Upload README.md with huggingface_hub

README.md

@@ -1,3 +1,38 @@
 ---
 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.