google/madlad400-3b-mt
translation model by google
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
MADLAD-400-3B-MT is a multilingual machine translation model based on the T5 architecture that was trained on 1 trillion tokens covering over 450 languages using publicly available data. It is competitive with models that are significantly larger. Disclaimer: Juarez Bochi, who was not involved in this research, converted the original weights and wrote the contents of this model card based on the original paper and Flan-T5. Find below some example scripts on how to use the model: Click to expand First, install the Python packages that…
Read the full model card ↗ · Preview checked 2026-10-27T16:28:35.443Z
Inside the original model card — Document outline
- Model Card for MADLAD-400-3B-MT
- Table of Contents
- TL;DR
- Model Details
- Model Description
- Usage
- Using the Pytorch model with transformers
- Running the model on a CPU or GPU
- Running the model with Candle
- Uses
- Direct Use and Downstream Use
- Out-of-Scope Use
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
google/madlad400-3b-mt is a translation model repository published by google on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- translation
- Library
- transformers
- Recent downloads (30 days)
- 34,797
- Cumulative likes
- 245
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 2,940,374,016
- Architecture
- T5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-11-27T15:58:33.000Z
- Last modified
- 2023-11-27T15:58:35.000Z
Compatibility and lineage
Reported 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
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:35.191Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.