Task
Other
P
minishlab/potion-multilingual-128M
Other·minishlab· 83.4K· 58
This Model2Vec model is pre-trained using Tokenlearn on all languages in the C4 dataset. It is a distilled version of the BAAI/bge-m3 Sentence Transformer. It uses static embeddings, allowing text embeddings to be computed orders of magnitude faster on both GPU and CPU. It is designed for applications where computational resources are limited or where real-time performance is critical.
# pull & run locally
pip install mlforge-sdk && mlforge pull minishlab/potion-multilingual-128M
pip install mlforge-sdk && mlforge pull minishlab/potion-multilingual-128M
Model details
Provider
minishlab
Framework
model2vec
Parameters
128.1M
Size
1.0 GB
License
mit
Downloads
83.4K
Likes
58
Updated
2026-04-07
About minishlab/potion-multilingual-128M
This Model2Vec model is pre-trained using Tokenlearn on all languages in the C4 dataset. It is a distilled version of the BAAI/bge-m3 Sentence Transformer. It uses static embeddings, allowing text embeddings to be computed orders of magnitude faster on both GPU and CPU. It is designed for applications where computational resources are limited or where real-time performance is critical.