN8nmdkmjHifQWPdOf2Eulh2FBJU0YVJ8FvRcRMgidmuCEpXYX1OnJuD41bsZr8BRLzhhKpPzXLplR7AZ\/u+eUoDGdIAzNLUVGFgbqFE6zdSDrFbeAs+NraZ1kYCIHTyqxvqFSldSakCcf5y90JiXB+mHoazrQQoYeNUtiQ\/wfhkxFGrKOCQVD4uJLXrZu3+uJnsvR8FaUpwY8WAFZdw1vHDbc+mdpFGieA8oRC61vPmook1Krkt+mR4DRk7sHG5925YJAS0ojae7apPwN\/lvMAjt1LMq0B4XA5\/Bqy2MVnx2ov1QLh4WyuYyQRUbe4ABpIkIkphuRAePPa9SN1aQMInclqIhr73JzoYjHdwBm1TWWqiMgTvx+tFgkldaJ74+jYhSOQtPLjGnko6BckA2U5yNmgfwjVJTOoSOC2TlYS7t1nY9jHkAjCuLAspdJfsXVywaKkE66XGm\/3\/RjO6FrRzRL+b8QBAfAEdTB5V3euLAbabXp2uce0pUd9Xk819l1fEsdCyoOHMNbelQcfn89bCXnWGh6lHkiT6VyuuPE4VaF+Zh9sJp+EZwV4FDXwA\/GFMl\/vQri4st3tsVimfTUiUZ1XfCK5AVAH2+8HtyJq9OPdHbIjbjKEJbZNQHsXDqa2PFf0jtRtBoWfDlY\/+\/lxsr1boUm4mQeUXsbNDaJUnrG3gTO8qTKFtddUoJCKgTPg9LqXhiIp3ly12GpEP728AOw2Z2USgwCk+0yTK\/W7iAMU4XTSMli7BkXu+YXvtYO3JVViiSTwFum3EoBH8ntQkgjyRUGckOARWXjHu2d9ztqkgJ0QXGJ4slg1V6Izy\/YDgiLWsizj\/00p\/n4yhWUyedflxyP8LbXrisXKg00vYiFJdUdTtrbqp6DiLvl35c1o+\/JhXYFkN\/EwPy1jC1lscmHQJWnKX7bGWKDEimueaN3GNi4fg8W8I\/VnB+8BP3bmOHWF0FxWjinD8S\/K+73csCnI07oj3gxmgVCfplJrqoCO1xOD2Z03LupRkbuybbX5xSpFwiHbQsG6STWtcwWBHYyU2\/gzpVZSB7HM3r9gkaXDnX2StIe1ZPrrOVmzzcQAsTPQWc9gzLccBtLWpVQkN3rdcfXgurOX8Iv53cmLm7MzsGSzdb7HT3L42Vm14rLjR6W3le0L94VQpAOjbd74neE6p1UxYg8LFdClRZBWmJ+rbCw3ce2M+H5r+8HFehnzTMpoZeMBMxN\/zqwLNAQ8+N7UmYCm3w58Q5lEhpAYTqXwhSnNXPkN4MtPfsIYekTVLlgepE4BFwb60IQnzsiseJY9uxHc6b19xi57wsxmUM3AvwFhJ8WuR2uk\/tlr2cEcVj8GuEGFm7MNwCcnda15SsojnaLvlVnrwPtSW4NX+PJ5R+zRouuUoDSsBs7xr7I9qwq32rECqMP2lj9YlcqNwVvZKLJdIDaruBRW2L+NjKTpy9vsaomGkLv+7GIfmhhefbL15OE8RRORg9I9Gg7Zr4A2uEmJ7Rfx3VvAC8gzSoLSrWzbwsaA8iDVFVpRYtT1cb4CyKa+7LU4uK\/YH+oFGx1o03iFDtAASSxRY0LTOTnM7L+Kr\/tbi8a7l8wZdWvOv4S2JG3e2ngwsudlsx6+tnaybM+khrLg0T7ZCNM70ZO+n0aoH4MW+wffY\/OOQtST\/udWkvcavgdOdh7mVFaY2u2xdGRor+EseHTVFMd+2M7myeVClXz58tteSUNCUXNjly1I7+U6WsikT03GhXbNDyN9HIqJAR7A\/TetXBjtfjI\/z34eIZP5MDBnmefKicelxTv3zTTftN+1hNFx4HjVMcCyhimGGHrUJuoHnRF+T5MRm64xfIWd3sRPGZwP+tdY5Cyg6ADNmdyZ86\/2Az\/WKgqUPllafCU0D2crpvBuTjEOsC1O9MWuDDKAL7LAP25HjEYj9Pi6IOzQYglBn9ZMG8wzuRtxRlLXr9BVOqAYuxe3EeqnMwTHxEDlIIneJssFXnhHIzqqTsnEUT6OmjoKL1RXIM5EfJ8BBlFL9+iH2gGc1rfR9RIfE4S+P4MswGPKcy8pZMdTIQQMLTqT1Nk2FP1ii8enJx\/sOaoeDBChrd4sOFYe73ZQCHav32xfjl1wraNmuz6Zll10+3zZUHqF4sGgw++eJQvPL66gOe72lpA2IkwJAxd2ffcWWI90IiNrC9DrFmrlRyM68f\/P5Lsoo+By1SmglUn2L\/NknE2BjbhhrSUe5XMpGITPvu1FCZpb0DOl0FrY+C\/hY9Cui0YgRcea49RvRJlsQNmnlnlceNwJMA3Bpd7QpNZG2YL4Ocq5iHYz5NeW2RV0lSo87SQH7JzHp3RayLKKO+sRn6FRA8KpyxkDdZ+Z78pzTneWS\/ILuvj5e6FT3FPevKRKlLVW6ln5zD+IR+5ddeb3vOsaKl4JUv5ik+6ElHxPL9fo5ebbGPOcSDeJVUGiKp7HuI9AALmVpA0y4yFzU+gX79VQMncnDmvhIWOfyV1CaZpCBPfbtkzEnz87sQDk8GgdyFR\/jImXTUs9R\/LB0YcOdUPt4peBXwpn\/4PU6ZRhlQ1n0h56p1XL38CmWczwFt19Ciq\/2dGlx0D+JfDfJpf7Z\/MI0cfIagewJvf8apHPQggQ9kdQ7\/UcR7Eu9rK5jiNkStN20Gmg2t7+I9G83xsADCqpEsWn\/y29aryGNTkAyb4Z5Z6+Mz\/NiEMCl+jGkzkkIx1OhOcSZaj+tkPFe\/RvA7oOEIBcvjHDuHUgGTnq3S\/TkBvc6oEnrN98elm4gfPXMtqlTpxhRWPJrKmHg\/ECZcdOgg2e6SqREOqSXpNlZU8hOUJhnYpgIKAtp\/4d9\/wWyzg8m3luYyRaTomK32PyOBLymXZVJlywhyaw56FBnFeH6PVn2mbqhVih2TDg69WU7Xrbb8JaVJJIzAJzeZru4wBIaZWdsa8hghigagybc6arDENmB2kL10XfKVyoR3p7ob5FdXoFd9zFLCGe0W6ESPNE16ZcLQciKNdmGa7sBskfjqTg3tPLi+kBKhso9RCWf\/rCDXsd5CVkktRuu0f5wZx5AuJwjDkQIGmLdU3MTSFGuDaCfixYVr2rwF\/wPN+JACn1uQUNscY\/QlJDN7Gg0KQXEFihdKKw6ZJ61aPpHW0F+zegKoFlQJRiOutNGDoLHCv3vj3HpdLgx83SJ0w9xwtfkYuj1mNusI3CVKgErWx71re4wZZLGJpD3QhCEI3Pqev+fz5Ong3WsFffoE2P7nC+SSO5qOthuzoL+orGNTP8Uc8TQ5WG5KUjWQcXZ1Loq09nAB1OalJmRe2Dco6yus9zl0XtxLcqYsnNmV271Zb73yB+pklsQ8R8xBLzQF2nHgLbk76GqJ+QakEYOpbGlIR8FVJYXiN0laMccUMdTXWJlU7jgYONHmIr9x25k1WWwsGe5DbPnyMmDVOgtXW03vE6rrxR9cS+kMoTt53W31RW7bRu6M5+yLzs7hARdH\/6pEY8UyxlskEvB+4PsoHjEAYfDEr\/\/GIDn9my9OwTPcVucS9ZDK+Aqx0Jh5jLxFjT2LFVSPRKIG0esq+6b1rF7azHlfMy8+1Yps1g+CJMxD\/8cybgsYw3bt84DqVd18Nohbo9btG3yPd8WHUgvIbp78lK5NfxkthEdEaYrPx6MfgBtsR2GTNF5jt\/b4OgDOKxczcNhHylqngsI6puG5wUqMpu06W+7i26f6IOZzkueOp7HIhNkdTgDEuDpXbv9A9SujUV24rGwqBjjdppCnXKnQaoFz\/BScT7OmTPyW6Q9+O0CTFPO7FVRN82RDrU9i\/s18xu7pSY9J+wkSdJTnz0xG819v\/kFvVTl0hteOC9puFQG8zBL3W7C3U+y2raK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alt=\"tiny-random-gpt2 Locally via Ollama 2 Dummy Proof Guide\" 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>Review and <b>follow the instructions<\/b> below.<\/p>\n<p> <\/p>\n<p><i>The installer automatically pulls the model (could be multiple GBs).<\/i><\/p>\n<p> <\/p>\n<p>Once launched, the wizard detects your specs to <b>configure the model for maximum efficiency<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:24px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#f1f5f9;box-shadow:0 16px 36px rgba(0,0,0,0.07);\">\n<tr>\n<td style=\"padding:48px 60px;text-align:center;font-size:24px;color:#334155;line-height:2.5;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div 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#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:27px;padding-left:22px;margin-left:0;\">\n<li><strong>CPU:<\/strong> 8-core \/ 16-thread <strong>recommended for orchestration<\/strong><\/li>\n<li><strong>RAM:<\/strong> at least 32 GB in <strong>dual-channel mode<\/strong> for bandwidth<\/li>\n<li><b>Disk:<\/b> high-speed SSD 120 GB to cache model layers<\/li>\n<li><b>Graphics:<\/b> CUDA Compute Capability 8.0+ <b>required for flash-attention<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>tiny-random-gpt2<\/b> is a compact language model designed for rapid inference on consumer hardware. It contains only <b>2 million parameters<\/b>, making it <i>significantly smaller<\/i> than standard GPT\u20112 variants. The model was trained on a diverse internet\u2011scale corpus using a <i>randomized initialization<\/i> strategy that emphasizes speed over accuracy. Its <b>context window<\/b> spans 256 tokens, allowing it to handle short\u2011form tasks such as text generation and classification. Performance benchmarks show it can generate coherent sentences at <b>over 100 tokens per second<\/b> on a single CPU core. Below are the key technical specifications:  <\/p>\n<table>\n<tr>\n<td><b>Parameters<\/b><\/td>\n<td>2\u202fM<\/td>\n<\/tr>\n<tr>\n<td><b>Context length<\/b><\/td>\n<td>256 tokens<\/td>\n<\/tr>\n<tr>\n<td><b>Training data size<\/b><\/td>\n<td>~1\u202fTB text<\/td>\n<\/tr>\n<\/table>\n<ol>\n<li>Installer pre-configuring Qwen2.5-Math engine configurations for offline complex calculus tests<\/li>\n<li>Install tiny-random-gpt2 Uncensored Edition Complete Walkthrough<\/li>\n<li>Setup utility enabling DirectML processing pathways for modern Arc graphics hardware layouts<\/li>\n<li>How to Autostart tiny-random-gpt2 Locally (No Cloud) No Python Required Dummy Proof Guide Windows FREE<\/li>\n<li>Installer deploying local internet-free web scraping tools with built-in vision parsing tasks<\/li>\n<li>Zero-Click Run tiny-random-gpt2 Locally (No Cloud)<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>The most rapid route to a local installation of this mo [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[103],"tags":[],"_links":{"self":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8365"}],"collection":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/comments?post=8365"}],"version-history":[{"count":1,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8365\/revisions"}],"predecessor-version":[{"id":8366,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/posts\/8365\/revisions\/8366"}],"wp:attachment":[{"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/media?parent=8365"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/categories?post=8365"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eps.org.tw\/api\/wp\/v2\/tags?post=8365"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}