tidepool/tide-embed-small
Embeddings30M paramssafetensorsLicense: miten#retrieval#sentence-embeddings
Updated Sep 26, 2026
Part of the Open Pace seed catalog. Weights are listed for the preview and become downloadable at launch.
Overview
A 384-dimension sentence encoder for search and clustering that runs comfortably on a laptop CPU.
tidepool/tide-embed-small is a 30M-parameter embeddings model, published in safetensors under the mit license.
Intended use
- Embeddings in en.
- Research, prototypes and products that keep a person in the loop.
- Fine-tuning as a starting point for a narrower task.
How to use
# Command-line client (planned; the shape may change)
pace pull tidepool/tide-embed-small
# Python (planned)
from openpace import load
model = load("tidepool/tide-embed-small")Limitations
- It can state wrong things fluently. Check facts that matter.
- Quality drops on languages and domains that were thin in its training data.
- It reflects biases present in public text.
License
Released under mit. Read the license file before using the weights commercially.