---
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`](https://huggingface.co/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.