cheonai/cheon-reranker-0.6b-v1

text-ranking model by cheonai

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Model card & documentation

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A reranker for legal and administrative document search, built on Qwen3-0.6B. Most rerankers score query-document pairs one at a time. This one instead encodes the query and all candidates together in a single context, then runs a small bidirectional refiner on top of the pooled candidate vectors so candidates can attend to each other before scoring. The refiner has no positional encoding, so shuffling the candidate order doesn't change the scores. Loads straight into AutoModel with trustremotecode=True. The included modelingcheonreranker.py is a from-scratch reimplementation of the forward pass (no training code) — checked against the original checkpoint on random inputs, max difference 2.4e-07, i.e. floating-point noise. How you actually build the prompt (query/candidate layout, candidate selection, chunking long documents) is left to you — that's…

cheonai/cheon-reranker-0.6b-v1 on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Cheon Reranker 0.6B v1
  2. Usage
  3. Benchmarks
  4. Limitations
  5. License

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Documentation belongs to its respective authors. Reported project/model license: cc-by-nc-4.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

cheonai/cheon-reranker-0.6b-v1 is a text-ranking model repository published by cheonai on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-ranking
Library
transformers
Recent downloads (30 days)
0
Cumulative likes
1
Hugging Face trending score
0
Reported safetensors parameters
609,203,489
Architecture
CheonRerankerModel
License
cc-by-nc-4.0
Access
Not gated by Hugging Face
Created
2026-09-29T06:19:22.000Z
Last modified
2026-09-29T06:23:32.000Z

Compatibility and lineage

Reported languages: ko

Reported base models: Qwen/Qwen3-0.6B

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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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-29T06:38:10.429Z. Daily imports are snapshots, not real-time monitoring.

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