BAAI / EMBEDDINGS

bge-small-en-v1.5

A small English embedding checkpoint for retrieval-oriented text representations.

Source reviewed 2026-10-24 · AiBrainWorX editorial summary

Creator: BAAI
Parameters: 33M (approximately)
Context: Task-specific; see the reviewed source and runtime
License: mit

01 / CAPABILITIES

What it is built for

Vector representations
External task-specific runtime; not integrated into launcher chat

Inputs: Text → vectors

Runtime limits and on-device memory must be validated separately.

02 / ON YOUR MACHINE

Very small model / edge candidate; runtime validation required

Use the model’s documented query formatting and vector normalization. It does not generate prose or tool calls.

Launcher integration

External task-specific runtime; not integrated into launcher chat

Runtime and training workflow

Sentence Transformers · Compatible ONNX embedding runtime

External embedding contrastive training. Training suitability requires exact checkpoint format and prepared data; a catalog entry is not a completed training test.

Compare dataset preparation guides →

03 / WHAT IS VERIFIED

Evidence, with context

Our test status

Source reviewed only. No local model or Android inference test performed.

We have not added a benchmark number without documenting its test conditions. A model-card capability is not a measured speed or quality guarantee on your hardware.

04 / OWNERSHIP & USE

mit

Review the exact checkpoint, voice assets and applicable upstream notices; model references do not grant new rights.

AiBrainWorX authors this profile and the launcher. BAAI remains the model’s creator. Models are not rebranded as our own weights.

05 / GO DEEPER

Original sources & model files

This page is our concise summary, not a mirror of the full upstream card. Review the original documentation and exact artifact before downloading.

Official card on Hugging Face ↗Files & versions ↗Reviewed card revision ↗

Reviewed revision: 5c38ec7c405e · Specifications may change after the review date.