| 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. | |