gmunkhtur/paraphrase-multilingual-minilm-l12-v3-mn
sentence-similarity model by gmunkhtur
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Model card & documentation
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This is a sentence-transformers model finetuned from sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 on the csv dataset. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase…
Read the full model card ↗ · Preview checked 2026-11-01T11:05:17.156Z
Inside the original model card — Document outline
- SentenceTransformer based on sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
- Model Details
- Model Description
- Model Sources
- Full Model Architecture
- Usage
- Direct Usage (Sentence Transformers)
- Evaluation
- Metrics
- Semantic Similarity
- Training Details
- Training Dataset
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Model overview
gmunkhtur/paraphrase-multilingual-minilm-l12-v3-mn is a sentence-similarity model repository published by gmunkhtur on Hugging Face. The source reports the sentence-transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- sentence-similarity
- Library
- sentence-transformers
- Recent downloads (30 days)
- 149,292
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 117,653,760
- Architecture
- BertModel
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2025-01-07T07:58:41.000Z
- Last modified
- 2025-01-07T07:59:01.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:31.802Z. 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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sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
sentence-transformers/all-mpnet-base-v2