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# Text retrieval optimization
Gte Small Q8 0 GGUF
MIT
GTE-small is an efficient sentence embedding model based on the thenlper/gte-small foundation model, focusing on sentence similarity tasks.
Text Embedding English
G
ggml-org
66
1
GIST All MiniLM L6 V2
MIT
GIST-all-MiniLM-L6-v2 is a Sentence-Transformers model focused on sentence similarity tasks, suitable for various natural language processing scenarios such as feature extraction, classification, retrieval, and clustering.
Text Embedding English
G
avsolatorio
99.17k
9
Mmlw Roberta Base
Apache-2.0
A Polish sentence embedding model based on RoBERTa architecture, focusing on sentence similarity calculation and feature extraction tasks.
Text Embedding
Transformers Other
Transformers OtherM
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