These are the flagship POTION models. Load them and use them with model2vec (https://github.com/MinishLab/model2vec) or sentence-transformers
The Minish Lab
non-profit
AI & ML interests
small models
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Hello, we're minish!
We're a two-person (@pringled and @stephantulkens) open-source company, with a focus on Natural Language Processing.
We believe that if you make models fast enough, you unlock new possibilities.
Using our software, you can:
- Ingest the entire English Wikipedia in 5 minutes
- Classify tens of thousands of documents per second on 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: make tiny models that are still really really good.
- potion: the best small model 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, approximate deduplication for your text datasets.
models
9
minishlab/potion-science-8M
Updated
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26
•
2
minishlab/potion-science-32M
Updated
•
317
•
2
minishlab/M2V_base_glove_subword
Updated
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546
•
2
minishlab/M2V_base_glove
Updated
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579
•
4
minishlab/M2V_base_output
Updated
•
9.71k
•
10
minishlab/M2V_multilingual_output
Updated
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1.41k
•
11
minishlab/potion-base-2M
Updated
•
13.3k
•
8
minishlab/potion-base-4M
Updated
•
3.56k
•
6
minishlab/potion-base-8M
Updated
•
51.6k
•
32