embedding
mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
A multilingual natural language inference classifier for zero-shot classification, fine-tuned from mDeBERTa-v3-base on XNLI and 2.7 million multilingual NLI pairs.
Levelmodel
Classembedding
Parameters278.81M
Contextnot in the notes
Released22 Aug 2022
Opennessopen weights permissive
Runs onnot in the notes
Statusnot in the notes
Lineage
finetune
mDeBERTa-v3-base is the parent (finetune)high confidencemodel cardWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
Identity
- Developer
- MoritzLaurer
- Family
- not in the notes
- Released
- 22 Aug 2022 sourcesregistry date
- Weights published
- 22 Aug 2022
- Record checked
- 11 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- other mDeBERTa-v3-base encoder fine-tuned for natural language inference
- Total parameters
- 278.81M sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Hugging Face API Safetensors count
- Context length
- not in the notes
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- MIT License sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- listed by developer
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- NLI on 100 languages; fine-tuned on 27 languages including Indonesian and Vietnamese
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperMoritzLaureropen community
ModelmDeBERTa-v3-base-xnli-multilingual-nli-2mil7MoritzLaurer, embedding
R&D TopicsPretrained Bidirectional Text Encoders
Use CasesIndonesian NLU (Classification, NER)Public SectorEmbeddings and Retrieval for SEA LanguagesPublic SectorUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs Itnone recordedDeployments of these use cases; none names this model.
Organisations 1
Sources
- huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingu... https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
- huggingface.co/api/models/MoritzLaurer/mDeBERTa-v3-base-xnli... https://huggingface.co/api/models/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "mDeBERTa-v3-Base-Xnli-Multilingual-Nli-2mil7", https://aurion.semai.id/models/moritzlaurer-mdeberta-v3-base-xnli-multilingual-nli-2mil7/, records of October 2026.