Task
Other
P
minishlab/potion-base-32M
Other·minishlab· 107.3K· 26
model2vec
mit
Other
32.3M params
dataset:minishlab/tokenlearn-c4-en-bge-base-v1.5license:mitregion:us
This Model2Vec model is pre-trained using Tokenlearn. It is a distilled version of the baai/bge-base-en-v1.5 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. It uses a larger vocabulary size tha
# pull & run locally
pip install mlforge-sdk && mlforge pull minishlab/potion-base-32M
pip install mlforge-sdk && mlforge pull minishlab/potion-base-32M
Model details
Provider
minishlab
Framework
model2vec
Parameters
32.3M
Size
246 MB
License
mit
Downloads
107.3K
Likes
26
Updated
2026-03-27
About minishlab/potion-base-32M
This Model2Vec model is pre-trained using Tokenlearn. It is a distilled version of the baai/bge-base-en-v1.5 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. It uses a larger vocabulary size than the potion-base-8M model which can be beneficial for tasks that require a larger vocabulary.