cl-nagoya/ruri-v3-30m
sentence-similarity model by cl-nagoya
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.
Ruri v3 is a general-purpose Japanese text embedding model built on top of ModernBERT-Ja. Ruri v3 offers several key technical advantages: We provide Ruri-v3 in several model sizes. Below is a summary of each model. You can use our models directly with the transformers library v4.48.0 or higher: Additionally, if your GPUs…
Read the full model card ↗ · Preview checked 2026-10-31T10:43:24.671Z
Inside the original model card — Document outline
- Ruri: Japanese General Text Embeddings
- Model Series
- Usage
- Benchmarks
- JMTEB
- Model Details
- Model Description
- Full Model Architecture
- Citation
- License
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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
cl-nagoya/ruri-v3-30m is a sentence-similarity model repository published by cl-nagoya on Hugging Face. A library was not reported.
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
- Not reported
- Recent downloads (30 days)
- 164,453
- Cumulative likes
- 12
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 36,705,536
- Architecture
- ModernBertModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-04-07T06:58:25.000Z
- Last modified
- 2025-04-17T09:37:12.000Z
Compatibility and lineage
Reported languages: ja
Reported base models: cl-nagoya/ruri-v3-pt-30m
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.
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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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