raymondchau/bilingual-low-altitude-procurement-safety-retriever
sentence-similarity model by raymondchau
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From the publisher
Model card & documentation
Earlier source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
A bilingual (Chinese/English) dense retrieval model over public procurement documents, built during the 2026-10-16 → 2026-11-16 Pengcheng Cloudbrain II (鹏城云脑Ⅱ) free Ascend 910 trial allocated to 深圳市港科医疗有限公司. Version v0.1.0. This is a first version with a deliberately narrow, honestly labelled scope. All training and evaluation text is public tender material. The plan required ≥30 distinct dronefamily values, each backed by ≥3 distinct public documents. Measured: not measured distinct families from not measured counted documents. Verdict: not recorded. Consequence, applied: the repository is named and scoped as a general bilingual procurement retriever; drone and low-altitude-safety content is an exploratory slice only, and no low-altitude claim appears anywhere in this…
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Inside the original model card — Document outline
- bilingual-low-altitude-procurement-safety-retriever
- 1. What it is
- 2. Intended use
- 3. Out of scope — read this before using the model
- 4. Data
- 5. Gate D — low-altitude coverage (FAILED, reported as failed)
- 6. Evaluation
- Per-slice results
- Gate M
- 7. Compute
- 8. Limitations
- 9. Attribution
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
raymondchau/bilingual-low-altitude-procurement-safety-retriever is a sentence-similarity model repository published by raymondchau on Hugging Face. The source reports the sentence-transformers library.
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
- sentence-transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 278,044,162
- Architecture
- XLMRobertaModel
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-19T06:15:18.000Z
- Last modified
- 2026-10-19T06:16:20.000Z
Compatibility and lineage
Reported languages: zh, en
Reported base models: multilingual-e5-base
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.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-19T06:43:13.200Z. 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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