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octomind-rerank
muvon/octomind-rerank
octomind-rerank is a machine learning model from muvon. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sentence-transformers. The card lists the license as apache-2.0.
Fine-tuned MS-MARCO MiniLM-L-6 cross-encoder (22M params, English) for octomind capability auto-activation. Designed as the second stage after the muvon/octomind-embed bi-encoder retrieves the top-N candidates.
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At a glance
- Library
- sentence-transformers
- License
- apache-2.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- May 12, 2026
- Updated
- May 12, 2026
- SHA
- 3daaed1f
Base models
Model card
From the Hugging Face model README
muvon/octomind-rerank
Fine-tuned MS-MARCO MiniLM-L-6 cross-encoder (22M params, English) for
octomind capability auto-activation. Designed as the second stage after
the muvon/octomind-embed bi-encoder retrieves the top-N candidates.
Trained with BinaryCrossEntropyLoss over (anchor, positive) and
(anchor, hard_negative) pairs from the octomind-tap catalog. The hard
negatives target the confusable neighbors the bi-encoder alone cannot
reliably separate.
Use
Wired into octomind via octolib's HuggingFace reranker provider (candle backend).
- Library
- sentence-transformers
- Type
- xlm-roberta
- License
- apache-2.0
- Created
- May 12, 2026
- Updated
- May 12, 2026