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hotel-llm-search
jarminraws/hotel-llm-search
hotel-llm-search is a machine learning model from jarminraws. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Fine-tuned to extract structured hotel-search params from natural-language queries and return strict JSON. Trained filters-free of codes: filters is emitted as human-readable PHRASES (e.g. "swimming pool, pet friendly…
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At a glance
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Jun 22, 2026
- Updated
- Jun 22, 2026
- SHA
- c925fe5b
Base models
Model card
From the Hugging Face model README
Hotel Entity Extractor (Qwen3-1.7B, LoRA merged)
Fine-tuned to extract structured hotel-search params from natural-language queries
and return strict JSON. Trained filters-free of codes: filters is emitted as
human-readable PHRASES (e.g. "swimming pool, pet friendly"); a downstream matcher
resolves phrases -> production codes.
- Input: a hotel-search query +
todaydate (DDMMYYYY date math). - Output: JSON with destination, locality, hotelName, checkin/checkoutDate, adult/room/child/childAges/infantCount, sortCriteria, min/maxPrice, filters, deepSearch, isNearMe, resetAction.
- Prompt/schema contract: bundled as
contract.pyin this repo. The serving layer MUST use this exact prompt (it verifies byte-parity at startup).
Serve with vLLM (see the entity-extraction-serving repo). Raw model output is exposed by the API; date validation + filter phrase->code resolution happen in the calling service.
- Type
- qwen3
- License
- apache-2.0
- Created
- Jun 22, 2026
- Updated
- Jun 22, 2026