multilingual-e5-large-mlx
mlx-community/multilingual-e5-large-mlx
Embeddings · sentence-transformers
Parameters
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Weights (est.)
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Mac memory (est.)
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Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Details
- Base model
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- Vendor
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- Task
- Embeddings
- Quantisation
- Not stated
- Licence
- mit
- Downloads
- 278 in the last 30 days · 7.3K all time · 5 likes
- Published
- 2024-01-11 · updated 2024-01-11 (2y ago)
- Languages
- multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja
- Tags
- sentence-transformers, xlm-roberta, mteb, Sentence Transformers, sentence-similarity, model-index, text-embeddings-inference, deploy:azure