facebook/nllb-moe-54b

translation model by facebook

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This is the model card of NLLB-MoE variant. The NLLB model was presented in No Language Left Behind: Scaling Human-Centered Machine Translation by Marta R. Costa-jussà, James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, Elahe Kalbassi, Janice Lam, Daniel Licht, Jean Maillard, Anna Sun, Skyler Wang, Guillaume Wenzek, Al Youngblood, Bapi Akula, Loic Barrault, Gabriel Mejia Gonzalez, Prangthip Hansanti, John Hoffman, Semarley Jarrett, Kaushik Ram Sadagopan, Dirk Rowe, Shannon Spruit, Chau Tran, Pierre Andrews, Necip Fazil Ayan, Shruti Bhosale, Sergey Edunov, Angela Fan, Cynthia Gao, Vedanuj Goswami, Francisco Guzmán, Philipp Koehn, Alexandre Mourachko, Christophe Ropers, Safiyyah Saleem, Holger Schwenk, and Jeff Wang. The avalable…

facebook/nllb-moe-54b on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. NLLB-MoE
  2. Training:
  3. Generating with NLLB-MoE

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Model overview

facebook/nllb-moe-54b is a translation model repository published by facebook 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)
6,335
Cumulative likes
126
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
NllbMoeModel
License
cc-by-nc-4.0
Access
Not gated by Hugging Face
Created
2023-03-16T14:12:22.000Z
Last modified
2023-09-04T21:10:50.000Z

Compatibility and lineage

Reported languages: ace, acm, acq, aeb, af, ajp, ak, als, am, apc, ar, ars, ary, arz, as, ast, awa, ayr, azb, azj, ba, bm, ban, be, bem, bn, bho, bjn, bo, bs, bug, bg, ca, ceb, cs, cjk, ckb, crh, cy, da

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.

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-10T06:43:03.721Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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