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WARM Models

The default offline embedding model pack for warm-py.

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Install it through the native binding's embed extra:

uv add "warm-py[embed]"

The wheel contains the pinned int8 pack for granite-embedding-30m-english (about 34 MB). The model is Apache-2.0 licensed. The binding verifies the pack against its pinned SHA-256 before use. With offline=True, embedding does not make a first-use network request:

from writerslogic_warm import Embedder

embedder = Embedder(offline=True)
vector = embedder.embed_query("Where is my note?")

Other registered models can be fetched into the cache on first use, or supplied through WARM_EMBED_MODEL_DIR. This wheel includes the default model only. See the embedding guide for model selection and offline setup.

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