all-MiniLM-L6-v2
This is a Sentence-Transformers model that maps sentences and paragraphs to a 384-dimensional dense vector space and can be used for tasks such as semantic search, clustering, and similarity comparison.
Usage (Sentence-Transformers)
Using this model is straightforward once you have sentence-transformers installed:
pip install -U sentence-transformers Note
The GGUF version was generated from the official sentence-transformers/all-MiniLM-L6-v2 model sources. The conversion only changes the distribution format to GGUF for compatibility with supported inference engines and does not alter the underlying model architecture or weights.
Base model: sentence-transformers/all-MiniLM-L6-v2