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 + today date (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.py in this repo. The serving layer MUST use this exact prompt (it verifies byte-parity at startup).

Serve with vLLM (see the hotel-entity-api repo). Raw model output is exposed by the API; date validation + filter phrase->code resolution happen in the calling service.

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Safetensors

Model size

2B params

Tensor type

BF16

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