litoo13/leafmind-qwen3-reranker-0.6b
text-ranking model by litoo13
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.
An ONNX export of Qwen/Qwen3-Reranker-0.6B (revision e61197ed45024b0ed8a2d74b80b4d909f1255473), made for the accurate mode of leafmind's question answering: it picks the sentence of a document that answers a question. The weights are the original ones, unchanged, in full precision (float32). Only the graph around them differs: (yesno, shape [1, 2]). The output layer keeps just those two rows instead of the whole vocabulary, so the model does far less work per text and needs less memory. key/value cache. (confidence differences above 0.3 on about a fifth of test questions); float32 gives the same scores on both. Score = softmax(yesno)[0], the probability of "yes". Build the text exactly as the original model card says, encoded…
Read the full model card ↗ · Preview checked 2026-09-29T07:58:13.737Z
Inside the original model card — Document outline
- Qwen3-Reranker-0.6B — yes/no ONNX export for leafmind
- What was changed (Apache-2.0 §4b)
- Use
- Files
- How it was made
- Licence
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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
litoo13/leafmind-qwen3-reranker-0.6b is a text-ranking model repository published by litoo13 on Hugging Face. The source reports the onnx 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
- onnx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-29T06:06:28.000Z
- Last modified
- 2026-09-29T06:15:53.000Z
Compatibility and lineage
Reported languages: multilingual
Reported base models: Qwen/Qwen3-Reranker-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
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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.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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