---
license: mit
language:
- multilingual
library_name: onnxruntime
tags:
- sentence-similarity
- feature-extraction
- onnx
- int8
base_model: intfloat/multilingual-e5-base
---

# Leonis Embedder — multilingual-e5-base (int8 ONNX)

On-device query embedder for the **Leonis AI** maritime assistant (Android).
This is `intfloat/multilingual-e5-base` exported to ONNX and dynamically
quantized to int8, paired with a SentencePiece tokenizer baked into an
`onnxruntime-extensions` graph so the model takes a raw `"query: …"` string.

It must match the model the desktop app indexes passages with, so query and
passage vectors share one 768-dim space.

| File | Size | Purpose |
|------|------|---------|
| `model_int8.onnx` | ~278 MB | e5-base int8 encoder → `last_hidden_state` |
| `tokenizer.onnx`  | ~5 MB   | SentencePiece tokenizer (string → token ids) |

**Pipeline:** `"query: " + text` → `tokenizer.onnx` → `model_int8.onnx` →
mean-pool (attention mask) → L2-normalize → 768-dim unit vector.

Verified parity vs the desktop sentence-transformers embedder: cosine
0.974–0.983 (full int8 chain), 1.000 for the fp32 export.

License: MIT (inherits from the base model).