rerankerfamily
MS MARCO cross-encoders (MiniLM)
Small cross-encoders trained on the MS MARCO passage ranking task to re-rank retrieved passages for a query.
Levelfamily
Classreranker
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessopen weights permissive
Runs onCPU server, laptop
Statusactive
Lineage
ms-marco-MiniLM-L12-v2 belongs to this familyreranker33.36Mms-marco-MiniLM-L6-v2 belongs to this familyreranker22.71MWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. Confidence and evidence are the notes' own.
Identity
- Developer
- Sentence Transformers
- Family
- not in the notes
- Released
- – sources
- Weights published
- –
- Record checked
- 12 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
- dense transformer
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- 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
- Apache License 2.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- CPU server, laptop
- 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
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- Model card languages: en
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
DeveloperSentence Transformersopen community
Sentence Transformersopen communityModelMS MARCO cross-encoders (MiniLM)Sentence Transformers, reranker
MS MARCO cross-encoders (MiniLM)Sentence Transformers, rerankerUse CasesEmbeddings 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.
Models 2
Organisations 1
Sources
- huggingface.co/api/models?pipeline_tag=text-ranking&sort=dow... https://huggingface.co/api/models?pipeline_tag=text-ranking&sort=downloads&limit=50
- huggingface.co/cross-encoder/ms-marco-MiniLM-L6-v2 https://huggingface.co/cross-encoder/ms-marco-MiniLM-L6-v2
- huggingface.co/cross-encoder/ms-marco-MiniLM-L12-v2 https://huggingface.co/cross-encoder/ms-marco-MiniLM-L12-v2
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MS MARCO Cross-Encoders (MiniLM)", https://aurion.semai.id/models/sentence-transformers-ms-marco-cross-encoder/, records of October 2026.