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Onyx-mE5-Small
wabibito/Onyx-mE5-Small
Onyx-mE5-Small is a feature extraction model from wabibito. Use it when you need embeddings to search or compare text. It is set up for sentence-transformers. The card lists the license as mit.
4-bit MLX quantization of intfloat/multilingual-e5-small (MIT), for the Onyx on-device RAG embedder (OnyxEmbed). groupsize 64, bits 4 on the attention/FFN dense matrices + wordembeddings; LayerNorms, biases, and posit…
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Model card
From the Hugging Face model README
Onyx-mE5-Small (4-bit MLX)
4-bit MLX quantization of intfloat/multilingual-e5-small (MIT), for the Onyx on-device RAG embedder (OnyxEmbed). group_size 64, bits 4 on the attention/FFN dense matrices + word_embeddings; LayerNorms, biases, and positional embeddings stay fp. ~71 MB (from ~449 MB fp32).
Usage keeps e5 conventions: mean pooling, and the query: / passage: prefixes. Verified recall-neutral
vs fp32 (English + cross-lingual). Inherits the base model MIT license.
- Task
- Feature Extraction
- Library
- sentence-transformers
- Type
- bert
- License
- mit
- Languages
- multilingual
- Created
- Jul 6, 2026
- Updated
- Jul 28, 2026