madlad400-3b-mt
transformerssafetensorsgguft5text2text-generationtext-generation-inferencetranslationmultilingualenruesfrdeitptplnlvitrsvidrocszhhujathfifaukdaelnobgskkoarltcaslheetlvhisqmsazsrtahrkkismlmrteafglfilbemkeubnkamnbsuzurswyueneknkaagusicyeolahykytggamtmykmttsokupsparwlohadvfylbckbmggdamughtgrchmnsdjvmitkcebyibafoorxhsuklnysmsncozuigyopapsthawasoccvlustetgswsahbrrmsaboomsececnhilohiludmoslgtivectstyvkbdeeibaavkhatotnnsofjzzaakadaotqdzbuacfmlnchmgnkrcwahifyuasrnwarrombikpamsgluadykbpsyrltgmyvisokacbhoaykumquzapagnguvepckzaptyzhuibbctzotivksdgomminangnhebgpnzinnbnvzxxbcikvnewmpsaltmeubewfoniuabtmghmnwtvldovtlhhokwmrjmeocrhmbtempaceiummamgymmaicrsponubufipqucgvkjbtxapechkrcfshntzhmdfppkssgagcabkrisehibbtbzbruenqachcukkmbwokekqubtabbtskosrwocaktucbumcjkgilstqtsgquhmakarnbanjivsjayaptcytojtwuxalamurmchusniakjhbmguhmasacfdtpkswbzjdinznemadmsimagmknkglhuchqvimhdjksusmfesrmdyuctuguipauinbbimnigucjamwaljacbasgorskrnyunoasdagubnogcniteotdxsxnrkinrfrpalztajlrcccernjvnhvnnijdwrizzmsmbusktuchrmaztzjsuzknjbimgvlbqctcapisprklajmelqxrniqahkshphnesppkoikrjqufluzagrtscmqygofgbmmiqdjeawabjjqvzsjptllrajkjgbgzquycbkakbojifymeykscacbrxqupsyljaxffbertkstrpmrwadhsmtsrrffmqvcmtrannaanoenutgynkwixmmmsbdataset:allenai/MADLAD-400arxiv:2309.04662license:apache-2.0endpoints_compatibledeploy:azureregion:us
Context
512 tokens
Max Output
256 tokens
Released
11/27/2023
Providers
1
Overview
madlad400-3b-mt is a large language model developed by Google. It supports 512 tokens context and is available through 1 API provider(s).
Key Highlights
- Unknown / Not disclosed
Brand
Organization
Country: USA
View all models, pricing and details from Google.
Specifications
Basic Information
| Model | madlad400-3b-mt |
| Brand | |
| Version | 400 |
| Model Type | transformers |
| Status | stable |
| Released | 11/27/2023 |
| Popularity | 67839 |
Architecture
| Parameter Size | 2.9B |
| Architecture Type | t5 |
| Attention Mechanism | encoder-decoder-mha |
| Tokenizer | Unknown / Not disclosed |
| Vocabulary Size | Unknown / Not disclosed |
Context & I/O
| Context | 512 tokens |
| Max Output | 256 tokens |
| Modalities | Unknown / Not disclosed |
| Languages | multilingual,en,ru,es,fr,de,it,pt,pl,nl,vi,tr,sv,id,ro,cs,zh,hu,ja,th,fi,fa,uk,da,el,no,bg,sk,ko,ar,lt,ca,sl,he,et,lv,hi,sq,ms,az,sr,ta,hr,kk,is,ml,mr,te,af,gl,fil,be,mk,eu,bn,ka,mn,bs,uz,ur,sw,yue,ne,kn,kaa,gu,si,cy,eo,la,hy,ky,tg,ga,mt,my,km,tt,so,ku,ps,pa,rw,lo,ha,dv,fy,lb,ckb,mg,gd,am,ug,ht,grc,hmn,sd,jv,mi,tk,ceb,yi,ba,fo,or,xh,su,kl,ny,sm,sn,co,zu,ig,yo,pap,st,haw,as,oc,cv,lus,tet,gsw,sah,br,rm,sa,bo,om,se,ce,cnh,ilo,hil,udm,os,lg,ti,vec,ts,tyv,kbd,ee,iba,av,kha,to,tn,nso,fj,zza,ak,ada,otq,dz,bua,cfm,ln,chm,gn,krc,wa,hif,yua,srn,war,rom,bik,pam,sg,lu,ady,kbp,syr,ltg,myv,iso,kac,bho,ay,kum,qu,za,pag,ngu,ve,pck,zap,tyz,hui,bbc,tzo,tiv,ksd,gom,min,ang,nhe,bgp,nzi,nnb,nv,zxx,bci,kv,new,mps,alt,meu,bew,fon,iu,abt,mgh,mnw,tvl,dov,tlh,ho,kw,mrj,meo,crh,mbt,emp,ace,ium,mam,gym,mai,crs,pon,ubu,fip,quc,gv,kj,btx,ape,chk,rcf,shn,tzh,mdf,ppk,ss,gag,cab,kri,seh,ibb,tbz,bru,enq,ach,cuk,kmb,wo,kek,qub,tab,bts,kos,rwo,cak,tuc,bum,cjk,gil,stq,tsg,quh,mak,arn,ban,jiv,sja,yap,tcy,toj,twu,xal,amu,rmc,hus,nia,kjh,bm,guh,mas,acf,dtp,ksw,bzj,din,zne,mad,msi,mag,mkn,kg,lhu,ch,qvi,mh,djk,sus,mfe,srm,dyu,ctu,gui,pau,inb,bi,mni,guc,jam,wal,jac,bas,gor,skr,nyu,noa,sda,gub,nog,cni,teo,tdx,sxn,rki,nr,frp,alz,taj,lrc,cce,rn,jvn,hvn,nij,dwr,izz,msm,bus,ktu,chr,maz,tzj,suz,knj,bim,gvl,bqc,tca,pis,prk,laj,mel,qxr,niq,ahk,shp,hne,spp,koi,krj,quf,luz,agr,tsc,mqy,gof,gbm,miq,dje,awa,bjj,qvz,sjp,tll,raj,kjg,bgz,quy,cbk,akb,oj,ify,mey,ks,cac,brx,qup,syl,jax,ff,ber,tks,trp,mrw,adh,smt,srr,ffm,qvc,mtr,ann,kaa,aa,noe,nut,gyn,kwi,xmm,msb |
Capabilities
| Vision | No |
| Audio | No |
| Reasoning | No |
| Function Call | No |
| MCP | No |
| JSON Mode | No |
| Embedding | No |
Training Data
| Training Dataset | Unknown / Not disclosed |
| Estimated Data Size | Unknown / Not disclosed |
| Knowledge Cutoff | Unknown / Not disclosed |
Inference & Deployment
| API Access | Yes |
| VRAM Estimate | Unknown / Not disclosed |
| Quantization Support | Unknown / Not disclosed |
| Hardware Requirements | Unknown / Not disclosed |
Safety & Compliance
| Safety Evaluations | Unknown / Not disclosed |
| Content Policy | Unknown / Not disclosed |
| Region Restrictions | Unknown / Not disclosed |
License & Pricing
| License | apache-2.0 |
| Commercial Use | Unknown / Not disclosed |
| Open Source | Yes |
Provider & Pricing
| Provider | Input | Output | Cache | Batch | Website |
|---|---|---|---|---|---|
| $0.000/1M | $0.000/1M | - | - | Visit Website |
Price Changes
No recorded price changes.
Benchmarks
No benchmark data available.
Changelog
- Page created / data imported9/23/2026
- Last updated9/23/2026
Frequently Asked Questions
What is madlad400-3b-mt?
madlad400-3b-mt is a large language model developed by Google.
Who developed madlad400-3b-mt?
madlad400-3b-mt was developed by Google. You can learn more on the brand page or official website.
What is the context length of madlad400-3b-mt?
madlad400-3b-mt supports up to 512 tokens of context.
How much does madlad400-3b-mt API cost?
API pricing for madlad400-3b-mt starts at $0.000/1M per 1M input tokens and $0.000/1M per 1M output tokens. See the pricing table above for provider-specific rates.