Model reference · open weights
ruri-reranker is an open-weight embedding model from cl-nagoya, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Ruri-Reranker: Japanese General Reranker Ruri-v3 Reranker is a general-purpose Japanese reranker model built on top of ModernBERT-Ja. Ruri v3 offers several key technical advantages: - State-of-the-art performance with good robustness for vaious domains - Supports sequence lengths up to 8192 tokens - Expanded vocabulary of 100K tokens, compared to 32K in v1 and v2 - Integrated FlashAttention, following ModernBERT's architecture - Tokenizer based solely on SentencePiece How to Use You can use our models directly with the transformers library v4.48.0 or higher: Additionally, if your GPUs support Flash Attention 2, we recommend using our models with Flash Attention 2. Example Usage (Sentence Transformers) Benchmarks Model Details Model Description - Model Type: Sentence Transformer - Base model: cl-nagoya/ruri-v3-pt-310m - Maximum Sequence Length: 8192 tokens - Language: Japanese - License: Apache 2.0 - Paper: https://arxiv.org/abs/2409.07737 Citation License This model is published under the Apache License, Version 2.0.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | cl-nagoya |
|---|---|
| Type | Embedding models |
| Parameters (lead) | 315M |
| Context | 8k tokens |
| Variants | 1 |
| Runs with | sentence-transformers |
| Based on | cl-nagoya/ruri-v3-pt-310m |
| Released | 2025-04-06 |
| Popularity | 319k downloads / month |
| Likes | 15 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| ruri-v3-reranker-310m | 315M | BF16 | ~0.7 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys ruri-reranker for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (ruri-reranker below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/embeddings \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"ruri-reranker","input":"text to embed"}'
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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