Models
MODELHugging Face
5/5

google/madlad400-3b-mt

Dangme(ada)MTT5Encoder-Decoder
View Source

Model Info

Language
Dangme (ada)
Architecture
Encoder-Decoder
Institution
Google Research (Kudugunta, Sneha; Caswell, Isaac; Zhang, Biao; et al.)
Last Updated
11 May 2026

Intended Use Cases

Translation for 400+ languages

License & Access

SPDX identifierApache-2.0

Open — attribution required; commercial use allowed.

Provenance

Fetch Timestamp
11 May 2026
Submitter
Google Research (Kudugunta, Sneha; Caswell, Isaac; Zhang, Biao; et al.)

Full Record

20 of 25 fields stated

Every column the registry tracks. Values marked derivedwere filled by a rule or read from the source's text rather than stated in its metadata; the rule or the quoted sentence is shown under the value.

Registry columns (17/18)

iso code
ada
Model Name
google/madlad400-3b-mt
Where is it hosted
HuggingFace
Link
https://huggingface.co/google/madlad400-3b-mt
Year
2023
Creator/Author(s)
Google Research (Kudugunta, Sneha; Caswell, Isaac; Zhang, Biao; et al.)
Paper Reference
Kudugunta et al. (2023) — MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. arXiv:2309.04662
NLP Task
MT
Architecture
Encoder-Decoder
Base Model
T5
Fine-tuned?
No
License
Apache-2.0
Open Access
Open
Has Model Card
Yes
SOTA Tasks
Translation for 400+ languages
Verified By
Not stated
Date Indexed
2026-05-11
Comment
3B-parameter multilingual MT model covering 400+ languages including Dangme (ada). Tagged as ada on HuggingFace model hub. Also available: 7B (madlad400-7b-mt) …

Readiness (LRS) (3/7)

model id
google-madlad400-3b-mt-ada
Model Type
MT
Training Data Sources
MADLAD-400 multilingual web corpus (400+ languages incl. ada)
Benchmark Used
Not stated
Benchmark Score
Not stated
Benchmark Date
Not stated
Status
Not stated

Readiness Score Breakdown

5/5
Data Coverage96%
Model Availability100%
Benchmarks100%
Documentation80%
Recency100%

Representativeness

Gender Balance
Regional Distribution
Dialect Coverage
Inclusivity
Relations Explorer link

Other Copies

The same resource, also published at these locations. It is counted once.

Also Available In

This is the same multilingual corpus, sliced for other languages the platform indexes it under.

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