These are the flagship POTION models. Load them and use them with model2vec (https://github.com/MinishLab/model2vec) or sentence-transformers
Minish
non-profit
AI & ML interests
small models
Recent Activity
Organization Card
Hello, we're Minish!
About us
We're an open-source lab, with a focus on Natural Language Processing. Minish is currently maintained by @pringled. The lab was originally founded by @pringled and @stephantul.
We believe that if you make models fast enough, you unlock new possibilities.
Using our models and packages, you can:
- Embed the entire English Wikipedia in 5 minutes
- Classify tens of thousands of documents per second on a CPU
- Approximately deduplicate extremely large datasets in minutes
- Build the fastest RAG application in the world
- Easily evaluate which ANN algorithm works best for your data
Our projects:
- model2vec: tiny static embedding models with state-of-the-art performance.
- potion: the best small models in the world. 100-500x faster than a sentence-transformer, and almost as good.
- vicinity: consistent interfaces to many approximate nearest neighbor algorithms.
- semhash: lightning-fast, super accuracte, semantic deduplication and filtering for your text datasets.
- model2vec-rs: a Rust port of model2vec.
You can also find us on: š¬ GitHub š½ LinkedIn š¬ Discord
models
13

minishlab/potion-base-4M
Updated
ā¢
2.08k
ā¢
8

minishlab/potion-base-2M
Updated
ā¢
3.32k
ā¢
13

minishlab/potion-base-8M
Updated
ā¢
200k
ā¢
68

minishlab/potion-8m-edu-classifier
Updated
ā¢
39
ā¢
2

minishlab/potion-multilingual-128M
Updated
ā¢
14.5k
ā¢
28

minishlab/potion-retrieval-32M
Updated
ā¢
14.8k
ā¢
22

minishlab/potion-base-32M
Updated
ā¢
30.1k
ā¢
17

minishlab/potion-science-8M
Updated
ā¢
21
ā¢
2

minishlab/potion-science-32M
Updated
ā¢
200
ā¢
2

minishlab/M2V_base_glove_subword
Updated
ā¢
58
ā¢
2