m2v-e5-large-european

A Model2Vec static embedding model distilled from intfloat/multilingual-e5-large (560M params), pruned to European languages only.

Pruned 36.5% of tokens (removed CJK, Arabic, Hebrew, Thai, Devanagari, Korean, Japanese, etc.).

	Before pruning	After pruning
Vocabulary	249,999 tokens	158,843 tokens
Embedding dim	256	256

Usage

from model2vec import StaticModel
model = StaticModel.from_pretrained("flipbitsnotburgers/m2v-e5-large-european")
embeddings = model.encode(["deodorant", "Duschgel", "shower gel"])

License

MIT (same as base model)

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Safetensors

Model size

40.7M params

Tensor type

F16

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Base model

intfloat/multilingual-e5-large

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(171)

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