OpenSource
/
ragflow
İzle 4
Yıldızla 0
Çatalla 0
Kod Sorunlar 0 Değişiklik İstekleri 0 Sürümler 33 Wiki Aktivite
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
2829 İşlemeler
7 Dallar
Dal: Hacked_v0.18.0
Dallar Biçim İmleri
${ item.name }
Branş ${ searchTerm } oluştur
'Hacked_v0.18.0'den
${ noResults }
ragflow/conf/llm_factories.json

llm_factories.json 113KB
Ham Kalıcı Bağlantı Blame Geçmiş

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816917017117217317417517617717817918018118218318418518618718818919019119219319419519619719819920020120220320420520620720820921021121221321421521621721821922022122222322422522622722822923023123223323423523623723823924024124224324424524624724824925025125225325425525625725825926026126226326426526626726826927027127227327427527627727827928028128228328428528628728828929029129229329429529629729829930030130230330430530630730830931031131231331431531631731831932032132232332432532632732832933033133233333433533633733833934034134234334434534634734834935035135235335435535635735835936036136236336436536636736836937037137237337437537637737837938038138238338438538638738838939039139239339439539639739839940040140240340440540640740840941041141241341441541641741841942042142242342442542642742842943043143243343443543643743843944044144244344444544644744844945045145245345445545645745845946046146246346446546646746846947047147247347447547647747847948048148248348448548648748848949049149249349449549649749849950050150250350450550650750850951051151251351451551651751851952052152252352452552652752852953053153253353453553653753853954054154254354454554654754854955055155255355455555655755855956056156256356456556656756856957057157257357457557657757857958058158258358458558658758858959059159259359459559659759859960060160260360460560660760860961061161261361461561661761861962062162262362462562662762862963063163263363463563663763863964064164264364464564664764864965065165265365465565665765865966066166266366466566666766866967067167267367467567667767867968068168268368468568668768868969069169269369469569669769869970070170270370470570670770870971071171271371471571671771871972072172272372472572672772872973073173273373473573673773873974074174274374474574674774874975075175275375475575675775875976076176276376476576676776876977077177277377477577677777877978078178278378478578678778878979079179279379479579679779879980080180280380480580680780880981081181281381481581681781881982082182282382482582682782882983083183283383483583683783883984084184284384484584684784884985085185285385485585685785885986086186286386486586686786886987087187287387487587687787887988088188288388488588688788888989089189289389489589689789889990090190290390490590690790890991091191291391491591691791891992092192292392492592692792892993093193293393493593693793893994094194294394494594694794894995095195295395495595695795895996096196296396496596696796896997097197297397497597697797897998098198298398498598698798898999099199299399499599699799899910001001100210031004100510061007100810091010101110121013101410151016101710181019102010211022102310241025102610271028102910301031103210331034103510361037103810391040104110421043104410451046104710481049105010511052105310541055105610571058105910601061106210631064106510661067106810691070107110721073107410751076107710781079108010811082108310841085108610871088108910901091109210931094109510961097109810991100110111021103110411051106110711081109111011111112111311141115111611171118111911201121112211231124112511261127112811291130113111321133113411351136113711381139114011411142114311441145114611471148114911501151115211531154115511561157115811591160116111621163116411651166116711681169117011711172117311741175117611771178117911801181118211831184118511861187118811891190119111921193119411951196119711981199120012011202120312041205120612071208120912101211121212131214121512161217121812191220122112221223122412251226122712281229123012311232123312341235123612371238123912401241124212431244124512461247124812491250125112521253125412551256125712581259126012611262126312641265126612671268126912701271127212731274127512761277127812791280128112821283128412851286128712881289129012911292129312941295129612971298129913001301130213031304130513061307130813091310131113121313131413151316131713181319132013211322132313241325132613271328132913301331133213331334133513361337133813391340134113421343134413451346134713481349135013511352135313541355135613571358135913601361136213631364136513661367136813691370137113721373137413751376137713781379138013811382138313841385138613871388138913901391139213931394139513961397139813991400140114021403140414051406140714081409141014111412141314141415141614171418141914201421142214231424142514261427142814291430143114321433143414351436143714381439144014411442144314441445144614471448144914501451145214531454145514561457145814591460146114621463146414651466146714681469147014711472147314741475147614771478147914801481148214831484148514861487148814891490149114921493149414951496149714981499150015011502150315041505150615071508150915101511151215131514151515161517151815191520152115221523152415251526152715281529153015311532153315341535153615371538153915401541154215431544154515461547154815491550155115521553155415551556155715581559156015611562156315641565156615671568156915701571157215731574157515761577157815791580158115821583158415851586158715881589159015911592159315941595159615971598159916001601160216031604160516061607160816091610161116121613161416151616161716181619162016211622162316241625162616271628162916301631163216331634163516361637163816391640164116421643164416451646164716481649165016511652165316541655165616571658165916601661166216631664166516661667166816691670167116721673167416751676167716781679168016811682168316841685168616871688168916901691169216931694169516961697169816991700170117021703170417051706170717081709171017111712171317141715171617171718171917201721172217231724172517261727172817291730173117321733173417351736173717381739174017411742174317441745174617471748174917501751175217531754175517561757175817591760176117621763176417651766176717681769177017711772177317741775177617771778177917801781178217831784178517861787178817891790179117921793179417951796179717981799180018011802180318041805180618071808180918101811181218131814181518161817181818191820182118221823182418251826182718281829183018311832183318341835183618371838183918401841184218431844184518461847184818491850185118521853185418551856185718581859186018611862186318641865186618671868186918701871187218731874187518761877187818791880188118821883188418851886188718881889189018911892189318941895189618971898189919001901190219031904190519061907190819091910191119121913191419151916191719181919192019211922192319241925192619271928192919301931193219331934193519361937193819391940194119421943194419451946194719481949195019511952195319541955195619571958195919601961196219631964196519661967196819691970197119721973197419751976197719781979198019811982198319841985198619871988198919901991199219931994199519961997199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202520262027202820292030203120322033203420352036203720382039204020412042204320442045204620472048204920502051205220532054205520562057205820592060206120622063206420652066206720682069207020712072207320742075207620772078207920802081208220832084208520862087208820892090209120922093209420952096209720982099210021012102210321042105210621072108210921102111211221132114211521162117211821192120212121222123212421252126212721282129213021312132213321342135213621372138213921402141214221432144214521462147214821492150215121522153215421552156215721582159216021612162216321642165216621672168216921702171217221732174217521762177217821792180218121822183218421852186218721882189219021912192219321942195219621972198219922002201220222032204220522062207220822092210221122122213221422152216221722182219222022212222222322242225222622272228222922302231223222332234223522362237223822392240224122422243224422452246224722482249225022512252225322542255225622572258225922602261226222632264226522662267226822692270227122722273227422752276227722782279228022812282228322842285228622872288228922902291229222932294229522962297229822992300230123022303230423052306230723082309231023112312231323142315231623172318231923202321232223232324232523262327232823292330233123322333233423352336233723382339234023412342234323442345234623472348234923502351235223532354235523562357235823592360236123622363236423652366236723682369237023712372237323742375237623772378237923802381238223832384238523862387238823892390239123922393239423952396239723982399240024012402240324042405240624072408240924102411241224132414241524162417241824192420242124222423242424252426242724282429243024312432243324342435243624372438243924402441244224432444244524462447244824492450245124522453245424552456245724582459246024612462246324642465246624672468246924702471247224732474247524762477247824792480248124822483248424852486248724882489249024912492249324942495249624972498249925002501250225032504250525062507250825092510251125122513251425152516251725182519252025212522252325242525252625272528252925302531253225332534253525362537253825392540254125422543254425452546254725482549255025512552255325542555255625572558255925602561256225632564256525662567256825692570257125722573257425752576257725782579258025812582258325842585258625872588258925902591259225932594259525962597259825992600260126022603260426052606260726082609261026112612261326142615261626172618261926202621262226232624262526262627262826292630263126322633263426352636263726382639264026412642264326442645264626472648264926502651265226532654265526562657265826592660266126622663266426652666266726682669267026712672267326742675267626772678267926802681268226832684268526862687268826892690269126922693269426952696269726982699270027012702270327042705270627072708270927102711271227132714271527162717271827192720272127222723272427252726272727282729273027312732273327342735273627372738273927402741274227432744274527462747274827492750275127522753275427552756275727582759276027612762276327642765276627672768276927702771277227732774277527762777277827792780278127822783278427852786278727882789279027912792279327942795279627972798279928002801280228032804280528062807280828092810281128122813281428152816281728182819282028212822282328242825282628272828282928302831283228332834283528362837283828392840284128422843284428452846284728482849285028512852285328542855285628572858285928602861286228632864286528662867286828692870287128722873287428752876287728782879288028812882288328842885288628872888288928902891289228932894289528962897289828992900290129022903290429052906290729082909291029112912291329142915291629172918291929202921292229232924292529262927292829292930293129322933293429352936293729382939294029412942294329442945294629472948294929502951295229532954295529562957295829592960296129622963296429652966296729682969297029712972297329742975297629772978297929802981298229832984298529862987298829892990299129922993299429952996299729982999300030013002300330043005300630073008300930103011301230133014301530163017301830193020302130223023302430253026302730283029303030313032303330343035303630373038303930403041304230433044304530463047304830493050305130523053305430553056305730583059306030613062306330643065306630673068306930703071307230733074307530763077307830793080308130823083308430853086308730883089309030913092309330943095309630973098309931003101310231033104310531063107310831093110311131123113311431153116311731183119312031213122312331243125312631273128312931303131313231333134313531363137313831393140314131423143314431453146314731483149315031513152315331543155315631573158315931603161316231633164316531663167316831693170317131723173317431753176317731783179318031813182318331843185318631873188318931903191319231933194319531963197319831993200320132023203320432053206320732083209321032113212321332143215321632173218321932203221322232233224322532263227322832293230323132323233323432353236 
  1. {

  2.     "factory_llm_infos": [

  3.         {

  4.             "name": "OpenAI",

  5.             "logo": "",

  6.             "tags": "LLM,TEXT EMBEDDING,TTS,TEXT RE-RANK,SPEECH2TEXT,MODERATION",

  7.             "status": "1",

  8.             "llm": [

  9.                 {

  10.                     "llm_name": "gpt-4o-mini",

  11.                     "tags": "LLM,CHAT,128K,IMAGE2TEXT",

  12.                     "max_tokens": 128000,

  13.                     "model_type": "chat",

  14.                     "is_tools": true

  15.                 },

  16.                 {

  17.                     "llm_name": "gpt-4o",

  18.                     "tags": "LLM,CHAT,128K,IMAGE2TEXT",

  19.                     "max_tokens": 128000,

  20.                     "model_type": "chat",

  21.                     "is_tools": true

  22.                 },

  23.                 {

  24.                     "llm_name": "gpt-3.5-turbo",

  25.                     "tags": "LLM,CHAT,4K",

  26.                     "max_tokens": 4096,

  27.                     "model_type": "chat",

  28.                     "is_tools": false

  29.                 },

  30.                 {

  31.                     "llm_name": "gpt-3.5-turbo-16k-0613",

  32.                     "tags": "LLM,CHAT,16k",

  33.                     "max_tokens": 16385,

  34.                     "model_type": "chat",

  35.                     "is_tools": false

  36.                 },

  37.                 {

  38.                     "llm_name": "text-embedding-ada-002",

  39.                     "tags": "TEXT EMBEDDING,8K",

  40.                     "max_tokens": 8191,

  41.                     "model_type": "embedding",

  42.                     "is_tools": false

  43.                 },

  44.                 {

  45.                     "llm_name": "text-embedding-3-small",

  46.                     "tags": "TEXT EMBEDDING,8K",

  47.                     "max_tokens": 8191,

  48.                     "model_type": "embedding",

  49.                     "is_tools": false

  50.                 },

  51.                 {

  52.                     "llm_name": "text-embedding-3-large",

  53.                     "tags": "TEXT EMBEDDING,8K",

  54.                     "max_tokens": 8191,

  55.                     "model_type": "embedding",

  56.                     "is_tools": false

  57.                 },

  58.                 {

  59.                     "llm_name": "whisper-1",

  60.                     "tags": "SPEECH2TEXT",

  61.                     "max_tokens": 26214400,

  62.                     "model_type": "speech2text",

  63.                     "is_tools": false

  64.                 },

  65.                 {

  66.                     "llm_name": "gpt-4",

  67.                     "tags": "LLM,CHAT,8K",

  68.                     "max_tokens": 8191,

  69.                     "model_type": "chat",

  70.                     "is_tools": false

  71.                 },

  72.                 {

  73.                     "llm_name": "gpt-4-turbo",

  74.                     "tags": "LLM,CHAT,8K",

  75.                     "max_tokens": 8191,

  76.                     "model_type": "chat",

  77.                     "is_tools": true

  78.                 },

  79.                 {

  80.                     "llm_name": "gpt-4-32k",

  81.                     "tags": "LLM,CHAT,32K",

  82.                     "max_tokens": 32768,

  83.                     "model_type": "chat",

  84.                     "is_tools": false

  85.                 },

  86.                 {

  87.                     "llm_name": "tts-1",

  88.                     "tags": "TTS",

  89.                     "max_tokens": 2048,

  90.                     "model_type": "tts",

  91.                     "is_tools": false

  92.                 }

  93.             ]

  94.         },

  95.         {

  96.             "name": "Tongyi-Qianwen",

  97.             "logo": "",

  98.             "tags": "LLM,TEXT EMBEDDING,TEXT RE-RANK,TTS,SPEECH2TEXT,MODERATION",

  99.             "status": "1",

  100.             "llm": [

  101.                 {

  102.                     "llm_name": "deepseek-r1",

  103.                     "tags": "LLM,CHAT,64K",

  104.                     "max_tokens": 65792,

  105.                     "model_type": "chat",

  106.                     "is_tools": false

  107.                 },

  108.                 {

  109.                     "llm_name": "deepseek-v3",

  110.                     "tags": "LLM,CHAT,64K",

  111.                     "max_tokens": 65792,

  112.                     "model_type": "chat",

  113.                     "is_tools": false

  114.                 },

  115.                 {

  116.                     "llm_name": "deepseek-r1-distill-qwen-1.5b",

  117.                     "tags": "LLM,CHAT,32K",

  118.                     "max_tokens": 32768,

  119.                     "model_type": "chat",

  120.                     "is_tools": false

  121.                 },

  122.                 {

  123.                     "llm_name": "deepseek-r1-distill-qwen-7b",

  124.                     "tags": "LLM,CHAT,32K",

  125.                     "max_tokens": 32768,

  126.                     "model_type": "chat",

  127.                     "is_tools": false

  128.                 },

  129.                 {

  130.                     "llm_name": "deepseek-r1-distill-qwen-14b",

  131.                     "tags": "LLM,CHAT,32K",

  132.                     "max_tokens": 32768,

  133.                     "model_type": "chat",

  134.                     "is_tools": false

  135.                 },

  136.                 {

  137.                     "llm_name": "deepseek-r1-distill-qwen-32b",

  138.                     "tags": "LLM,CHAT,32K",

  139.                     "max_tokens": 32768,

  140.                     "model_type": "chat",

  141.                     "is_tools": false

  142.                 },

  143.                 {

  144.                     "llm_name": "deepseek-r1-distill-llama-8b",

  145.                     "tags": "LLM,CHAT,32K",

  146.                     "max_tokens": 32768,

  147.                     "model_type": "chat",

  148.                     "is_tools": false

  149.                 },

  150.                 {

  151.                     "llm_name": "deepseek-r1-distill-llama-70b",

  152.                     "tags": "LLM,CHAT,32K",

  153.                     "max_tokens": 32768,

  154.                     "model_type": "chat",

  155.                     "is_tools": false

  156.                 },

  157.                 {

  158.                     "llm_name": "qwq-32b",

  159.                     "tags": "LLM,CHAT,128k",

  160.                     "max_tokens": 131072,

  161.                     "model_type": "chat",

  162.                     "is_tools": true

  163.                 },

  164.                 {

  165.                     "llm_name": "qwq-plus",

  166.                     "tags": "LLM,CHAT,132k",

  167.                     "max_tokens": 131072,

  168.                     "model_type": "chat",

  169.                     "is_tools": true

  170.                 },

  171.                 {

  172.                     "llm_name": "qwq-plus-latest",

  173.                     "tags": "LLM,CHAT,132k",

  174.                     "max_tokens": 131072,

  175.                     "model_type": "chat",

  176.                     "is_tools": true

  177.                 },

  178.                 {

  179.                     "llm_name": "qwen-long",

  180.                     "tags": "LLM,CHAT,10000K",

  181.                     "max_tokens": 1000000,

  182.                     "model_type": "chat",

  183.                     "is_tools": true

  184.                 },

  185.                 {

  186.                     "llm_name": "qwen-turbo",

  187.                     "tags": "LLM,CHAT,8K",

  188.                     "max_tokens": 8191,

  189.                     "model_type": "chat",

  190.                     "is_tools": true

  191.                 },

  192.                 {

  193.                     "llm_name": "qwen-max",

  194.                     "tags": "LLM,CHAT,32K",

  195.                     "max_tokens": 32768,

  196.                     "model_type": "chat",

  197.                     "is_tools": true

  198.                 },

  199.                 {

  200.                     "llm_name": "qwen-plus",

  201.                     "tags": "LLM,CHAT,132k",

  202.                     "max_tokens": 131072,

  203.                     "model_type": "chat",

  204.                     "is_tools": true

  205.                 },

  206.                 {

  207.                     "llm_name": "qwen-plus-latest",

  208.                     "tags": "LLM,CHAT,132k",

  209.                     "max_tokens": 131072,

  210.                     "model_type": "chat",

  211.                     "is_tools": true

  212.                 },

  213.                 {

  214.                     "llm_name": "text-embedding-v2",

  215.                     "tags": "TEXT EMBEDDING,2K",

  216.                     "max_tokens": 2048,

  217.                     "model_type": "embedding"

  218.                 },

  219.                 {

  220.                     "llm_name": "sambert-zhide-v1",

  221.                     "tags": "TTS",

  222.                     "max_tokens": 2048,

  223.                     "model_type": "tts"

  224.                 },

  225.                 {

  226.                     "llm_name": "sambert-zhiru-v1",

  227.                     "tags": "TTS",

  228.                     "max_tokens": 2048,

  229.                     "model_type": "tts"

  230.                 },

  231.                 {

  232.                     "llm_name": "text-embedding-v3",

  233.                     "tags": "TEXT EMBEDDING,8K",

  234.                     "max_tokens": 8192,

  235.                     "model_type": "embedding"

  236.                 },

  237.                 {

  238.                     "llm_name": "qwen-vl-max",

  239.                     "tags": "LLM,CHAT,IMAGE2TEXT",

  240.                     "max_tokens": 765,

  241.                     "model_type": "image2text",

  242.                     "is_tools": false

  243.                 },

  244.                 {

  245.                     "llm_name": "qwen-vl-plus",

  246.                     "tags": "LLM,CHAT,IMAGE2TEXT",

  247.                     "max_tokens": 765,

  248.                     "model_type": "image2text",

  249.                     "is_tools": false

  250.                 },

  251.                 {

  252.                     "llm_name": "gte-rerank",

  253.                     "tags": "RE-RANK,4k",

  254.                     "max_tokens": 4000,

  255.                     "model_type": "rerank"

  256.                 }

  257.             ]

  258.         },

  259.         {

  260.             "name": "ZHIPU-AI",

  261.             "logo": "",

  262.             "tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",

  263.             "status": "1",

  264.             "llm": [

  265.                 {

  266.                     "llm_name": "glm-4-plus",

  267.                     "tags": "LLM,CHAT,",

  268.                     "max_tokens": 128000,

  269.                     "model_type": "chat",

  270.                     "is_tools": true

  271.                 },

  272.                 {

  273.                     "llm_name": "glm-4-0520",

  274.                     "tags": "LLM,CHAT,",

  275.                     "max_tokens": 128000,

  276.                     "model_type": "chat",

  277.                     "is_tools": true

  278.                 },

  279.                 {

  280.                     "llm_name": "glm-4",

  281.                     "tags": "LLM,CHAT,",

  282.                     "max_tokens": 128000,

  283.                     "model_type": "chat",

  284.                     "is_tools": true

  285.                 },

  286.                 {

  287.                     "llm_name": "glm-4-airx",

  288.                     "tags": "LLM,CHAT,",

  289.                     "max_tokens": 8000,

  290.                     "model_type": "chat",

  291.                     "is_tools": true

  292.                 },

  293.                 {

  294.                     "llm_name": "glm-4-air",

  295.                     "tags": "LLM,CHAT,",

  296.                     "max_tokens": 128000,

  297.                     "model_type": "chat",

  298.                     "is_tools": true

  299.                 },

  300.                 {

  301.                     "llm_name": "glm-4-flash",

  302.                     "tags": "LLM,CHAT,",

  303.                     "max_tokens": 128000,

  304.                     "model_type": "chat",

  305.                     "is_tools": true

  306.                 },

  307.                 {

  308.                     "llm_name": "glm-4-flashx",

  309.                     "tags": "LLM,CHAT,",

  310.                     "max_tokens": 128000,

  311.                     "model_type": "chat",

  312.                     "is_tools": true

  313.                 },

  314.                 {

  315.                     "llm_name": "glm-4-long",

  316.                     "tags": "LLM,CHAT,",

  317.                     "max_tokens": 1000000,

  318.                     "model_type": "chat",

  319.                     "is_tools": true

  320.                 },

  321.                 {

  322.                     "llm_name": "glm-3-turbo",

  323.                     "tags": "LLM,CHAT,",

  324.                     "max_tokens": 128000,

  325.                     "model_type": "chat",

  326.                     "is_tools": true

  327.                 },

  328.                 {

  329.                     "llm_name": "glm-4v",

  330.                     "tags": "LLM,CHAT,IMAGE2TEXT",

  331.                     "max_tokens": 2000,

  332.                     "model_type": "image2text",

  333.                     "is_tools": true

  334.                 },

  335.                 {

  336.                     "llm_name": "glm-4-9b",

  337.                     "tags": "LLM,CHAT,",

  338.                     "max_tokens": 8192,

  339.                     "model_type": "chat",

  340.                     "is_tools": true

  341.                 },

  342.                 {

  343.                     "llm_name": "embedding-2",

  344.                     "tags": "TEXT EMBEDDING",

  345.                     "max_tokens": 512,

  346.                     "model_type": "embedding"

  347.                 },

  348.                 {

  349.                     "llm_name": "embedding-3",

  350.                     "tags": "TEXT EMBEDDING",

  351.                     "max_tokens": 512,

  352.                     "model_type": "embedding"

  353.                 }

  354.             ]

  355.         },

  356.         {

  357.             "name": "Ollama",

  358.             "logo": "",

  359.             "tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",

  360.             "status": "1",

  361.             "llm": []

  362.         },

  363.         {

  364.             "name": "ModelScope",

  365.             "logo": "",

  366.             "tags": "LLM",

  367.             "status": "1",

  368.             "llm": []

  369.         },

  370.         {

  371.             "name": "LocalAI",

  372.             "logo": "",

  373.             "tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",

  374.             "status": "1",

  375.             "llm": []

  376.         },

  377.         {

  378.             "name": "OpenAI-API-Compatible",

  379.             "logo": "",

  380.             "tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",

  381.             "status": "1",

  382.             "llm": []

  383.         },

  384.         {

  385.             "name": "VLLM",

  386.             "logo": "",

  387.             "tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",

  388.             "status": "1",

  389.             "llm": []

  390.         },

  391.         {

  392.             "name": "Moonshot",

  393.             "logo": "",

  394.             "tags": "LLM,TEXT EMBEDDING",

  395.             "status": "1",

  396.             "llm": [

  397.                 {

  398.                     "llm_name": "moonshot-v1-8k",

  399.                     "tags": "LLM,CHAT,",

  400.                     "max_tokens": 7900,

  401.                     "model_type": "chat",

  402.                     "is_tools": true

  403.                 },

  404.                 {

  405.                     "llm_name": "moonshot-v1-32k",

  406.                     "tags": "LLM,CHAT,",

  407.                     "max_tokens": 32768,

  408.                     "model_type": "chat",

  409.                     "is_tools": true

  410.                 },

  411.                 {

  412.                     "llm_name": "moonshot-v1-128k",

  413.                     "tags": "LLM,CHAT",

  414.                     "max_tokens": 128000,

  415.                     "model_type": "chat",

  416.                     "is_tools": true

  417.                 },

  418.                 {

  419.                     "llm_name": "moonshot-v1-auto",

  420.                     "tags": "LLM,CHAT,",

  421.                     "max_tokens": 128000,

  422.                     "model_type": "chat",

  423.                     "is_tools": true

  424.                 }

  425.             ]

  426.         },

  427.         {

  428.             "name": "FastEmbed",

  429.             "logo": "",

  430.             "tags": "TEXT EMBEDDING",

  431.             "status": "1",

  432.             "llm": []

  433.         },

  434.         {

  435.             "name": "Xinference",

  436.             "logo": "",

  437.             "tags": "LLM,TEXT EMBEDDING,TTS,SPEECH2TEXT,MODERATION,TEXT RE-RANK",

  438.             "status": "1",

  439.             "llm": []

  440.         },

  441.         {

  442.             "name": "Youdao",

  443.             "logo": "",

  444.             "tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",

  445.             "status": "1",

  446.             "llm": [

  447.                 {

  448.                     "llm_name": "maidalun1020/bce-embedding-base_v1",

  449.                     "tags": "TEXT EMBEDDING,",

  450.                     "max_tokens": 512,

  451.                     "model_type": "embedding"

  452.                 }

  453.             ]

  454.         },

  455.         {

  456.             "name": "DeepSeek",

  457.             "logo": "",

  458.             "tags": "LLM",

  459.             "status": "1",

  460.             "llm": [

  461.                 {

  462.                     "llm_name": "deepseek-chat",

  463.                     "tags": "LLM,CHAT,",

  464.                     "max_tokens": 64000,

  465.                     "model_type": "chat",

  466.                     "is_tools": true

  467.             

  468.                 },

  469.                 {

  470.                     "llm_name": "deepseek-reasoner",

  471.                     "tags": "LLM,CHAT,",

  472.                     "max_tokens": 64000,

  473.                     "model_type": "chat",

  474.                     "is_tools": true

  475.                 }

  476.             ]

  477.         },

  478.         {

  479.             "name": "VolcEngine",

  480.             "logo": "",

  481.             "tags": "LLM, TEXT EMBEDDING",

  482.             "status": "1",

  483.             "llm": [

  484.                 {

  485.                     "llm_name": "Doubao-pro-128k",

  486.                     "tags": "LLM,CHAT,128k",

  487.                     "max_tokens": 131072,

  488.                     "model_type": "chat",

  489.                     "is_tools": true

  490.                 },

  491.                 {

  492.                     "llm_name": "Doubao-pro-32k",

  493.                     "tags": "LLM,CHAT,32k",

  494.                     "max_tokens": 32768,

  495.                     "model_type": "chat",

  496.                     "is_tools": true

  497.                 },

  498.                 {

  499.                     "llm_name": "Doubao-pro-4k",

  500.                     "tags": "LLM,CHAT,4k",

  501.                     "max_tokens": 4096,

  502.                     "model_type": "chat",

  503.                     "is_tools": true

  504.                 }

  505.             ]

  506.         },

  507.         {

  508.             "name": "BaiChuan",

  509.             "logo": "",

  510.             "tags": "LLM,TEXT EMBEDDING",

  511.             "status": "1",

  512.             "llm": [

  513.                 {

  514.                     "llm_name": "Baichuan2-Turbo",

  515.                     "tags": "LLM,CHAT,32K",

  516.                     "max_tokens": 32768,

  517.                     "model_type": "chat",

  518.                     "is_tools": true

  519.                 },

  520.                 {

  521.                     "llm_name": "Baichuan2-Turbo-192k",

  522.                     "tags": "LLM,CHAT,192K",

  523.                     "max_tokens": 196608,

  524.                     "model_type": "chat",

  525.                     "is_tools": true

  526.                 },

  527.                 {

  528.                     "llm_name": "Baichuan3-Turbo",

  529.                     "tags": "LLM,CHAT,32K",

  530.                     "max_tokens": 32768,

  531.                     "model_type": "chat",

  532.                     "is_tools": true

  533.                 },

  534.                 {

  535.                     "llm_name": "Baichuan3-Turbo-128k",

  536.                     "tags": "LLM,CHAT,128K",

  537.                     "max_tokens": 131072,

  538.                     "model_type": "chat",

  539.                     "is_tools": true

  540.                 },

  541.                 {

  542.                     "llm_name": "Baichuan4",

  543.                     "tags": "LLM,CHAT,128K",

  544.                     "max_tokens": 131072,

  545.                     "model_type": "chat",

  546.                     "is_tools": true

  547.                 },

  548.                 {

  549.                     "llm_name": "Baichuan-Text-Embedding",

  550.                     "tags": "TEXT EMBEDDING",

  551.                     "max_tokens": 512,

  552.                     "model_type": "embedding"

  553.                 }

  554.             ]

  555.         },

  556.         {

  557.             "name": "Jina",

  558.             "logo": "",

  559.             "tags": "TEXT EMBEDDING, TEXT RE-RANK",

  560.             "status": "1",

  561.             "llm": [

  562.                 {

  563.                     "llm_name": "jina-reranker-v1-base-en",

  564.                     "tags": "RE-RANK,8k",

  565.                     "max_tokens": 8196,

  566.                     "model_type": "rerank"

  567.                 },

  568.                 {

  569.                     "llm_name": "jina-reranker-v1-turbo-en",

  570.                     "tags": "RE-RANK,8k",

  571.                     "max_tokens": 8196,

  572.                     "model_type": "rerank"

  573.                 },

  574.                 {

  575.                     "llm_name": "jina-reranker-v1-tiny-en",

  576.                     "tags": "RE-RANK,8k",

  577.                     "max_tokens": 8196,

  578.                     "model_type": "rerank"

  579.                 },

  580.                 {

  581.                     "llm_name": "jina-colbert-v1-en",

  582.                     "tags": "RE-RANK,8k",

  583.                     "max_tokens": 8196,

  584.                     "model_type": "rerank"

  585.                 },

  586.                 {

  587.                     "llm_name": "jina-embeddings-v2-base-en",

  588.                     "tags": "TEXT EMBEDDING",

  589.                     "max_tokens": 8196,

  590.                     "model_type": "embedding"

  591.                 },

  592.                 {

  593.                     "llm_name": "jina-embeddings-v2-base-de",

  594.                     "tags": "TEXT EMBEDDING",

  595.                     "max_tokens": 8196,

  596.                     "model_type": "embedding"

  597.                 },

  598.                 {

  599.                     "llm_name": "jina-embeddings-v2-base-es",

  600.                     "tags": "TEXT EMBEDDING",

  601.                     "max_tokens": 8196,

  602.                     "model_type": "embedding"

  603.                 },

  604.                 {

  605.                     "llm_name": "jina-embeddings-v2-base-code",

  606.                     "tags": "TEXT EMBEDDING",

  607.                     "max_tokens": 8196,

  608.                     "model_type": "embedding"

  609.                 },

  610.                 {

  611.                     "llm_name": "jina-embeddings-v2-base-zh",

  612.                     "tags": "TEXT EMBEDDING",

  613.                     "max_tokens": 8196,

  614.                     "model_type": "embedding"

  615.                 },

  616.                 {

  617.                     "llm_name": "jina-reranker-v2-base-multilingual",

  618.                     "tags": "RE-RANK,8k",

  619.                     "max_tokens": 8196,

  620.                     "model_type": "rerank"

  621.                 },

  622.                 {

  623.                     "llm_name": "jina-embeddings-v3",

  624.                     "tags": "TEXT EMBEDDING",

  625.                     "max_tokens": 8196,

  626.                     "model_type": "embedding"

  627.                 }

  628.             ]

  629.         },

  630.         {

  631.             "name": "BAAI",

  632.             "logo": "",

  633.             "tags": "TEXT EMBEDDING, TEXT RE-RANK",

  634.             "status": "1",

  635.             "llm": [

  636.                 {

  637.                     "llm_name": "BAAI/bge-large-zh-v1.5",

  638.                     "tags": "TEXT EMBEDDING,",

  639.                     "max_tokens": 1024,

  640.                     "model_type": "embedding"

  641.                 }

  642.             ]

  643.         },

  644.         {

  645.             "name": "MiniMax",

  646.             "logo": "",

  647.             "tags": "LLM,TEXT EMBEDDING",

  648.             "status": "1",

  649.             "llm": [

  650.                 {

  651.                     "llm_name": "abab6.5-chat",

  652.                     "tags": "LLM,CHAT,8k",

  653.                     "max_tokens": 8192,

  654.                     "model_type": "chat"

  655.                 },

  656.                 {

  657.                     "llm_name": "abab6.5s-chat",

  658.                     "tags": "LLM,CHAT,245k",

  659.                     "max_tokens": 245760,

  660.                     "model_type": "chat",

  661.                     "is_tools": true

  662.                 },

  663.                 {

  664.                     "llm_name": "abab6.5t-chat",

  665.                     "tags": "LLM,CHAT,8k",

  666.                     "max_tokens": 8192,

  667.                     "model_type": "chat"

  668.                 },

  669.                 {

  670.                     "llm_name": "abab6.5g-chat",

  671.                     "tags": "LLM,CHAT,8k",

  672.                     "max_tokens": 8192,

  673.                     "model_type": "chat"

  674.                 },

  675.                 {

  676.                     "llm_name": "abab5.5s-chat",

  677.                     "tags": "LLM,CHAT,8k",

  678.                     "max_tokens": 8192,

  679.                     "model_type": "chat"

  680.                 }

  681.             ]

  682.         },

  683.         {

  684.             "name": "Mistral",

  685.             "logo": "",

  686.             "tags": "LLM,TEXT EMBEDDING,MODERATION",

  687.             "status": "1",

  688.             "llm": [

  689.                 {

  690.                     "llm_name": "codestral-latest",

  691.                     "tags": "LLM,CHAT,256k",

  692.                     "max_tokens": 256000,

  693.                     "model_type": "chat",

  694.                     "is_tools": true

  695.                 },

  696.                 {

  697.                     "llm_name": "mistral-large-latest",

  698.                     "tags": "LLM,CHAT,131k",

  699.                     "max_tokens": 131000,

  700.                     "model_type": "chat",

  701.                     "is_tools": true

  702.                 },

  703.                 {

  704.                     "llm_name": "mistral-saba-latest",

  705.                     "tags": "LLM,CHAT,32k",

  706.                     "max_tokens": 32000,

  707.                     "model_type": "chat"

  708.                 },

  709.                 {

  710.                     "llm_name": "pixtral-large-latest",

  711.                     "tags": "LLM,CHAT,IMAGE2TEXT,131k",

  712.                     "max_tokens": 131000,

  713.                     "model_type": "image2text",

  714.                     "is_tools": true

  715.                 },

  716.                 {

  717.                     "llm_name": "ministral-3b-latest",

  718.                     "tags": "LLM,CHAT,131k",

  719.                     "max_tokens": 131000,

  720.                     "model_type": "chat",

  721.                     "is_tools": true

  722.                 },

  723.                 {

  724.                     "llm_name": "ministral-8b-latest",

  725.                     "tags": "LLM,CHAT,131k",

  726.                     "max_tokens": 131000,

  727.                     "model_type": "chat",

  728.                     "is_tools": true

  729.                 },

  730.                 {

  731.                     "llm_name": "mistral-embed",

  732.                     "tags": "TEXT EMBEDDING,8k",

  733.                     "max_tokens": 8192,

  734.                     "model_type": "embedding"

  735.                 },

  736.                 {

  737.                     "llm_name": "mistral-moderation-latest",

  738.                     "tags": "LLM,CHAT,8k",

  739.                     "max_tokens": 8192,

  740.                     "model_type": "chat"

  741.                 },

  742.                 {

  743.                     "llm_name": "mistral-small-latest",

  744.                     "tags": "LLM,CHAT,32k",

  745.                     "max_tokens": 32000,

  746.                     "model_type": "chat",

  747.                     "is_tools": true

  748.                 },

  749.                 {

  750.                     "llm_name": "pixtral-12b-2409",

  751.                     "tags": "LLM,IMAGE2TEXT,131k",

  752.                     "max_tokens": 131000,

  753.                     "model_type": "image2text"

  754.                 },

  755.                 {

  756.                     "llm_name": "mistral-ocr-latest",

  757.                     "tags": "LLM,IMAGE2TEXT,131k",

  758.                     "max_tokens": 131000,

  759.                     "model_type": "image2text"

  760.                 },

  761.                 {

  762.                     "llm_name": "open-mistral-nemo",

  763.                     "tags": "LLM,CHAT,131k",

  764.                     "max_tokens": 131000,

  765.                     "model_type": "chat",

  766.                     "is_tools": true

  767.                 },

  768.                 {

  769.                     "llm_name": "open-codestral-mamba",

  770.                     "tags": "LLM,CHAT,256k",

  771.                     "max_tokens": 256000,

  772.                     "model_type": "chat"

  773.                 }

  774.             ]

  775.         },

  776.         {

  777.             "name": "Azure-OpenAI",

  778.             "logo": "",

  779.             "tags": "LLM,TEXT EMBEDDING,SPEECH2TEXT,MODERATION",

  780.             "status": "1",

  781.             "llm": [

  782.                 {

  783.                     "llm_name": "gpt-4o-mini",

  784.                     "tags": "LLM,CHAT,128K",

  785.                     "max_tokens": 128000,

  786.                     "model_type": "image2text",

  787.                     "is_tools": true

  788.                 },

  789.                 {

  790.                     "llm_name": "gpt-4o",

  791.                     "tags": "LLM,CHAT,128K",

  792.                     "max_tokens": 128000,

  793.                     "model_type": "image2text",

  794.                     "is_tools": true

  795.                 },

  796.                 {

  797.                     "llm_name": "gpt-3.5-turbo",

  798.                     "tags": "LLM,CHAT,4K",

  799.                     "max_tokens": 4096,

  800.                     "model_type": "chat",

  801.                     "is_tools": false

  802.                 },

  803.                 {

  804.                     "llm_name": "gpt-3.5-turbo-16k",

  805.                     "tags": "LLM,CHAT,16k",

  806.                     "max_tokens": 16385,

  807.                     "model_type": "chat"

  808.                 },

  809.                 {

  810.                     "llm_name": "text-embedding-ada-002",

  811.                     "tags": "TEXT EMBEDDING,8K",

  812.                     "max_tokens": 8191,

  813.                     "model_type": "embedding"

  814.                 },

  815.                 {

  816.                     "llm_name": "text-embedding-3-small",

  817.                     "tags": "TEXT EMBEDDING,8K",

  818.                     "max_tokens": 8191,

  819.                     "model_type": "embedding"

  820.                 },

  821.                 {

  822.                     "llm_name": "text-embedding-3-large",

  823.                     "tags": "TEXT EMBEDDING,8K",

  824.                     "max_tokens": 8191,

  825.                     "model_type": "embedding"

  826.                 },

  827.                 {

  828.                     "llm_name": "whisper-1",

  829.                     "tags": "SPEECH2TEXT",

  830.                     "max_tokens": 26214400,

  831.                     "model_type": "speech2text"

  832.                 },

  833.                 {

  834.                     "llm_name": "gpt-4",

  835.                     "tags": "LLM,CHAT,8K",

  836.                     "max_tokens": 8191,

  837.                     "model_type": "chat"

  838.                 },

  839.                 {

  840.                     "llm_name": "gpt-4-turbo",

  841.                     "tags": "LLM,CHAT,8K",

  842.                     "max_tokens": 8191,

  843.                     "model_type": "chat",

  844.                     "is_tools": true

  845.                 },

  846.                 {

  847.                     "llm_name": "gpt-4-32k",

  848.                     "tags": "LLM,CHAT,32K",

  849.                     "max_tokens": 32768,

  850.                     "model_type": "chat"

  851.                 },

  852.                 {

  853.                     "llm_name": "gpt-4-vision-preview",

  854.                     "tags": "LLM,CHAT,IMAGE2TEXT",

  855.                     "max_tokens": 765,

  856.                     "model_type": "image2text"

  857.                 }

  858.             ]

  859.         },

  860.         {

  861.             "name": "Bedrock",

  862.             "logo": "",

  863.             "tags": "LLM,TEXT EMBEDDING",

  864.             "status": "1",

  865.             "llm": []

  866.         },

  867.         {

  868.             "name": "Gemini",

  869.             "logo": "",

  870.             "tags": "LLM,TEXT EMBEDDING,IMAGE2TEXT",

  871.             "status": "1",

  872.             "llm": [

  873.                 {

  874.                     "llm_name": "gemini-2.0-flash-001",

  875.                     "tags": "LLM,CHAT,1024K",

  876.                     "max_tokens": 1048576,

  877.                     "model_type": "image2text",

  878.                     "is_tools": true

  879.                 },

  880.                 {

  881.                     "llm_name": "gemini-2.0-flash-thinking-exp-01-21",

  882.                     "tags": "LLM,CHAT,1024K",

  883.                     "max_tokens": 1048576,

  884.                     "model_type": "chat",

  885.                     "is_tools": true

  886.                 },

  887.                 {

  888.                     "llm_name": "gemini-1.5-flash",

  889.                     "tags": "LLM,IMAGE2TEXT,1024K",

  890.                     "max_tokens": 1048576,

  891.                     "model_type": "image2text"

  892.                 },

  893.                 {

  894.                     "llm_name": "gemini-2.5-pro-exp-03-25",

  895.                     "tags": "LLM,IMAGE2TEXT,1024K",

  896.                     "max_tokens": 1048576,

  897.                     "model_type": "image2text"

  898.                 },

  899.                 {

  900.                     "llm_name": "gemini-1.5-pro",

  901.                     "tags": "LLM,IMAGE2TEXT,2048K",

  902.                     "max_tokens": 2097152,

  903.                     "model_type": "image2text"

  904.                 },

  905.                 {

  906.                     "llm_name": "gemini-1.5-flash-8b",

  907.                     "tags": "LLM,IMAGE2TEXT,1024K",

  908.                     "max_tokens": 1048576,

  909.                     "model_type": "image2text",

  910.                     "is_tools": true

  911.                 },

  912.                 {

  913.                     "llm_name": "text-embedding-004",

  914.                     "tags": "TEXT EMBEDDING",

  915.                     "max_tokens": 2048,

  916.                     "model_type": "embedding"

  917.                 },

  918.                 {

  919.                     "llm_name": "embedding-001",

  920.                     "tags": "TEXT EMBEDDING",

  921.                     "max_tokens": 2048,

  922.                     "model_type": "embedding"

  923.                 }

  924.             ]

  925.         },

  926.         {

  927.             "name": "Groq",

  928.             "logo": "",

  929.             "tags": "LLM",

  930.             "status": "1",

  931.             "llm": [

  932.                 {

  933.                     "llm_name": "gemma-7b-it",

  934.                     "tags": "LLM,CHAT,15k",

  935.                     "max_tokens": 8192,

  936.                     "model_type": "chat"

  937.                 },

  938.                 {

  939.                     "llm_name": "gemma2-9b-it",

  940.                     "tags": "LLM,CHAT,15k",

  941.                     "max_tokens": 8192,

  942.                     "model_type": "chat"

  943.                 },

  944.                 {

  945.                     "llm_name": "llama3-70b-8192",

  946.                     "tags": "LLM,CHAT,6k",

  947.                     "max_tokens": 8192,

  948.                     "model_type": "chat"

  949.                 },

  950.                 {

  951.                     "llm_name": "llama3-8b-8192",

  952.                     "tags": "LLM,CHAT,30k",

  953.                     "max_tokens": 8192,

  954.                     "model_type": "chat"

  955.                 },

  956.                 {

  957.                     "llm_name": "llama-3.1-70b-versatile",

  958.                     "tags": "LLM,CHAT,128k",

  959.                     "max_tokens": 131072,

  960.                     "model_type": "chat",

  961.                     "is_tools": true

  962.                 },

  963.                 {

  964.                     "llm_name": "llama-3.1-8b-instant",

  965.                     "tags": "LLM,CHAT,128k",

  966.                     "max_tokens": 131072,

  967.                     "model_type": "chat",

  968.                     "is_tools": true

  969.                 },

  970.                 {

  971.                     "llm_name": "llama-3.3-70b-versatile",

  972.                     "tags": "LLM,CHAT,128k",

  973.                     "max_tokens": 128000,

  974.                     "model_type": "chat",

  975.                     "is_tools": true

  976.                 },

  977.                 {

  978.                     "llm_name": "llama-3.3-70b-specdec",

  979.                     "tags": "LLM,CHAT,8k",

  980.                     "max_tokens": 8192,

  981.                     "model_type": "chat"

  982.                 },

  983.                 {

  984.                     "llm_name": "mixtral-8x7b-32768",

  985.                     "tags": "LLM,CHAT,5k",

  986.                     "max_tokens": 32768,

  987.                     "model_type": "chat"

  988.                 }

  989.             ]

  990.         },

  991.         {

  992.             "name": "OpenRouter",

  993.             "logo": "",

  994.             "tags": "LLM,IMAGE2TEXT",

  995.             "status": "1",

  996.             "llm": []

  997.         },

  998.         {

  999.             "name": "StepFun",

  1000.             "logo": "",

  1001.             "tags": "LLM",

  1002.             "status": "1",

  1003.             "llm": [

  1004.                 {

  1005.                     "llm_name": "step-1-8k",

  1006.                     "tags": "LLM,CHAT,8k",

  1007.                     "max_tokens": 8192,

  1008.                     "model_type": "chat",

  1009.                     "is_tools": true

  1010.                 },

  1011.                 {

  1012.                     "llm_name": "step-1-32k",

  1013.                     "tags": "LLM,CHAT,32k",

  1014.                     "max_tokens": 32768,

  1015.                     "model_type": "chat",

  1016.                     "is_tools": true

  1017.                 },

  1018.                 {

  1019.                     "llm_name": "step-1-128k",

  1020.                     "tags": "LLM,CHAT,128k",

  1021.                     "max_tokens": 131072,

  1022.                     "model_type": "chat",

  1023.                     "is_tools": true

  1024.                 },

  1025.                 {

  1026.                     "llm_name": "step-1-256k",

  1027.                     "tags": "LLM,CHAT,256k",

  1028.                     "max_tokens": 262144,

  1029.                     "model_type": "chat",

  1030.                     "is_tools": true

  1031.                 },

  1032.                 {

  1033.                     "llm_name": "step-1v-8k",

  1034.                     "tags": "LLM,CHAT,IMAGE2TEXT",

  1035.                     "max_tokens": 8192,

  1036.                     "model_type": "image2text",

  1037.                     "is_tools": true

  1038.                 }

  1039.             ]

  1040.         },

  1041.         {

  1042.             "name": "NVIDIA",

  1043.             "logo": "",

  1044.             "tags": "LLM,TEXT EMBEDDING, TEXT RE-RANK",

  1045.             "status": "1",

  1046.             "llm": [

  1047.                 {

  1048.                     "llm_name": "01-ai/yi-large",

  1049.                     "tags": "LLM,CHAT,32K",

  1050.                     "max_tokens": 32768,

  1051.                     "model_type": "chat"

  1052.                 },

  1053.                 {

  1054.                     "llm_name": "abacusai/dracarys-llama-3.1-70b-instruct",

  1055.                     "tags": "LLM,CHAT,128K",

  1056.                     "max_tokens": 131072,

  1057.                     "model_type": "chat"

  1058.                 },

  1059.                 {

  1060.                     "llm_name": "ai21labs/jamba-1.5-large-instruct",

  1061.                     "tags": "LLM,CHAT,256K",

  1062.                     "max_tokens": 256000,

  1063.                     "model_type": "chat"

  1064.                 },

  1065.                 {

  1066.                     "llm_name": "ai21labs/jamba-1.5-mini-instruct",

  1067.                     "tags": "LLM,CHAT,256K",

  1068.                     "max_tokens": 256000,

  1069.                     "model_type": "chat"

  1070.                 },

  1071.                 {

  1072.                     "llm_name": "aisingapore/sea-lion-7b-instruct",

  1073.                     "tags": "LLM,CHAT,128K",

  1074.                     "max_tokens": 131072,

  1075.                     "model_type": "chat"

  1076.                 },

  1077.                 {

  1078.                     "llm_name": "baichuan-inc/baichuan2-13b-chat",

  1079.                     "tags": "LLM,CHAT,192K",

  1080.                     "max_tokens": 196608,

  1081.                     "model_type": "chat",

  1082.                     "is_tools": true

  1083.                 },

  1084.                 {

  1085.                     "llm_name": "bigcode/starcoder2-7b",

  1086.                     "tags": "LLM,CHAT,16K",

  1087.                     "max_tokens": 16384,

  1088.                     "model_type": "chat"

  1089.                 },

  1090.                 {

  1091.                     "llm_name": "bigcode/starcoder2-15b",

  1092.                     "tags": "LLM,CHAT,16K",

  1093.                     "max_tokens": 16384,

  1094.                     "model_type": "chat"

  1095.                 },

  1096.                 {

  1097.                     "llm_name": "databricks/dbrx-instruct",

  1098.                     "tags": "LLM,CHAT,32K",

  1099.                     "max_tokens": 32768,

  1100.                     "model_type": "chat",

  1101.                     "is_tools": true

  1102.                 },

  1103.                 {

  1104.                     "llm_name": "deepseek-ai/deepseek-r1",

  1105.                     "tags": "LLM,CHAT,128K",

  1106.                     "max_tokens": 131072,

  1107.                     "model_type": "chat"

  1108.                 },

  1109.                 {

  1110.                     "llm_name": "google/gemma-2b",

  1111.                     "tags": "LLM,CHAT,8K",

  1112.                     "max_tokens": 8192,

  1113.                     "model_type": "chat"

  1114.                 },

  1115.                 {

  1116.                     "llm_name": "google/gemma-7b",

  1117.                     "tags": "LLM,CHAT,8K",

  1118.                     "max_tokens": 8192,

  1119.                     "model_type": "chat"

  1120.                 },

  1121.                 {

  1122.                     "llm_name": "google/gemma-2-2b-it",

  1123.                     "tags": "LLM,CHAT,4K",

  1124.                     "max_tokens": 4096,

  1125.                     "model_type": "chat"

  1126.                 },

  1127.                 {

  1128.                     "llm_name": "google/gemma-2-9b-it",

  1129.                     "tags": "LLM,CHAT,4K",

  1130.                     "max_tokens": 4096,

  1131.                     "model_type": "chat"

  1132.                 },

  1133.                 {

  1134.                     "llm_name": "google/gemma-2-27b-it",

  1135.                     "tags": "LLM,CHAT,4K",

  1136.                     "max_tokens": 4096,

  1137.                     "model_type": "chat"

  1138.                 },

  1139.                 {

  1140.                     "llm_name": "google/codegemma-1.1-7b",

  1141.                     "tags": "LLM,CHAT,8K",

  1142.                     "max_tokens": 8192,

  1143.                     "model_type": "chat"

  1144.                 },

  1145.                 {

  1146.                     "llm_name": "google/codegemma-7b",

  1147.                     "tags": "LLM,CHAT,8K",

  1148.                     "max_tokens": 8192,

  1149.                     "model_type": "chat"

  1150.                 },

  1151.                 {

  1152.                     "llm_name": "google/recurrentgemma-2b",

  1153.                     "tags": "LLM,CHAT,8K",

  1154.                     "max_tokens": 8192,

  1155.                     "model_type": "chat"

  1156.                 },

  1157.                 {

  1158.                     "llm_name": "google/shieldgemma-9b",

  1159.                     "tags": "LLM,CHAT,8K",

  1160.                     "max_tokens": 8192,

  1161.                     "model_type": "chat"

  1162.                 },

  1163.                 {

  1164.                     "llm_name": "ibm/granite-3.0-3b-a800m-instruct",

  1165.                     "tags": "LLM,CHAT,4K",

  1166.                     "max_tokens": 4096,

  1167.                     "model_type": "chat"

  1168.                 },

  1169.                 {

  1170.                     "llm_name": "ibm/granite-3.0-8b-instruct",

  1171.                     "tags": "LLM,CHAT,4K",

  1172.                     "max_tokens": 4096,

  1173.                     "model_type": "chat"

  1174.                 },

  1175.                 {

  1176.                     "llm_name": "ibm/granite-34b-code-instruct",

  1177.                     "tags": "LLM,CHAT,8K",

  1178.                     "max_tokens": 8192,

  1179.                     "model_type": "chat",

  1180.                     "is_tools": true

  1181.                 },

  1182.                 {

  1183.                     "llm_name": "ibm/granite-8b-code-instruct",

  1184.                     "tags": "LLM,CHAT,128K",

  1185.                     "max_tokens": 131072,

  1186.                     "model_type": "chat",

  1187.                     "is_tools": true

  1188.                 },

  1189.                 {

  1190.                     "llm_name": "ibm/granite-guardian-3.0-8b",

  1191.                     "tags": "LLM,CHAT,128k",

  1192.                     "max_tokens": 131072,

  1193.                     "model_type": "chat"                    

  1194.                 },

  1195.                 {

  1196.                     "llm_name": "igenius / colosseum-355b_instruct_16k",

  1197.                     "tags": "LLM,CHAT,16K",

  1198.                     "max_tokens": 16384,

  1199.                     "model_type": "chat"

  1200.                 },

  1201.                 {

  1202.                     "llm_name": "igenius / italia_10b_instruct_16k",

  1203.                     "tags": "LLM,CHAT,16K",

  1204.                     "max_tokens": 16384,

  1205.                     "model_type": "chat"

  1206.                 },

  1207.                 {

  1208.                     "llm_name": "institute-of-science-tokyo/llama-3.1-swallow-70b-instruct-v01",

  1209.                     "tags": "LLM,CHAT,8K",

  1210.                     "max_tokens": 8192,

  1211.                     "model_type": "chat"

  1212.                 },

  1213.                 {

  1214.                     "llm_name": "institute-of-science-tokyo/llama-3.1-swallow-8b-instruct-v0.1",

  1215.                     "tags": "LLM,CHAT,8K",

  1216.                     "max_tokens": 8192,

  1217.                     "model_type": "chat"

  1218.                 },

  1219.                 {

  1220.                     "llm_name": "mediatek/breeze-7b-instruct",

  1221.                     "tags": "LLM,CHAT,8K",

  1222.                     "max_tokens": 8192,

  1223.                     "model_type": "chat"

  1224.                 },

  1225.                 {

  1226.                     "llm_name": "meta/codellama-70b",

  1227.                     "tags": "LLM,CHAT,100K",

  1228.                     "max_tokens": 100000,

  1229.                     "model_type": "chat"

  1230.                 },

  1231.                 {

  1232.                     "llm_name": "meta/llama2-70b",

  1233.                     "tags": "LLM,CHAT,4K",

  1234.                     "max_tokens": 4096,

  1235.                     "model_type": "chat"

  1236.                 },

  1237.                 {

  1238.                     "llm_name": "meta/llama3-8b",

  1239.                     "tags": "LLM,CHAT,8K",

  1240.                     "max_tokens": 8192,

  1241.                     "model_type": "chat"

  1242.                 },

  1243.                 {

  1244.                     "llm_name": "meta/llama3-70b",

  1245.                     "tags": "LLM,CHAT,",

  1246.                     "max_tokens": 8192,

  1247.                     "model_type": "chat"

  1248.                 },

  1249.                 {

  1250.                     "llm_name": "meta/llama-3.1-8b-instruct",

  1251.                     "tags": "LLM,CHAT,128K",

  1252.                     "max_tokens": 131072,

  1253.                     "model_type": "chat"

  1254.                 },

  1255.                 {

  1256.                     "llm_name": "meta/llama-3.1-70b-instruct",

  1257.                     "tags": "LLM,CHAT,128K",

  1258.                     "max_tokens": 131072,

  1259.                     "model_type": "chat"

  1260.                 },

  1261.                 {

  1262.                     "llm_name": "meta/llama-3.1-405b-instruct",

  1263.                     "tags": "LLM,CHAT,128K",

  1264.                     "max_tokens": 131072,

  1265.                     "model_type": "chat"

  1266.                 },

  1267.                 {

  1268.                     "llm_name": "meta/llama-3.2-1b-instruct",

  1269.                     "tags": "LLM,CHAT,128K",

  1270.                     "max_tokens": 131072,

  1271.                     "model_type": "chat"

  1272.                 },

  1273.                 {

  1274.                     "llm_name": "meta/llama-3.2-3b-instruct",

  1275.                     "tags": "LLM,CHAT,128K",

  1276.                     "max_tokens": 131072,

  1277.                     "model_type": "chat"

  1278.                 },

  1279.                 {

  1280.                     "llm_name": "meta/llama-3.3-70b-instruct",

  1281.                     "tags": "LLM,CHAT,128K",

  1282.                     "max_tokens": 131072,

  1283.                     "model_type": "chat"

  1284.                 },

  1285.                 {

  1286.                     "llm_name": "microsoft/phi-3-medium-128k-instruct",

  1287.                     "tags": "LLM,CHAT,128K",

  1288.                     "max_tokens": 131072,

  1289.                     "model_type": "chat"

  1290.                 },

  1291.                 {

  1292.                     "llm_name": "microsoft/phi-3-medium-4k-instruct",

  1293.                     "tags": "LLM,CHAT,4K",

  1294.                     "max_tokens": 4096,

  1295.                     "model_type": "chat"

  1296.                 },

  1297.                 {

  1298.                     "llm_name": "microsoft/phi-3-mini-128k-instruct",

  1299.                     "tags": "LLM,CHAT,128K",

  1300.                     "max_tokens": 131072,

  1301.                     "model_type": "chat"

  1302.                 },

  1303.                 {

  1304.                     "llm_name": "microsoft/phi-3-mini-4k-instruct",

  1305.                     "tags": "LLM,CHAT,4K",

  1306.                     "max_tokens": 4096,

  1307.                     "model_type": "chat"

  1308.                 },

  1309.                 {

  1310.                     "llm_name": "microsoft/phi-3-small-128k-instruct",

  1311.                     "tags": "LLM,CHAT,128K",

  1312.                     "max_tokens": 131072,

  1313.                     "model_type": "chat"

  1314.                 },

  1315.                 {

  1316.                     "llm_name": "microsoft/phi-3-small-8k-instruct",

  1317.                     "tags": "LLM,CHAT,8K",

  1318.                     "max_tokens": 8192,

  1319.                     "model_type": "chat"

  1320.                 },

  1321.                 {

  1322.                     "llm_name": "microsoft/phi-3.5-mini",

  1323.                     "tags": "LLM,CHAT,128K",

  1324.                     "max_tokens": 131072,

  1325.                     "model_type": "chat"

  1326.                 },

  1327.                 {

  1328.                     "llm_name": "microsoft/phi-3.5-moe-instruct",

  1329.                     "tags": "LLM,CHAT,128K",

  1330.                     "max_tokens": 131072,

  1331.                     "model_type": "chat"

  1332.                 },

  1333.                 {

  1334.                     "llm_name": "mistralai/codestral-22b-instruct-v0.1",

  1335.                     "tags": "LLM,CHAT,32K",

  1336.                     "max_tokens": 32768,

  1337.                     "model_type": "chat",

  1338.                     "is_tools": true

  1339.                 },

  1340.                 {

  1341.                     "llm_name": "mistralai/mamba-codestral-7b-v0.1",

  1342.                     "tags": "LLM,CHAT,4K",

  1343.                     "max_tokens": 4096,

  1344.                     "model_type": "chat"

  1345.                 },

  1346.                 {

  1347.                     "llm_name": "mistralai/mistral-2-large-instruct",

  1348.                     "tags": "LLM,CHAT,128K",

  1349.                     "max_tokens": 131072,

  1350.                     "model_type": "chat"

  1351.                 },

  1352.                 {

  1353.                     "llm_name": "mistralai/mathstral-7b-v01",

  1354.                     "tags": "LLM,CHAT,4K",

  1355.                     "max_tokens": 4096,

  1356.                     "model_type": "chat"

  1357.                 },

  1358.                 {

  1359.                     "llm_name": "mistralai/mistral-7b-instruct",

  1360.                     "tags": "LLM,CHAT,32K",

  1361.                     "max_tokens": 32768,

  1362.                     "model_type": "chat"

  1363.                 },

  1364.                 {

  1365.                     "llm_name": "mistralai/mistral-7b-instruct-v0.3",

  1366.                     "tags": "LLM,CHAT,32K",

  1367.                     "max_tokens": 32768,

  1368.                     "model_type": "chat"

  1369.                 },

  1370.                 {

  1371.                     "llm_name": "mistralai/mixtral-8x7b-instruct",

  1372.                     "tags": "LLM,CHAT,32K",

  1373.                     "max_tokens": 32768,

  1374.                     "model_type": "chat"

  1375.                 },

  1376.                 {

  1377.                     "llm_name": "mistralai/mixtral-8x22b-instruct",

  1378.                     "tags": "LLM,CHAT,64K",

  1379.                     "max_tokens": 65536,

  1380.                     "model_type": "chat"

  1381.                 },

  1382.                 {

  1383.                     "llm_name": "mistralai/mistral-large",

  1384.                     "tags": "LLM,CHAT,32K",

  1385.                     "max_tokens": 32768,

  1386.                     "model_type": "chat",

  1387.                     "is_tools": true

  1388.                 },

  1389.                 {

  1390.                     "llm_name": "mistralai/mistral-small-24b-instruct",

  1391.                     "tags": "LLM,CHAT,32K",

  1392.                     "max_tokens": 32768,

  1393.                     "model_type": "chat"

  1394.                 },

  1395.                 {

  1396.                     "llm_name": "nvidia/llama3-chatqa-1.5-8b",

  1397.                     "tags": "LLM,CHAT,8K",

  1398.                     "max_tokens": 8192,

  1399.                     "model_type": "chat"

  1400.                 },

  1401.                 {

  1402.                     "llm_name": "nvidia/llama-3.1-nemoguard-8b-content-safety",

  1403.                     "tags": "LLM,CHAT,128K",

  1404.                     "max_tokens": 131072,

  1405.                     "model_type": "chat"

  1406.                 },

  1407.                 {

  1408.                     "llm_name": "nvidia/llama-3.1-nemoguard-8b-topic-control",

  1409.                     "tags": "LLM,CHAT,128K",

  1410.                     "max_tokens": 131072,

  1411.                     "model_type": "chat"

  1412.                 },

  1413.                 {

  1414.                     "llm_name": "nvidia/llama-3.1-nemotron-51b-instruct",

  1415.                     "tags": "LLM,CHAT,128K",

  1416.                     "max_tokens": 131072,

  1417.                     "model_type": "chat"

  1418.                 },

  1419.                 {

  1420.                     "llm_name": "nvidia/llama-3.1-nemotron-70b-instruct",

  1421.                     "tags": "LLM,CHAT,128K",

  1422.                     "max_tokens": 131072,

  1423.                     "model_type": "chat"

  1424.                 },

  1425.                 {

  1426.                     "llm_name": "nvidia/llama-3.1-nemotron-70b-reward",

  1427.                     "tags": "LLM,CHAT,128K",

  1428.                     "max_tokens": 128000,

  1429.                     "model_type": "chat"

  1430.                 },

  1431.                 {

  1432.                     "llm_name": "nvidia/llama3-chatqa-1.5-70b",

  1433.                     "tags": "LLM,CHAT,128K",

  1434.                     "max_tokens": 131072,

  1435.                     "model_type": "chat"

  1436.                 },

  1437.                 {

  1438.                     "llm_name": "nvidia/mistral-nemo-minitron-8b-base",

  1439.                     "tags": "LLM,CHAT,8K",

  1440.                     "max_tokens": 8192,

  1441.                     "model_type": "chat"

  1442.                 },

  1443.                 {

  1444.                     "llm_name": "nvidia/mistral-nemo-minitron-8b-8k-instruct",

  1445.                     "tags": "LLM,CHAT,8K",

  1446.                     "max_tokens": 8192,

  1447.                     "model_type": "chat"

  1448.                 },

  1449.                 {

  1450.                     "llm_name": "nvidia/nemotron-4-340b-instruct",

  1451.                     "tags": "LLM,CHAT,4K",

  1452.                     "max_tokens": 4096,

  1453.                     "model_type": "chat",

  1454.                     "is_tools": true

  1455.                 },

  1456.                 {

  1457.                     "llm_name": "nvidia/nemotron-4-340b-reward",

  1458.                     "tags": "LLM,CHAT,4K",

  1459.                     "max_tokens": 4096,

  1460.                     "model_type": "chat"

  1461.                 },

  1462.                 {

  1463.                     "llm_name": "nvidia/nemotron-4-mini-hindi-4b-instruct",

  1464.                     "tags": "LLM,CHAT,4K",

  1465.                     "max_tokens": 4096,

  1466.                     "model_type": "chat"

  1467.                 },

  1468.                 {

  1469.                     "llm_name": "nvidia/nemotron-mini-4b-instruct",

  1470.                     "tags": "LLM,CHAT,4K",

  1471.                     "max_tokens": 4096,

  1472.                     "model_type": "chat"

  1473.                 },

  1474.                 {

  1475.                     "llm_name": "nv-mistralai/mistral-nemo-12b-instruct",

  1476.                     "tags": "LLM,CHAT,128K",

  1477.                     "max_tokens": 131072,

  1478.                     "model_type": "chat"

  1479.                 },

  1480.                 {

  1481.                     "llm_name": "qwen/qwen2-7b-instruct",

  1482.                     "tags": "LLM,CHAT,128K",

  1483.                     "max_tokens": 131072,

  1484.                     "model_type": "chat",

  1485.                     "is_tools": true

  1486.                 },

  1487.                 {

  1488.                     "llm_name": "qwen/qwen2.5-7b-instruct",

  1489.                     "tags": "LLM,CHAT,128K",

  1490.                     "max_tokens": 131072,

  1491.                     "model_type": "chat",

  1492.                     "is_tools": true

  1493.                 },

  1494.                 {

  1495.                     "llm_name": "qwen/qwen2.5-coder-7b-instruct",

  1496.                     "tags": "LLM,CHAT,32K",

  1497.                     "max_tokens": 32768,

  1498.                     "model_type": "chat",

  1499.                     "is_tools": true

  1500.                 },

  1501.                 {

  1502.                     "llm_name": "qwen/qwen2.5-coder-32b-instruct",

  1503.                     "tags": "LLM,CHAT,32K",

  1504.                     "max_tokens": 32768,

  1505.                     "model_type": "chat",

  1506.                     "is_tools": true

  1507.                 },

  1508.                 {

  1509.                     "llm_name": "rakuten/rakutenai-7b-chat",

  1510.                     "tags": "LLM,CHAT,4K",

  1511.                     "max_tokens": 4096,

  1512.                     "model_type": "chat"

  1513.                 },

  1514.                 {

  1515.                     "llm_name": "rakuten/rakutenai-7b-instruct",

  1516.                     "tags": "LLM,CHAT,32K",

  1517.                     "max_tokens": 32768,

  1518.                     "model_type": "chat"

  1519.                 },

  1520.                 {

  1521.                     "llm_name": "seallms/seallm-7b-v2.5",

  1522.                     "tags": "LLM,CHAT,8K",

  1523.                     "max_tokens": 8192,

  1524.                     "model_type": "chat"

  1525.                 },

  1526.                 {

  1527.                     "llm_name": "snowflake/arctic",

  1528.                     "tags": "LLM,CHAT,8K",

  1529.                     "max_tokens": 8192,

  1530.                     "model_type": "chat"

  1531.                 },

  1532.                 {

  1533.                     "llm_name": "tokyotech-llm/llama-3-swallow-70b-instruct-v01",

  1534.                     "tags": "LLM,CHAT,8K",

  1535.                     "max_tokens": 8192,

  1536.                     "model_type": "chat"

  1537.                 },

  1538.                 {

  1539.                     "llm_name": "thudm/chatglm3-6b",

  1540.                     "tags": "LLM,CHAT,128K",

  1541.                     "max_tokens": 131072,

  1542.                     "model_type": "chat",

  1543.                     "is_tools": true

  1544.                 },

  1545.                 {

  1546.                     "llm_name": "tiiuae/falcon3-7b-instruct",

  1547.                     "tags": "LLM,CHAT,32K",

  1548.                     "max_tokens": 32768,

  1549.                     "model_type": "chat"

  1550.                 },

  1551.                 {

  1552.                     "llm_name": "upstage/solar-10.7b-instruct",

  1553.                     "tags": "LLM,CHAT,8K",

  1554.                     "max_tokens": 8192,

  1555.                     "model_type": "chat",

  1556.                     "is_tools": true

  1557.                 },

  1558.                 {

  1559.                     "llm_name": "writer/palmyra-creative-122b",

  1560.                     "tags": "LLM,CHAT,128K",

  1561.                     "max_tokens": 131072,

  1562.                     "model_type": "chat"

  1563.                 },

  1564.                 {

  1565.                     "llm_name": "writer/palmyra-fin-70b-32k",

  1566.                     "tags": "LLM,CHAT,32K",

  1567.                     "max_tokens": 32768,

  1568.                     "model_type": "chat"

  1569.                 },

  1570.                 {

  1571.                     "llm_name": "writer/palmyra-med-70b-32k",

  1572.                     "tags": "LLM,CHAT,32K",

  1573.                     "max_tokens": 32768,

  1574.                     "model_type": "chat"

  1575.                 },

  1576.                 {

  1577.                     "llm_name": "writer/palmyra-med-70b",

  1578.                     "tags": "LLM,CHAT,8K",

  1579.                     "max_tokens": 8192,

  1580.                     "model_type": "chat"

  1581.                 },

  1582.                 {

  1583.                     "llm_name": "yentinglin/llama-3-taiwan-70b-instruct",

  1584.                     "tags": "LLM,CHAT,8K",

  1585.                     "max_tokens": 8192,

  1586.                     "model_type": "chat"

  1587.                 },

  1588.                 {

  1589.                     "llm_name": "zyphra/zamba2-7b-instruct",

  1590.                     "tags": "LLM,CHAT,4K",

  1591.                     "max_tokens": 4096,

  1592.                     "model_type": "chat"

  1593.                 },

  1594.                 {

  1595.                     "llm_name": "BAAI/bge-m3",

  1596.                     "tags": "TEXT EMBEDDING",

  1597.                     "max_tokens": 8192,

  1598.                     "model_type": "embedding"

  1599.                 },

  1600.                 {

  1601.                     "llm_name": "BAAI/bge-m3-unsupervised",

  1602.                     "tags": "TEXT EMBEDDING",

  1603.                     "max_tokens": 8192,

  1604.                     "model_type": "embedding"

  1605.                 },

  1606.                 {

  1607.                     "llm_name": "BAAI/bge-m3-retromae",

  1608.                     "tags": "TEXT EMBEDDING",

  1609.                     "max_tokens": 8129,

  1610.                     "model_type": "embedding"

  1611.                 },

  1612.                 {

  1613.                     "llm_name": "BAAI/bge-large-en-v1.5",

  1614.                     "tags": "TEXT EMBEDDING",

  1615.                     "max_tokens": 512,

  1616.                     "model_type": "embedding"

  1617.                 },

  1618.                 {

  1619.                     "llm_name": "BAAI/bge-base-en-v1.5",

  1620.                     "tags": "TEXT EMBEDDING",

  1621.                     "max_tokens": 512,

  1622.                     "model_type": "embedding"

  1623.                 },

  1624.                 {

  1625.                     "llm_name": "BAAI/bge-small-en-v1.5",

  1626.                     "tags": "TEXT EMBEDDING",

  1627.                     "max_tokens": 512,

  1628.                     "model_type": "embedding"

  1629.                 },

  1630.                 {

  1631.                     "llm_name": "nvidia/embed-qa-4",

  1632.                     "tags": "TEXT EMBEDDING",

  1633.                     "max_tokens": 512,

  1634.                     "model_type": "embedding"

  1635.                 },

  1636.                 {

  1637.                     "llm_name": "nvidia/llama-3.2-nv-embedqa-1b-v1",

  1638.                     "tags": "TEXT EMBEDDING",

  1639.                     "max_tokens": 512,

  1640.                     "model_type": "embedding"

  1641.                 },

  1642.                 {

  1643.                     "llm_name": "nvidia/llama-3.2-nv-embedqa-1b-v2",

  1644.                     "tags": "TEXT EMBEDDING",

  1645.                     "max_tokens": 8192,

  1646.                     "model_type": "embedding"

  1647.                 },

  1648.                 {

  1649.                     "llm_name": "nvidia/llama-3.2-nv-rerankqa-1b-v1",

  1650.                     "tags": "RE-RANK,512",

  1651.                     "max_tokens": 512,

  1652.                     "model_type": "rerank"

  1653.                 },

  1654.                 {

  1655.                     "llm_name": "nvidia/llama-3.2-nv-rerankqa-1b-v2",

  1656.                     "tags": "RE-RANK,8K",

  1657.                     "max_tokens": 8192,

  1658.                     "model_type": "rerank"

  1659.                 },

  1660.                 {

  1661.                     "llm_name": "nvidia/nvclip",

  1662.                     "tags": "TEXT EMBEDDING",

  1663.                     "max_tokens": 1024,

  1664.                     "model_type": "embedding"

  1665.                 },

  1666.                 {

  1667.                     "llm_name": "nvidia/nv-embed-v1",

  1668.                     "tags": "TEXT EMBEDDING",

  1669.                     "max_tokens": 4096,

  1670.                     "model_type": "embedding"

  1671.                 },

  1672.                 {

  1673.                     "llm_name": "nvidia/nv-embedqa-e5-v5",

  1674.                     "tags": "TEXT EMBEDDING",

  1675.                     "max_tokens": 1024,

  1676.                     "model_type": "embedding"

  1677.                 },

  1678.                 {

  1679.                     "llm_name": "nvidia/nv-embedqa-mistral-7b-v2",

  1680.                     "tags": "TEXT EMBEDDING",

  1681.                     "max_tokens": 4096,

  1682.                     "model_type": "embedding"

  1683.                 },

  1684.                 {

  1685.                     "llm_name": "nvidia/nv-rerankqa-mistral-4b-v3",

  1686.                     "tags": "RE-RANK,512",

  1687.                     "max_tokens": 512,

  1688.                     "model_type": "rerank"

  1689.                 },

  1690.                 {

  1691.                     "llm_name": "nvidia/rerank-qa-mistral-4b",

  1692.                     "tags": "RE-RANK,512",

  1693.                     "max_tokens": 512,

  1694.                     "model_type": "embedding"

  1695.                 },

  1696.                 {

  1697.                     "llm_name": "snowflake-arctic-embed-xs",

  1698.                     "tags": "TEXT EMBEDDING",

  1699.                     "max_tokens": 512,

  1700.                     "model_type": "embedding"

  1701.                 },

  1702.                 {

  1703.                     "llm_name": "snowflake-arctic-embed-s",

  1704.                     "tags": "TEXT EMBEDDING",

  1705.                     "max_tokens": 512,

  1706.                     "model_type": "embedding"

  1707.                 },

  1708.                 {

  1709.                     "llm_name": "snowflake-arctic-embed-m",

  1710.                     "tags": "TEXT EMBEDDING",

  1711.                     "max_tokens": 512,

  1712.                     "model_type": "embedding"

  1713.                 },

  1714.                 {

  1715.                     "llm_name": "snowflake-arctic-embed-m-long",

  1716.                     "tags": "TEXT EMBEDDING",

  1717.                     "max_tokens": 512,

  1718.                     "model_type": "embedding"

  1719.                 },

  1720.                 {

  1721.                     "llm_name": "snowflake-arctic-embed-l",

  1722.                     "tags": "TEXT EMBEDDING",

  1723.                     "max_tokens": 512,

  1724.                     "model_type": "embedding"

  1725.                 },

  1726. 

  1727. 

  1728.                 {

  1729.                     "llm_name": "adept/fuyu-8b",

  1730.                     "tags": "IMAGE2TEXT,1K",

  1731.                     "max_tokens": 1024,

  1732.                     "model_type": "image2text"

  1733.                 },

  1734.                 {

  1735.                     "llm_name": "google/deplot",

  1736.                     "tags": "IMAGE2TEXT,8K",

  1737.                     "max_tokens": 8192,

  1738.                     "model_type": "image2text"

  1739.                 },

  1740.                 {

  1741.                     "llm_name": "google/paligemma",

  1742.                     "tags": "IMAGE2TEXT,256K",

  1743.                     "max_tokens": 256000,

  1744.                     "model_type": "image2text"

  1745.                 },

  1746.                 {

  1747.                     "llm_name": "meta/llama-3.2-11b-vision-instruct",

  1748.                     "tags": "IMAGE2TEXT,128K",

  1749.                     "max_tokens": 131072,

  1750.                     "model_type": "image2text"

  1751.                 },

  1752.                 {

  1753.                     "llm_name": "meta/llama-3.2-90b-vision-instruct",

  1754.                     "tags": "IMAGE2TEXT,128K",

  1755.                     "max_tokens": 131072,

  1756.                     "model_type": "image2text"

  1757.                 },

  1758.                 {

  1759.                     "llm_name": "microsoft/florence-2",

  1760.                     "tags": "IMAGE2TEXT,1K",

  1761.                     "max_tokens": 1024,

  1762.                     "model_type": "image2text"

  1763.                 },

  1764.                 {

  1765.                     "llm_name": "microsoft/kosmos-2",

  1766.                     "tags": "IMAGE2TEXT,4K",

  1767.                     "max_tokens": 4096,

  1768.                     "model_type": "image2text"

  1769.                 },

  1770.                 {

  1771.                     "llm_name": "microsoft/phi-3-vision-128k-instruct",

  1772.                     "tags": "IMAGE2TEXT,128K",

  1773.                     "max_tokens": 131072,

  1774.                     "model_type": "image2text"

  1775.                 },

  1776.                 {

  1777.                     "llm_name": "microsoft/phi-3.5-vision-instruct",

  1778.                     "tags": "IMAGE2TEXT,128K",

  1779.                     "max_tokens": 131072,

  1780.                     "model_type": "image2text"

  1781.                 },

  1782.                 {

  1783.                     "llm_name": "nvidia/neva-22b",

  1784.                     "tags": "IMAGE2TEXT,1K",

  1785.                     "max_tokens": 1024,

  1786.                     "model_type": "image2text"

  1787.                 }

  1788.             ]

  1789.         },

  1790.         {

  1791.             "name": "LM-Studio",

  1792.             "logo": "",

  1793.             "tags": "LLM,TEXT EMBEDDING,IMAGE2TEXT",

  1794.             "status": "1",

  1795.             "llm": []

  1796.         },

  1797.         {

  1798.             "name": "Cohere",

  1799.             "logo": "",

  1800.             "tags": "LLM,TEXT EMBEDDING, TEXT RE-RANK",

  1801.             "status": "1",

  1802.             "llm": [

  1803.                 {

  1804.                     "llm_name": "command-r-plus",

  1805.                     "tags": "LLM,CHAT,128k",

  1806.                     "max_tokens": 131072,

  1807.                     "model_type": "chat",

  1808.                     "is_tools": true

  1809.                 },

  1810.                 {

  1811.                     "llm_name": "command-r",

  1812.                     "tags": "LLM,CHAT,128k",

  1813.                     "max_tokens": 131072,

  1814.                     "model_type": "chat",

  1815.                     "is_tools": true

  1816.                 },

  1817.                 {

  1818.                     "llm_name": "command",

  1819.                     "tags": "LLM,CHAT,4k",

  1820.                     "max_tokens": 4096,

  1821.                     "model_type": "chat"

  1822.                 },

  1823.                 {

  1824.                     "llm_name": "command-nightly",

  1825.                     "tags": "LLM,CHAT,128k",

  1826.                     "max_tokens": 131072,

  1827.                     "model_type": "chat"

  1828.                 },

  1829.                 {

  1830.                     "llm_name": "command-light",

  1831.                     "tags": "LLM,CHAT,4k",

  1832.                     "max_tokens": 4096,

  1833.                     "model_type": "chat"

  1834.                 },

  1835.                 {

  1836.                     "llm_name": "command-light-nightly",

  1837.                     "tags": "LLM,CHAT,4k",

  1838.                     "max_tokens": 4096,

  1839.                     "model_type": "chat"

  1840.                 },

  1841.                 {

  1842.                     "llm_name": "embed-english-v3.0",

  1843.                     "tags": "TEXT EMBEDDING",

  1844.                     "max_tokens": 512,

  1845.                     "model_type": "embedding"

  1846.                 },

  1847.                 {

  1848.                     "llm_name": "embed-english-light-v3.0",

  1849.                     "tags": "TEXT EMBEDDING",

  1850.                     "max_tokens": 512,

  1851.                     "model_type": "embedding"

  1852.                 },

  1853.                 {

  1854.                     "llm_name": "embed-multilingual-v3.0",

  1855.                     "tags": "TEXT EMBEDDING",

  1856.                     "max_tokens": 512,

  1857.                     "model_type": "embedding"

  1858.                 },

  1859.                 {

  1860.                     "llm_name": "embed-multilingual-light-v3.0",

  1861.                     "tags": "TEXT EMBEDDING",

  1862.                     "max_tokens": 512,

  1863.                     "model_type": "embedding"

  1864.                 },

  1865.                 {

  1866.                     "llm_name": "embed-english-v2.0",

  1867.                     "tags": "TEXT EMBEDDING",

  1868.                     "max_tokens": 512,

  1869.                     "model_type": "embedding"

  1870.                 },

  1871.                 {

  1872.                     "llm_name": "embed-english-light-v2.0",

  1873.                     "tags": "TEXT EMBEDDING",

  1874.                     "max_tokens": 512,

  1875.                     "model_type": "embedding"

  1876.                 },

  1877.                 {

  1878.                     "llm_name": "embed-multilingual-v2.0",

  1879.                     "tags": "TEXT EMBEDDING",

  1880.                     "max_tokens": 256,

  1881.                     "model_type": "embedding"

  1882.                 },

  1883.                 {

  1884.                     "llm_name": "rerank-english-v3.0",

  1885.                     "tags": "RE-RANK,4k",

  1886.                     "max_tokens": 4096,

  1887.                     "model_type": "rerank"

  1888.                 },

  1889.                 {

  1890.                     "llm_name": "rerank-multilingual-v3.0",

  1891.                     "tags": "RE-RANK,4k",

  1892.                     "max_tokens": 4096,

  1893.                     "model_type": "rerank"

  1894.                 },

  1895.                 {

  1896.                     "llm_name": "rerank-english-v2.0",

  1897.                     "tags": "RE-RANK,512",

  1898.                     "max_tokens": 512,

  1899.                     "model_type": "rerank"

  1900.                 },

  1901.                 {

  1902.                     "llm_name": "rerank-multilingual-v2.0",

  1903.                     "tags": "RE-RANK,512",

  1904.                     "max_tokens": 512,

  1905.                     "model_type": "rerank"

  1906.                 }

  1907.             ]

  1908.         },

  1909.         {

  1910.             "name": "LeptonAI",

  1911.             "logo": "",

  1912.             "tags": "LLM",

  1913.             "status": "1",

  1914.             "llm": [

  1915.                 {

  1916.                     "llm_name": "dolphin-mixtral-8x7b",

  1917.                     "tags": "LLM,CHAT,32k",

  1918.                     "max_tokens": 32768,

  1919.                     "model_type": "chat",

  1920.                     "is_tools": true

  1921.                 },

  1922.                 {

  1923.                     "llm_name": "gemma-7b",

  1924.                     "tags": "LLM,CHAT,8k",

  1925.                     "max_tokens": 8192,

  1926.                     "model_type": "chat"

  1927.                 },

  1928.                 {

  1929.                     "llm_name": "llama3-1-8b",

  1930.                     "tags": "LLM,CHAT,4k",

  1931.                     "max_tokens": 4096,

  1932.                     "model_type": "chat",

  1933.                     "is_tools": true

  1934.                 },

  1935.                 {

  1936.                     "llm_name": "llama3-8b",

  1937.                     "tags": "LLM,CHAT,8K",

  1938.                     "max_tokens": 8192,

  1939.                     "model_type": "chat"

  1940.                 },

  1941.                 {

  1942.                     "llm_name": "llama2-13b",

  1943.                     "tags": "LLM,CHAT,4K",

  1944.                     "max_tokens": 4096,

  1945.                     "model_type": "chat"

  1946.                 },

  1947.                 {

  1948.                     "llm_name": "llama3-1-70b",

  1949.                     "tags": "LLM,CHAT,8k",

  1950.                     "max_tokens": 8192,

  1951.                     "model_type": "chat",

  1952.                     "is_tools": true

  1953.                 },

  1954.                 {

  1955.                     "llm_name": "llama3-70b",

  1956.                     "tags": "LLM,CHAT,8k",

  1957.                     "max_tokens": 8192,

  1958.                     "model_type": "chat"

  1959.                 },

  1960.                 {

  1961.                     "llm_name": "llama3-1-405b",

  1962.                     "tags": "LLM,CHAT,8k",

  1963.                     "max_tokens": 8192,

  1964.                     "model_type": "chat",

  1965.                     "is_tools": true

  1966.                 },

  1967.                 {

  1968.                     "llm_name": "mistral-7b",

  1969.                     "tags": "LLM,CHAT,8K",

  1970.                     "max_tokens": 8192,

  1971.                     "model_type": "chat"

  1972.                 },

  1973.                 {

  1974.                     "llm_name": "mistral-8x7b",

  1975.                     "tags": "LLM,CHAT,8K",

  1976.                     "max_tokens": 8192,

  1977.                     "model_type": "chat"

  1978.                 },

  1979.                 {

  1980.                     "llm_name": "nous-hermes-llama2",

  1981.                     "tags": "LLM,CHAT,4k",

  1982.                     "max_tokens": 4096,

  1983.                     "model_type": "chat"

  1984.                 },

  1985.                 {

  1986.                     "llm_name": "openchat-3-5",

  1987.                     "tags": "LLM,CHAT,4k",

  1988.                     "max_tokens": 4096,

  1989.                     "model_type": "chat"

  1990.                 },

  1991.                 {

  1992.                     "llm_name": "toppy-m-7b",

  1993.                     "tags": "LLM,CHAT,4k",

  1994.                     "max_tokens": 4096,

  1995.                     "model_type": "chat"

  1996.                 },

  1997.                 {

  1998.                     "llm_name": "wizardlm-2-7b",

  1999.                     "tags": "LLM,CHAT,32k",

  2000.                     "max_tokens": 32768,

  2001.                     "model_type": "chat"

  2002.                 },

  2003.                 {

  2004.                     "llm_name": "wizardlm-2-8x22b",

  2005.                     "tags": "LLM,CHAT,64K",

  2006.                     "max_tokens": 65536,

  2007.                     "model_type": "chat"

  2008.                 }

  2009.             ]

  2010.         },

  2011.         {

  2012.             "name": "TogetherAI",

  2013.             "logo": "",

  2014.             "tags": "LLM,TEXT EMBEDDING,IMAGE2TEXT",

  2015.             "status": "1",

  2016.             "llm": []

  2017.         },

  2018.         {

  2019.             "name": "PerfXCloud",

  2020.             "logo": "",

  2021.             "tags": "LLM,TEXT EMBEDDING",

  2022.             "status": "1",

  2023.             "llm": [

  2024.                 {

  2025.                     "llm_name": "deepseek-v2-chat",

  2026.                     "tags": "LLM,CHAT,4k",

  2027.                     "max_tokens": 4096,

  2028.                     "model_type": "chat",

  2029.                     "is_tools": true

  2030.                 },

  2031.                 {

  2032.                     "llm_name": "llama3.1:405b",

  2033.                     "tags": "LLM,CHAT,128k",

  2034.                     "max_tokens": 131072,

  2035.                     "model_type": "chat",

  2036.                     "is_tools": true

  2037.                 },

  2038.                 {

  2039.                     "llm_name": "Qwen2-72B-Instruct",

  2040.                     "tags": "LLM,CHAT,128k",

  2041.                     "max_tokens": 131072,

  2042.                     "model_type": "chat",

  2043.                     "is_tools": true

  2044.                 },

  2045.                 {

  2046.                     "llm_name": "Qwen2-72B-Instruct-GPTQ-Int4",

  2047.                     "tags": "LLM,CHAT,2k",

  2048.                     "max_tokens": 2048,

  2049.                     "model_type": "chat",

  2050.                     "is_tools": true

  2051.                 },

  2052.                 {

  2053.                     "llm_name": "Qwen2-72B-Instruct-awq-int4",

  2054.                     "tags": "LLM,CHAT,32k",

  2055.                     "max_tokens": 32768,

  2056.                     "model_type": "chat",

  2057.                     "is_tools": true

  2058.                 },

  2059.                 {

  2060.                     "llm_name": "Llama3-Chinese_v2",

  2061.                     "tags": "LLM,CHAT,8k",

  2062.                     "max_tokens": 8192,

  2063.                     "model_type": "chat"

  2064.                 },

  2065.                 {

  2066.                     "llm_name": "Yi-1_5-9B-Chat-16K",

  2067.                     "tags": "LLM,CHAT,16k",

  2068.                     "max_tokens": 16384,

  2069.                     "model_type": "chat"

  2070.                 },

  2071.                 {

  2072.                     "llm_name": "Qwen1.5-72B-Chat-GPTQ-Int4",

  2073.                     "tags": "LLM,CHAT,2k",

  2074.                     "max_tokens": 2048,

  2075.                     "model_type": "chat"

  2076.                 },

  2077.                 {

  2078.                     "llm_name": "Meta-Llama-3.1-8B-Instruct",

  2079.                     "tags": "LLM,CHAT,4k",

  2080.                     "max_tokens": 4096,

  2081.                     "model_type": "chat",

  2082.                     "is_tools": true

  2083.                 },

  2084.                 {

  2085.                     "llm_name": "Qwen2-7B-Instruct",

  2086.                     "tags": "LLM,CHAT,32k",

  2087.                     "max_tokens": 32768,

  2088.                     "model_type": "chat",

  2089.                     "is_tools": true

  2090.                 },

  2091.                 {

  2092.                     "llm_name": "deepseek-v2-lite-chat",

  2093.                     "tags": "LLM,CHAT,2k",

  2094.                     "max_tokens": 2048,

  2095.                     "model_type": "chat",

  2096.                     "is_tools": true

  2097.                 },

  2098.                 {

  2099.                     "llm_name": "Qwen2-7B",

  2100.                     "tags": "LLM,CHAT,128k",

  2101.                     "max_tokens": 131072,

  2102.                     "model_type": "chat"

  2103.                 },

  2104.                 {

  2105.                     "llm_name": "chatglm3-6b",

  2106.                     "tags": "LLM,CHAT,8k",

  2107.                     "max_tokens": 8192,

  2108.                     "model_type": "chat"

  2109.                 },

  2110.                 {

  2111.                     "llm_name": "Meta-Llama-3-70B-Instruct-GPTQ-Int4",

  2112.                     "tags": "LLM,CHAT,1k",

  2113.                     "max_tokens": 1024,

  2114.                     "model_type": "chat"

  2115.                 },

  2116.                 {

  2117.                     "llm_name": "Meta-Llama-3-8B-Instruct",

  2118.                     "tags": "LLM,CHAT,8k",

  2119.                     "max_tokens": 8192,

  2120.                     "model_type": "chat"

  2121.                 },

  2122.                 {

  2123.                     "llm_name": "Mistral-7B-Instruct",

  2124.                     "tags": "LLM,CHAT,32k",

  2125.                     "max_tokens": 32768,

  2126.                     "model_type": "chat",

  2127.                     "is_tools": true

  2128.                 },

  2129.                 {

  2130.                     "llm_name": "MindChat-Qwen-7B-v2",

  2131.                     "tags": "LLM,CHAT,2k",

  2132.                     "max_tokens": 2048,

  2133.                     "model_type": "chat"

  2134.                 },

  2135.                 {

  2136.                     "llm_name": "phi-2",

  2137.                     "tags": "LLM,CHAT,2k",

  2138.                     "max_tokens": 2048,

  2139.                     "model_type": "chat"

  2140.                 },

  2141.                 {

  2142.                     "llm_name": "SOLAR-10_7B-Instruct",

  2143.                     "tags": "LLM,CHAT,4k",

  2144.                     "max_tokens": 4096,

  2145.                     "model_type": "chat"

  2146.                 },

  2147.                 {

  2148.                     "llm_name": "Mixtral-8x7B-Instruct-v0.1-GPTQ",

  2149.                     "tags": "LLM,CHAT,32k",

  2150.                     "max_tokens": 32768,

  2151.                     "model_type": "chat"

  2152.                 },

  2153.                 {

  2154.                     "llm_name": "Qwen1.5-7B",

  2155.                     "tags": "LLM,CHAT,32k",

  2156.                     "max_tokens": 32768,

  2157.                     "model_type": "chat"

  2158.                 },

  2159.                 {

  2160.                     "llm_name": "BAAI/bge-large-en-v1.5",

  2161.                     "tags": "TEXT EMBEDDING",

  2162.                     "max_tokens": 512,

  2163.                     "model_type": "embedding"

  2164.                 },

  2165.                 {

  2166.                     "llm_name": "BAAI/bge-large-zh-v1.5",

  2167.                     "tags": "TEXT EMBEDDING",

  2168.                     "max_tokens": 1024,

  2169.                     "model_type": "embedding"

  2170.                 },

  2171.                 {

  2172.                     "llm_name": "BAAI/bge-m3",

  2173.                     "tags": "TEXT EMBEDDING",

  2174.                     "max_tokens": 8192,

  2175.                     "model_type": "embedding"

  2176.                 }

  2177.             ]

  2178.         },

  2179.         {

  2180.             "name": "Upstage",

  2181.             "logo": "",

  2182.             "tags": "LLM,TEXT EMBEDDING",

  2183.             "status": "1",

  2184.             "llm": [

  2185.                 {

  2186.                     "llm_name": "solar-1-mini-chat",

  2187.                     "tags": "LLM,CHAT,32k",

  2188.                     "max_tokens": 32768,

  2189.                     "model_type": "chat"

  2190.                 },

  2191.                 {

  2192.                     "llm_name": "solar-1-mini-chat-ja",

  2193.                     "tags": "LLM,CHAT,32k",

  2194.                     "max_tokens": 32768,

  2195.                     "model_type": "chat"

  2196.                 },

  2197.                 {

  2198.                     "llm_name": "solar-embedding-1-large-query",

  2199.                     "tags": "TEXT EMBEDDING",

  2200.                     "max_tokens": 4000,

  2201.                     "model_type": "embedding"

  2202.                 },

  2203.                 {

  2204.                     "llm_name": "solar-embedding-1-large-passage",

  2205.                     "tags": "TEXT EMBEDDING",

  2206.                     "max_tokens": 4000,

  2207.                     "model_type": "embedding"

  2208.                 }

  2209.             ]

  2210.         },

  2211.         {

  2212.             "name": "novita.ai",

  2213.             "logo": "",

  2214.             "tags": "LLM,IMAGE2TEXT",

  2215.             "status": "1",

  2216.             "llm": [

  2217.                 {

  2218.                     "llm_name": "deepseek/deepseek-r1",

  2219.                     "tags": "LLM,CHAT,64k",

  2220.                     "max_tokens": 64000,

  2221.                     "model_type": "chat"

  2222.                 },

  2223.                 {

  2224.                     "llm_name": "deepseek/deepseek_v3",

  2225.                     "tags": "LLM,CHAT,64k",

  2226.                     "max_tokens": 64000,

  2227.                     "model_type": "chat"

  2228.                 },

  2229.                 {

  2230.                     "llm_name": "deepseek/deepseek-r1-distill-llama-70b",

  2231.                     "tags": "LLM,CHAT,64k",

  2232.                     "max_tokens": 64000,

  2233.                     "model_type": "chat"

  2234.                 },

  2235.                 {

  2236.                     "llm_name": "deepseek/deepseek-r1-distill-qwen-32b",

  2237.                     "tags": "LLM,CHAT,64k",

  2238.                     "max_tokens": 64000,

  2239.                     "model_type": "chat"

  2240.                 },

  2241.                 {

  2242.                     "llm_name": "deepseek/deepseek-r1-distill-qwen-14b",

  2243.                     "tags": "LLM,CHAT,64k",

  2244.                     "max_tokens": 64000,

  2245.                     "model_type": "chat"

  2246.                 },

  2247.                 {

  2248.                     "llm_name": "deepseek/deepseek-r1-distill-llama-8b",

  2249.                     "tags": "LLM,CHAT,32k",

  2250.                     "max_tokens": 32000,

  2251.                     "model_type": "chat"

  2252.                 },

  2253.                 {

  2254.                     "llm_name": "meta-llama/llama-3.3-70b-instruct",

  2255.                     "tags": "LLM,CHAT,128k",

  2256.                     "max_tokens": 131072,

  2257.                     "model_type": "chat",

  2258.                     "is_tools": true

  2259.                 },

  2260.                 {

  2261.                     "llm_name": "meta-llama/llama-3.2-11b-vision-instruct",

  2262.                     "tags": "LLM,CHAT,32k",

  2263.                     "max_tokens": 32768,

  2264.                     "model_type": "chat"

  2265.                 },

  2266.                 {

  2267.                     "llm_name": "meta-llama/llama-3.2-3b-instruct",

  2268.                     "tags": "LLM,CHAT,32k",

  2269.                     "max_tokens": 32768,

  2270.                     "model_type": "chat"

  2271.                 },

  2272.                 {

  2273.                     "llm_name": "meta-llama/llama-3.2-1b-instruct",

  2274.                     "tags": "LLM,CHAT,32k",

  2275.                     "max_tokens": 32768,

  2276.                     "model_type": "chat"

  2277.                 },

  2278.                 {

  2279.                     "llm_name": "meta-llama/llama-3.1-70b-instruct",

  2280.                     "tags": "LLM,CHAT,32k",

  2281.                     "max_tokens": 32768,

  2282.                     "model_type": "chat",

  2283.                     "is_tools": true

  2284.                 },

  2285.                 {

  2286.                     "llm_name": "meta-llama/llama-3.1-8b-instruct",

  2287.                     "tags": "LLM,CHAT,16k",

  2288.                     "max_tokens": 16384,

  2289.                     "model_type": "chat",

  2290.                     "is_tools": true

  2291.                 },

  2292.                 {

  2293.                     "llm_name": "meta-llama/llama-3.1-8b-instruct-bf16",

  2294.                     "tags": "LLM,CHAT,8k",

  2295.                     "max_tokens": 8192,

  2296.                     "model_type": "chat",

  2297.                     "is_tools": true

  2298.                 },

  2299.                 {

  2300.                     "llm_name": "meta-llama/llama-3-70b-instruct",

  2301.                     "tags": "LLM,CHAT,8k",

  2302.                     "max_tokens": 8192,

  2303.                     "model_type": "chat",

  2304.                     "is_tools": true

  2305.                 },

  2306.                 {

  2307.                     "llm_name": "meta-llama/llama-3-8b-instruct",

  2308.                     "tags": "LLM,CHAT,8k",

  2309.                     "max_tokens": 8192,

  2310.                     "model_type": "chat",

  2311.                     "is_tools": true

  2312.                 },

  2313.                 {

  2314.                     "llm_name": "qwen/qwen-2.5-72b-instruct",

  2315.                     "tags": "LLM,CHAT,32k",

  2316.                     "max_tokens": 32000,

  2317.                     "model_type": "chat",

  2318.                     "is_tools": true

  2319.                 },

  2320.                 {

  2321.                     "llm_name": "qwen/qwen-2-vl-72b-instruct",

  2322.                     "tags": "LLM,IMAGE2TEXT,32k",

  2323.                     "max_tokens": 32768,

  2324.                     "model_type": "image2text"

  2325.                 },

  2326.                 {

  2327.                     "llm_name": "qwen/qwen-2-7b-instruct",

  2328.                     "tags": "LLM,CHAT,32k",

  2329.                     "max_tokens": 32768,

  2330.                     "model_type": "chat"

  2331.                 },

  2332.                 {

  2333.                     "llm_name": "mistralai/mistral-nemo",

  2334.                     "tags": "LLM,CHAT,128k",

  2335.                     "max_tokens": 131072,

  2336.                     "model_type": "chat"

  2337.                 },

  2338.                 {

  2339.                     "llm_name": "mistralai/mistral-7b-instruct",

  2340.                     "tags": "LLM,CHAT,32k",

  2341.                     "max_tokens": 32768,

  2342.                     "model_type": "chat"

  2343.                 },

  2344.                 {

  2345.                     "llm_name": "Sao10K/L3-8B-Stheno-v3.2",

  2346.                     "tags": "LLM,CHAT,8k",

  2347.                     "max_tokens": 8192,

  2348.                     "model_type": "chat"

  2349.                 },

  2350.                 {

  2351.                     "llm_name": "sao10k/l3-70b-euryale-v2.1",

  2352.                     "tags": "LLM,CHAT,8k",

  2353.                     "max_tokens": 8192,

  2354.                     "model_type": "chat"

  2355.                 },

  2356.                 {

  2357.                     "llm_name": "sao10k/l3-8b-lunaris",

  2358.                     "tags": "LLM,CHAT,8k",

  2359.                     "max_tokens": 8192,

  2360.                     "model_type": "chat"

  2361.                 },

  2362.                 {

  2363.                     "llm_name": "sao10k/l31-70b-euryale-v2.2",

  2364.                     "tags": "LLM,CHAT,8k",

  2365.                     "max_tokens": 8192,

  2366.                     "model_type": "chat"

  2367.                 },

  2368.                 {

  2369.                     "llm_name": "nousresearch/hermes-2-pro-llama-3-8b",

  2370.                     "tags": "LLM,CHAT,8k",

  2371.                     "max_tokens": 8192,

  2372.                     "model_type": "chat"

  2373.                 },

  2374.                 {

  2375.                     "llm_name": "nousresearch/nous-hermes-llama2-13b",

  2376.                     "tags": "LLM,CHAT,4k",

  2377.                     "max_tokens": 4096,

  2378.                     "model_type": "chat"

  2379.                 },

  2380.                 {

  2381.                     "llm_name": "openchat/openchat-7b",

  2382.                     "tags": "LLM,CHAT,4k",

  2383.                     "max_tokens": 4096,

  2384.                     "model_type": "chat"

  2385.                 },

  2386.                 {

  2387.                     "llm_name": "gryphe/mythomax-l2-13b",

  2388.                     "tags": "LLM,CHAT,4k",

  2389.                     "max_tokens": 4096,

  2390.                     "model_type": "chat"

  2391.                 },

  2392.                 {

  2393.                     "llm_name": "microsoft/wizardlm-2-8x22b",

  2394.                     "tags": "LLM,CHAT,65k",

  2395.                     "max_tokens": 65535,

  2396.                     "model_type": "chat"

  2397.                 },

  2398.                 {

  2399.                     "llm_name": "google/gemma-2-9b-it",

  2400.                     "tags": "LLM,CHAT,8k",

  2401.                     "max_tokens": 8192,

  2402.                     "model_type": "chat"

  2403.                 },

  2404.                 {

  2405.                     "llm_name": "cognitivecomputations/dolphin-mixtral-8x22b",

  2406.                     "tags": "LLM,CHAT,16k",

  2407.                     "max_tokens": 16000,

  2408.                     "model_type": "chat"

  2409.                 },

  2410.                 {

  2411.                     "llm_name": "jondurbin/airoboros-l2-70b",

  2412.                     "tags": "LLM,CHAT,4k",

  2413.                     "max_tokens": 4096,

  2414.                     "model_type": "chat"

  2415.                 },

  2416.                 {

  2417.                     "llm_name": "teknium/openhermes-2.5-mistral-7b",

  2418.                     "tags": "LLM,CHAT,4k",

  2419.                     "max_tokens": 4096,

  2420.                     "model_type": "chat"

  2421.                 },

  2422.                 {

  2423.                     "llm_name": "sophosympatheia/midnight-rose-70b",

  2424.                     "tags": "LLM,CHAT,4k",

  2425.                     "max_tokens": 4096,

  2426.                     "model_type": "chat"

  2427.                 }

  2428.             ]

  2429.         },

  2430.         {

  2431.             "name": "SILICONFLOW",

  2432.             "logo": "",

  2433.             "tags": "LLM,TEXT EMBEDDING,TEXT RE-RANK",

  2434.             "status": "1",

  2435.             "llm": [

  2436.                 {

  2437.                     "llm_name": "deepseek-ai/DeepSeek-R1",

  2438.                     "tags": "LLM,CHAT,64k",

  2439.                     "max_tokens": 64000,

  2440.                     "model_type": "chat",

  2441.                     "is_tools": true

  2442.                 },

  2443.                 {

  2444.                     "llm_name": "Pro/deepseek-ai/DeepSeek-R1",

  2445.                     "tags": "LLM,CHAT,64k",

  2446.                     "max_tokens": 64000,

  2447.                     "model_type": "chat",

  2448.                     "is_tools": true

  2449.                 },

  2450.                 {

  2451.                     "llm_name": "Pro/deepseek-ai/DeepSeek-V3",

  2452.                     "tags": "LLM,CHAT,64k",

  2453.                     "max_tokens": 64000,

  2454.                     "model_type": "chat",

  2455.                     "is_tools": true

  2456.                 },

  2457.                 {

  2458.                     "llm_name": "deepseek-ai/DeepSeek-V3",

  2459.                     "tags": "LLM,CHAT,64k",

  2460.                     "max_tokens": 64000,

  2461.                     "model_type": "chat",

  2462.                     "is_tools": true

  2463.                 },

  2464.                 {

  2465.                     "llm_name": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B",

  2466.                     "tags": "LLM,CHAT,32k",

  2467.                     "max_tokens": 32768,

  2468.                     "model_type": "chat"

  2469.                 },

  2470.                 {

  2471.                     "llm_name": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",

  2472.                     "tags": "LLM,CHAT,32k",

  2473.                     "max_tokens": 32768,

  2474.                     "model_type": "chat"

  2475.                 },

  2476.                 {

  2477.                     "llm_name": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",

  2478.                     "tags": "LLM,CHAT,32k",

  2479.                     "max_tokens": 32768,

  2480.                     "model_type": "chat"

  2481.                 },

  2482.                 {

  2483.                     "llm_name": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",

  2484.                     "tags": "LLM,CHAT,32k",

  2485.                     "max_tokens": 32768,

  2486.                     "model_type": "chat"

  2487.                 },

  2488.                 {

  2489.                     "llm_name": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",

  2490.                     "tags": "LLM,CHAT,32k",

  2491.                     "max_tokens": 32768,

  2492.                     "model_type": "chat"

  2493.                 },

  2494.                 {

  2495.                     "llm_name": "deepseek-ai/DeepSeek-R1-Distill-Llama-8B",

  2496.                     "tags": "LLM,CHAT,32k",

  2497.                     "max_tokens": 32768,

  2498.                     "model_type": "chat"

  2499.                 },

  2500.                 {

  2501.                     "llm_name": "Pro/deepseek-ai/DeepSeek-R1-Distill-Llama-8B",

  2502.                     "tags": "LLM,CHAT,32k",

  2503.                     "max_tokens": 32768,

  2504.                     "model_type": "chat"

  2505.                 },

  2506.                 {

  2507.                     "llm_name": "Pro/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",

  2508.                     "tags": "LLM,CHAT,32k",

  2509.                     "max_tokens": 32768,

  2510.                     "model_type": "chat"

  2511.                 },

  2512.                 {

  2513.                     "llm_name": "Pro/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",

  2514.                     "tags": "LLM,CHAT,32k",

  2515.                     "max_tokens": 32768,

  2516.                     "model_type": "chat"

  2517.                 },

  2518.                 {

  2519.                     "llm_name": "Qwen/QwQ-32B-Preview",

  2520.                     "tags": "LLM,CHAT,32k",

  2521.                     "max_tokens": 32768,

  2522.                     "model_type": "chat"

  2523.                 },

  2524.                 {

  2525.                     "llm_name": "Qwen/QwQ-32B",

  2526.                     "tags": "LLM,CHAT,32k",

  2527.                     "max_tokens": 32768,

  2528.                     "model_type": "chat"

  2529.                 },

  2530.                 {

  2531.                     "llm_name": "Qwen/Qwen2.5-Coder-32B-Instruct",

  2532.                     "tags": "LLM,CHAT,32k",

  2533.                     "max_tokens": 32768,

  2534.                     "model_type": "chat"

  2535.                 },

  2536.                 {

  2537.                     "llm_name": "AIDC-AI/Marco-o1",

  2538.                     "tags": "LLM,CHAT,32k",

  2539.                     "max_tokens": 32768,

  2540.                     "model_type": "chat"

  2541.                 },

  2542.                 {

  2543.                     "llm_name": "deepseek-ai/deepseek-vl2",

  2544.                     "tags": "LLM,CHAT,4k",

  2545.                     "max_tokens": 4096,

  2546.                     "model_type": "chat"

  2547.                 },

  2548.                 {

  2549.                     "llm_name": "deepseek-ai/Janus-Pro-7B",

  2550.                     "tags": "LLM,IMAGE2TEXT,32k",

  2551.                     "max_tokens": 32768,

  2552.                     "model_type": "image2text"

  2553.                 },

  2554.                 {

  2555.                     "llm_name": "Qwen/QVQ-72B-Preview",

  2556.                     "tags": "LLM,IMAGE2TEXT,32k",

  2557.                     "max_tokens": 32768,

  2558.                     "model_type": "image2text"

  2559.                 },

  2560.                 {

  2561.                     "llm_name": "FunAudioLLM/CosyVoice2-0.5B",

  2562.                     "tags": "LLM,TTS,32k",

  2563.                     "max_tokens": 32768,

  2564.                     "model_type": "tts"

  2565.                 },

  2566.                 {

  2567.                     "llm_name": "fishaudio/fish-speech-1.5",

  2568.                     "tags": "LLM,TTS,32k",

  2569.                     "max_tokens": 32768,

  2570.                     "model_type": "tts"

  2571.                 },

  2572.                 {

  2573.                     "llm_name": "meta-llama/Llama-3.3-70B-Instruct",

  2574.                     "tags": "LLM,CHAT,32k",

  2575.                     "max_tokens": 32768,

  2576.                     "model_type": "chat",

  2577.                     "is_tools": true

  2578.                 },

  2579.                 {

  2580.                     "llm_name": "Qwen/Qwen2-7B-Instruct",

  2581.                     "tags": "LLM,CHAT,32k",

  2582.                     "max_tokens": 32768,

  2583.                     "model_type": "chat"

  2584.                 },

  2585.                 {

  2586.                     "llm_name": "Qwen/Qwen2-1.5B-Instruct",

  2587.                     "tags": "LLM,CHAT,32k",

  2588.                     "max_tokens": 32768,

  2589.                     "model_type": "chat"

  2590.                 },

  2591.                 {

  2592.                     "llm_name": "Qwen/Qwen1.5-7B-Chat",

  2593.                     "tags": "LLM,CHAT,32k",

  2594.                     "max_tokens": 32768,

  2595.                     "model_type": "chat"

  2596.                 },

  2597.                 {

  2598.                     "llm_name": "THUDM/glm-4-9b-chat",

  2599.                     "tags": "LLM,CHAT,32k",

  2600.                     "max_tokens": 32768,

  2601.                     "model_type": "chat"

  2602.                 },

  2603.                 {

  2604.                     "llm_name": "THUDM/chatglm3-6b",

  2605.                     "tags": "LLM,CHAT,32k",

  2606.                     "max_tokens": 32768,

  2607.                     "model_type": "chat"

  2608.                 },

  2609.                 {

  2610.                     "llm_name": "01-ai/Yi-1.5-9B-Chat-16K",

  2611.                     "tags": "LLM,CHAT,16k",

  2612.                     "max_tokens": 16384,

  2613.                     "model_type": "chat"

  2614.                 },

  2615.                 {

  2616.                     "llm_name": "01-ai/Yi-1.5-6B-Chat",

  2617.                     "tags": "LLM,CHAT,4k",

  2618.                     "max_tokens": 4096,

  2619.                     "model_type": "chat"

  2620.                 },

  2621.                 {

  2622.                     "llm_name": "google/gemma-2-9b-it",

  2623.                     "tags": "LLM,CHAT,8k",

  2624.                     "max_tokens": 8192,

  2625.                     "model_type": "chat",

  2626.                     "is_tools": true

  2627.                 },

  2628.                 {

  2629.                     "llm_name": "internlm/internlm2_5-7b-chat",

  2630.                     "tags": "LLM,CHAT,32k",

  2631.                     "max_tokens": 32768,

  2632.                     "model_type": "chat"

  2633.                 },

  2634.                 {

  2635.                     "llm_name": "meta-llama/Meta-Llama-3.1-8B-Instruct",

  2636.                     "tags": "LLM,CHAT,8k",

  2637.                     "max_tokens": 8192,

  2638.                     "model_type": "chat"

  2639.                 },

  2640.                 {

  2641.                     "llm_name": "Pro/Qwen/Qwen2-7B-Instruct",

  2642.                     "tags": "LLM,CHAT,32k",

  2643.                     "max_tokens": 32768,

  2644.                     "model_type": "chat"

  2645.                 },

  2646.                 {

  2647.                     "llm_name": "Pro/Qwen/Qwen2-1.5B-Instruct",

  2648.                     "tags": "LLM,CHAT,32k",

  2649.                     "max_tokens": 32768,

  2650.                     "model_type": "chat"

  2651.                 },

  2652.                 {

  2653.                     "llm_name": "Pro/THUDM/glm-4-9b-chat",

  2654.                     "tags": "LLM,CHAT,32k",

  2655.                     "max_tokens": 32768,

  2656.                     "model_type": "chat"

  2657.                 },

  2658.                 {

  2659.                     "llm_name": "Pro/01-ai/Yi-1.5-6B-Chat",

  2660.                     "tags": "LLM,CHAT,4k",

  2661.                     "max_tokens": 4096,

  2662.                     "model_type": "chat"

  2663.                 },

  2664.                 {

  2665.                     "llm_name": "Pro/google/gemma-2-9b-it",

  2666.                     "tags": "LLM,CHAT,8k",

  2667.                     "max_tokens": 8192,

  2668.                     "model_type": "chat",

  2669.                     "is_tools": true

  2670.                 },

  2671.                 {

  2672.                     "llm_name": "Pro/meta-llama/Meta-Llama-3.1-8B-Instruct",

  2673.                     "tags": "LLM,CHAT,32k",

  2674.                     "max_tokens": 32768,

  2675.                     "model_type": "chat"

  2676.                 },

  2677.                 {

  2678.                     "llm_name": "Pro/mistralai/Mistral-7B-Instruct-v0.2",

  2679.                     "tags": "LLM,CHAT,32k",

  2680.                     "max_tokens": 32768,

  2681.                     "model_type": "chat"

  2682.                 },

  2683.                 {

  2684.                     "llm_name": "Qwen/Qwen2-Math-72B-Instruct",

  2685.                     "tags": "LLM,CHAT,32k",

  2686.                     "max_tokens": 32768,

  2687.                     "model_type": "chat"

  2688.                 },

  2689.                 {

  2690.                     "llm_name": "Qwen/Qwen1.5-32B-Chat",

  2691.                     "tags": "LLM,CHAT,32k",

  2692.                     "max_tokens": 32768,

  2693.                     "model_type": "chat"

  2694.                 },

  2695.                 {

  2696.                     "llm_name": "Qwen/Qwen2.5-72B-Instruct-128K",

  2697.                     "tags": "LLM,CHAT,128k",

  2698.                     "max_tokens": 131072,

  2699.                     "model_type": "chat"

  2700.                 },

  2701.                 {

  2702.                     "llm_name": "Qwen/Qwen2.5-72B-Instruct",

  2703.                     "tags": "LLM,CHAT,32k",

  2704.                     "max_tokens": 32768,

  2705.                     "model_type": "chat"

  2706.                 },

  2707.                 {

  2708.                     "llm_name": "Qwen/Qwen2.5-7B-Instruct",

  2709.                     "tags": "LLM,CHAT,32k",

  2710.                     "max_tokens": 32768,

  2711.                     "model_type": "chat"

  2712.                 },

  2713.                 {

  2714.                     "llm_name": "Qwen/Qwen2.5-14B-Instruct",

  2715.                     "tags": "LLM,CHAT,32k",

  2716.                     "max_tokens": 32768,

  2717.                     "model_type": "chat"

  2718.                 },

  2719.                 {

  2720.                     "llm_name": "Qwen/Qwen2.5-32B-Instruct",

  2721.                     "tags": "LLM,CHAT,32k",

  2722.                     "max_tokens": 32768,

  2723.                     "model_type": "chat"

  2724.                 },

  2725.                 {

  2726.                     "llm_name": "Qwen/Qwen2.5-Coder-7B-Instruct",

  2727.                     "tags": "LLM,CHAT,FIM,Coder,32k",

  2728.                     "max_tokens": 32768,

  2729.                     "model_type": "chat"

  2730.                 },

  2731.                 {

  2732.                     "llm_name": "Pro/Qwen/Qwen2.5-7B-Instruct",

  2733.                     "tags": "LLM,CHAT,32k",

  2734.                     "max_tokens": 32768,

  2735.                     "model_type": "chat"

  2736.                 },

  2737.                 {

  2738.                     "llm_name": "Pro/Qwen/Qwen2.5-Coder-7B-Instruct",

  2739.                     "tags": "LLM,CHAT,FIM,Coder,32k",

  2740.                     "max_tokens": 32768,

  2741.                     "model_type": "chat"

  2742.                 },

  2743.                 {

  2744.                     "llm_name": "01-ai/Yi-1.5-34B-Chat-16K",

  2745.                     "tags": "LLM,CHAT,16k",

  2746.                     "max_tokens": 16384,

  2747.                     "model_type": "chat"

  2748.                 },

  2749.                 {

  2750.                     "llm_name": "internlm/internlm2_5-20b-chat",

  2751.                     "tags": "LLM,CHAT,32k",

  2752.                     "max_tokens": 32768,

  2753.                     "model_type": "chat"

  2754.                 },

  2755.                 {

  2756.                     "llm_name": "meta-llama/Meta-Llama-3.1-405B-Instruct",

  2757.                     "tags": "LLM,CHAT,32k",

  2758.                     "max_tokens": 32768,

  2759.                     "model_type": "chat"

  2760.                 },

  2761.                 {

  2762.                     "llm_name": "meta-llama/Meta-Llama-3.1-70B-Instruct",

  2763.                     "tags": "LLM,CHAT,32k",

  2764.                     "max_tokens": 32768,

  2765.                     "model_type": "chat",

  2766.                     "is_tools": true

  2767.                 },

  2768.                 {

  2769.                     "llm_name": "google/gemma-2-27b-it",

  2770.                     "tags": "LLM,CHAT,8k",

  2771.                     "max_tokens": 8192,

  2772.                     "model_type": "chat"

  2773.                 },

  2774.                 {

  2775.                     "llm_name": "BAAI/bge-m3",

  2776.                     "tags": "TEXT EMBEDDING,8K",

  2777.                     "max_tokens": 8192,

  2778.                     "model_type": "embedding"

  2779.                 },

  2780.                 {

  2781.                     "llm_name": "BAAI/bge-large-en-v1.5",

  2782.                     "tags": "TEXT EMBEDDING,512",

  2783.                     "max_tokens": 512,

  2784.                     "model_type": "embedding"

  2785.                 },

  2786.                 {

  2787.                     "llm_name": "BAAI/bge-large-zh-v1.5",

  2788.                     "tags": "TEXT EMBEDDING,512",

  2789.                     "max_tokens": 512,

  2790.                     "model_type": "embedding"

  2791.                 },

  2792.                 {

  2793.                     "llm_name": "netease-youdao/bce-embedding-base_v1",

  2794.                     "tags": "TEXT EMBEDDING,512",

  2795.                     "max_tokens": 512,

  2796.                     "model_type": "embedding"

  2797.                 },

  2798.                 {

  2799.                     "llm_name": "BAAI/bge-reranker-v2-m3",

  2800.                     "tags": "RE-RANK, 512",

  2801.                     "max_tokens": 1024,

  2802.                     "model_type": "rerank"

  2803.                 },

  2804.                 {

  2805.                     "llm_name": "netease-youdao/bce-reranker-base_v1",

  2806.                     "tags": "RE-RANK, 512",

  2807.                     "max_tokens": 1024,

  2808.                     "model_type": "rerank"

  2809.                 }

  2810.             ]

  2811.         },

  2812.         {

  2813.             "name": "PPIO",

  2814.             "logo": "",

  2815.             "tags": "LLM",

  2816.             "status": "1",

  2817.             "llm": [

  2818.                 {

  2819.                     "llm_name": "deepseek/deepseek-r1/community",

  2820.                     "tags": "LLM,CHAT,64k",

  2821.                     "max_tokens": 64000,

  2822.                     "model_type": "chat"

  2823.                 },

  2824.                 {

  2825.                     "llm_name": "deepseek/deepseek-v3/community",

  2826.                     "tags": "LLM,CHAT,64k",

  2827.                     "max_tokens": 64000,

  2828.                     "model_type": "chat"

  2829.                 },

  2830.                 {

  2831.                     "llm_name": "deepseek/deepseek-r1",

  2832.                     "tags": "LLM,CHAT,64k",

  2833.                     "max_tokens": 64000,

  2834.                     "model_type": "chat"

  2835.                 },

  2836.                 {

  2837.                     "llm_name": "deepseek/deepseek-v3",

  2838.                     "tags": "LLM,CHAT,64k",

  2839.                     "max_tokens": 64000,

  2840.                     "model_type": "chat"

  2841.                 },

  2842.                 {

  2843.                     "llm_name": "deepseek/deepseek-r1-distill-llama-70b",

  2844.                     "tags": "LLM,CHAT,32k",

  2845.                     "max_tokens": 32000,

  2846.                     "model_type": "chat"

  2847.                 },

  2848.                 {

  2849.                     "llm_name": "deepseek/deepseek-r1-distill-qwen-32b",

  2850.                     "tags": "LLM,CHAT,64k",

  2851.                     "max_tokens": 64000,

  2852.                     "model_type": "chat"

  2853.                 },

  2854.                 {

  2855.                     "llm_name": "deepseek/deepseek-r1-distill-qwen-14b",

  2856.                     "tags": "LLM,CHAT,64k",

  2857.                     "max_tokens": 64000,

  2858.                     "model_type": "chat"

  2859.                 },

  2860.                 {

  2861.                     "llm_name": "deepseek/deepseek-r1-distill-llama-8b",

  2862.                     "tags": "LLM,CHAT,32k",

  2863.                     "max_tokens": 32000,

  2864.                     "model_type": "chat"

  2865.                 },

  2866.                 {

  2867.                     "llm_name": "qwen/qwen-2.5-72b-instruct",

  2868.                     "tags": "LLM,CHAT,32k",

  2869.                     "max_tokens": 32768,

  2870.                     "model_type": "chat",

  2871.                     "is_tools": true

  2872.                 },

  2873.                 {

  2874.                     "llm_name": "qwen/qwen-2-vl-72b-instruct",

  2875.                     "tags": "LLM,CHAT,32k",

  2876.                     "max_tokens": 32768,

  2877.                     "model_type": "chat"

  2878.                 },

  2879.                 {

  2880.                     "llm_name": "meta-llama/llama-3.2-3b-instruct",

  2881.                     "tags": "LLM,CHAT,32k",

  2882.                     "max_tokens": 32768,

  2883.                     "model_type": "chat"

  2884.                 },

  2885.                 {

  2886.                     "llm_name": "qwen/qwen2.5-32b-instruct",

  2887.                     "tags": "LLM,CHAT,32k",

  2888.                     "max_tokens": 32000,

  2889.                     "model_type": "chat"

  2890.                 },

  2891.                 {

  2892.                     "llm_name": "baichuan/baichuan2-13b-chat",

  2893.                     "tags": "LLM,CHAT,14k",

  2894.                     "max_tokens": 14336,

  2895.                     "model_type": "chat"

  2896.                 },

  2897.                 {

  2898.                     "llm_name": "meta-llama/llama-3.1-70b-instruct",

  2899.                     "tags": "LLM,CHAT,32k",

  2900.                     "max_tokens": 32768,

  2901.                     "model_type": "chat",

  2902.                     "is_tools": true

  2903.                 },

  2904.                 {

  2905.                     "llm_name": "meta-llama/llama-3.1-8b-instruct",

  2906.                     "tags": "LLM,CHAT,32k",

  2907.                     "max_tokens": 32768,

  2908.                     "model_type": "chat",

  2909.                     "is_tools": true

  2910.                 },

  2911.                 {

  2912.                     "llm_name": "01-ai/yi-1.5-34b-chat",

  2913.                     "tags": "LLM,CHAT,16k",

  2914.                     "max_tokens": 16384,

  2915.                     "model_type": "chat"

  2916.                 },

  2917.                 {

  2918.                     "llm_name": "01-ai/yi-1.5-9b-chat",

  2919.                     "tags": "LLM,CHAT,16k",

  2920.                     "max_tokens": 16384,

  2921.                     "model_type": "chat"

  2922.                 },

  2923.                 {

  2924.                     "llm_name": "thudm/glm-4-9b-chat",

  2925.                     "tags": "LLM,CHAT,32k",

  2926.                     "max_tokens": 32768,

  2927.                     "model_type": "chat"

  2928.                 },

  2929.                 {

  2930.                     "llm_name": "qwen/qwen-2-7b-instruct",

  2931.                     "tags": "LLM,CHAT,32k",

  2932.                     "max_tokens": 32768,

  2933.                     "model_type": "chat"

  2934.                 }

  2935.             ]

  2936.         },

  2937.         {

  2938.             "name": "01.AI",

  2939.             "logo": "",

  2940.             "tags": "LLM,IMAGE2TEXT",

  2941.             "status": "1",

  2942.             "llm": [

  2943.                 {

  2944.                     "llm_name": "yi-lightning",

  2945.                     "tags": "LLM,CHAT,16k",

  2946.                     "max_tokens": 16384,

  2947.                     "model_type": "chat"

  2948.                 },

  2949.                 {

  2950.                     "llm_name": "yi-large",

  2951.                     "tags": "LLM,CHAT,32k",

  2952.                     "max_tokens": 32768,

  2953.                     "model_type": "chat"

  2954.                 },

  2955.                 {

  2956.                     "llm_name": "yi-medium",

  2957.                     "tags": "LLM,CHAT,16k",

  2958.                     "max_tokens": 16384,

  2959.                     "model_type": "chat"

  2960.                 },

  2961.                 {

  2962.                     "llm_name": "yi-medium-200k",

  2963.                     "tags": "LLM,CHAT,200k",

  2964.                     "max_tokens": 204800,

  2965.                     "model_type": "chat"

  2966.                 },

  2967.                 {

  2968.                     "llm_name": "yi-spark",

  2969.                     "tags": "LLM,CHAT,16k",

  2970.                     "max_tokens": 16384,

  2971.                     "model_type": "chat"

  2972.                 },

  2973.                 {

  2974.                     "llm_name": "yi-large-rag",

  2975.                     "tags": "LLM,CHAT,16k",

  2976.                     "max_tokens": 16384,

  2977.                     "model_type": "chat"

  2978.                 },

  2979.                 {

  2980.                     "llm_name": "yi-large-fc",

  2981.                     "tags": "LLM,CHAT,32k",

  2982.                     "max_tokens": 32768,

  2983.                     "model_type": "chat",

  2984.                     "is_tools": true

  2985.                 },

  2986.                 {

  2987.                     "llm_name": "yi-large-turbo",

  2988.                     "tags": "LLM,CHAT,16k",

  2989.                     "max_tokens": 16384,

  2990.                     "model_type": "chat"

  2991.                 },

  2992.                 {

  2993.                     "llm_name": "yi-large-preview",

  2994.                     "tags": "LLM,CHAT,16k",

  2995.                     "max_tokens": 16384,

  2996.                     "model_type": "chat"

  2997.                 },

  2998.                 {

  2999.                     "llm_name": "yi-vision",

  3000.                     "tags": "LLM,CHAT,IMAGE2TEXT,16k",

  3001.                     "max_tokens": 16384,

  3002.                     "model_type": "image2text"

  3003.                 }

  3004.             ]

  3005.         },

  3006.         {

  3007.             "name": "Replicate",

  3008.             "logo": "",

  3009.             "tags": "LLM,TEXT EMBEDDING",

  3010.             "status": "1",

  3011.             "llm": []

  3012.         },

  3013.         {

  3014.             "name": "Tencent Hunyuan",

  3015.             "logo": "",

  3016.             "tags": "LLM,IMAGE2TEXT",

  3017.             "status": "1",

  3018.             "llm": [

  3019.                 {

  3020.                     "llm_name": "hunyuan-pro",

  3021.                     "tags": "LLM,CHAT,32k",

  3022.                     "max_tokens": 32768,

  3023.                     "model_type": "chat",

  3024.                     "is_tools": true

  3025.                 },

  3026.                 {

  3027.                     "llm_name": "hunyuan-standard",

  3028.                     "tags": "LLM,CHAT,32k",

  3029.                     "max_tokens": 32768,

  3030.                     "model_type": "chat"

  3031.                 },

  3032.                 {

  3033.                     "llm_name": "hunyuan-standard-256K",

  3034.                     "tags": "LLM,CHAT,256k",

  3035.                     "max_tokens": 262144,

  3036.                     "model_type": "chat"

  3037.                 },

  3038.                 {

  3039.                     "llm_name": "hunyuan-lite",

  3040.                     "tags": "LLM,CHAT,256k",

  3041.                     "max_tokens": 262144,

  3042.                     "model_type": "chat"

  3043.                 },

  3044.                 {

  3045.                     "llm_name": "hunyuan-vision",

  3046.                     "tags": "LLM,IMAGE2TEXT,8k",

  3047.                     "max_tokens": 8192,

  3048.                     "model_type": "image2text"

  3049.                 }

  3050.             ]

  3051.         },

  3052.         {

  3053.             "name": "XunFei Spark",

  3054.             "logo": "",

  3055.             "tags": "LLM,TTS",

  3056.             "status": "1",

  3057.             "llm": []

  3058.         },

  3059.         {

  3060.             "name": "BaiduYiyan",

  3061.             "logo": "",

  3062.             "tags": "LLM",

  3063.             "status": "1",

  3064.             "llm": []

  3065.         },

  3066.         {

  3067.             "name": "Fish Audio",

  3068.             "logo": "",

  3069.             "tags": "TTS",

  3070.             "status": "1",

  3071.             "llm": []

  3072.         },

  3073.         {

  3074.             "name": "Tencent Cloud",

  3075.             "logo": "",

  3076.             "tags": "SPEECH2TEXT",

  3077.             "status": "1",

  3078.             "llm": []

  3079.         },

  3080.         {

  3081.             "name": "Anthropic",

  3082.             "logo": "",

  3083.             "tags": "LLM",

  3084.             "status": "1",

  3085.             "llm": [

  3086.                 {

  3087.                     "llm_name": "claude-3-7-sonnet-20250219",

  3088.                     "tags": "LLM,IMAGE2TEXT,200k",

  3089.                     "max_tokens": 204800,

  3090.                     "model_type": "image2text",

  3091.                     "is_tools": true

  3092.                 },

  3093.                 {

  3094.                     "llm_name": "claude-3-5-sonnet-20241022",

  3095.                     "tags": "LLM,IMAGE2TEXT,200k",

  3096.                     "max_tokens": 204800,

  3097.                     "model_type": "chat",

  3098.                     "is_tools": true

  3099.                 },

  3100.                 {

  3101.                     "llm_name": "claude-3-opus-20240229",

  3102.                     "tags": "LLM,IMAGE2TEXT,200k",

  3103.                     "max_tokens": 204800,

  3104.                     "model_type": "chat",

  3105.                     "is_tools": true

  3106.                 },

  3107.                 {

  3108.                     "llm_name": "claude-3-haiku-20240307",

  3109.                     "tags": "LLM,IMAGE2TEXT,200k",

  3110.                     "max_tokens": 204800,

  3111.                     "model_type": "image2text",

  3112.                     "is_tools": true

  3113.                 },

  3114.                 {

  3115.                     "llm_name": "claude-2.1",

  3116.                     "tags": "LLM,CHAT,200k",

  3117.                     "max_tokens": 204800,

  3118.                     "model_type": "chat"

  3119.                 },

  3120.                 {

  3121.                     "llm_name": "claude-2.0",

  3122.                     "tags": "LLM,CHAT,100k",

  3123.                     "max_tokens": 102400,

  3124.                     "model_type": "chat"

  3125.                 }

  3126.             ]

  3127.         },

  3128.         {

  3129.             "name": "Voyage AI",

  3130.             "logo": "",

  3131.             "tags": "TEXT EMBEDDING, TEXT RE-RANK",

  3132.             "status": "1",

  3133.             "llm": [

  3134.                 {

  3135.                     "llm_name": "voyage-large-2-instruct",

  3136.                     "tags": "TEXT EMBEDDING,16000",

  3137.                     "max_tokens": 16000,

  3138.                     "model_type": "embedding"

  3139.                 },

  3140.                 {

  3141.                     "llm_name": "voyage-finance-2",

  3142.                     "tags": "TEXT EMBEDDING,32000",

  3143.                     "max_tokens": 32000,

  3144.                     "model_type": "embedding"

  3145.                 },

  3146.                 {

  3147.                     "llm_name": "voyage-multilingual-2",

  3148.                     "tags": "TEXT EMBEDDING,32000",

  3149.                     "max_tokens": 32000,

  3150.                     "model_type": "embedding"

  3151.                 },

  3152.                 {

  3153.                     "llm_name": "voyage-law-2",

  3154.                     "tags": "TEXT EMBEDDING,16000",

  3155.                     "max_tokens": 16000,

  3156.                     "model_type": "embedding"

  3157.                 },

  3158.                 {

  3159.                     "llm_name": "voyage-code-2",

  3160.                     "tags": "TEXT EMBEDDING,16000",

  3161.                     "max_tokens": 16000,

  3162.                     "model_type": "embedding"

  3163.                 },

  3164.                 {

  3165.                     "llm_name": "voyage-large-2",

  3166.                     "tags": "TEXT EMBEDDING,16000",

  3167.                     "max_tokens": 16000,

  3168.                     "model_type": "embedding"

  3169.                 },

  3170.                 {

  3171.                     "llm_name": "voyage-2",

  3172.                     "tags": "TEXT EMBEDDING,4000",

  3173.                     "max_tokens": 4000,

  3174.                     "model_type": "embedding"

  3175.                 },

  3176.                 {

  3177.                     "llm_name": "voyage-3",

  3178.                     "tags": "TEXT EMBEDDING,32000",

  3179.                     "max_tokens": 32000,

  3180.                     "model_type": "embedding"

  3181.                 },

  3182.                 {

  3183.                     "llm_name": "voyage-3-lite",

  3184.                     "tags": "TEXT EMBEDDING,32000",

  3185.                     "max_tokens": 32000,

  3186.                     "model_type": "embedding"

  3187.                 },

  3188.                 {

  3189.                     "llm_name": "rerank-1",

  3190.                     "tags": "RE-RANK, 8000",

  3191.                     "max_tokens": 8000,

  3192.                     "model_type": "rerank"

  3193.                 },

  3194.                 {

  3195.                     "llm_name": "rerank-lite-1",

  3196.                     "tags": "RE-RANK, 4000",

  3197.                     "max_tokens": 4000,

  3198.                     "model_type": "rerank"

  3199.                 },

  3200.                 {

  3201.                     "llm_name": "rerank-2",

  3202.                     "tags": "RE-RANK, 16000",

  3203.                     "max_tokens": 16000,

  3204.                     "model_type": "rerank"

  3205.                 },

  3206.                 {

  3207.                     "llm_name": "rerank-2-lite",

  3208.                     "tags": "RE-RANK, 8000",

  3209.                     "max_tokens": 8000,

  3210.                     "model_type": "rerank"

  3211.                 }

  3212.             ]

  3213.         },

  3214.         {

  3215.             "name": "Google Cloud",

  3216.             "logo": "",

  3217.             "tags": "LLM",

  3218.             "status": "1",

  3219.             "llm": []

  3220.         },

  3221.         {

  3222.             "name": "HuggingFace",

  3223.             "logo": "",

  3224.             "tags": "TEXT EMBEDDING,TEXT RE-RANK",

  3225.             "status": "1",

  3226.             "llm": []

  3227.         },

  3228.         {

  3229.             "name": "GPUStack",

  3230.             "logo": "",

  3231.             "tags": "LLM,TEXT EMBEDDING,TTS,SPEECH2TEXT,TEXT RE-RANK",

  3232.             "status": "1",

  3233.             "llm": []

  3234.         }

  3235.     ]

  3236. }