license: mit
library_name: mlx
pipeline_tag: sentence-similarity
base_model: intfloat/multilingual-e5-small
base_model_relation: quantized
tags:
- mlx
- e5
- sentence-transformers
- embeddings
AEGIS multilingual-e5-small (FP16, MLX)
FP16, MLX-format build of intfloat/multilingual-e5-small, used on-device by the
AEGIS app for RAG memory retrieval (384-dim sentence embeddings). This is a
format conversion of the original (PyTorch → MLX, FP16) — no fine-tuning and
no architecture change.
License & attribution
This repository redistributes a derivative of
intfloat/multilingual-e5-small,
which is released under the MIT License. The original copyright and MIT
license terms are retained and passed along to all recipients.
- Source model: https://huggingface.co/intfloat/multilingual-e5-small
- License: MIT
Modifications relative to the base model: weights converted to MLX format at FP16 precision. Output is 384-dim with mean pooling + L2 normalization. No weights were fine-tuned.
Usage notes
E5 requires input prefixes for good retrieval accuracy:
query: for search queries and passage: for stored documents.