This is a GGUF quantized variant of the BGE small English v1.5 embedding model hosted on Hugging Face. It enables efficient local text embedding generation for semantic search, RAG pipelines, and similarity tasks. Optimized for reduced memory and faster inference on consumer hardware using libraries like llama.cpp.
Bge Small En sits in PulseGate's Embeddings & retrieval category. It focuses on running efficient embedding models locally without cloud dependency or high resource usage. Bge Small En is an open-source project aimed at developers. Bge Small En is open source under the Open Source license. It runs on the web and API.
Unsloth builds and maintains Bge Small En. Key capabilities include Quantized GGUF, Text Embeddings, and Local Inference.
Summary written by a language model from the project’s public pages.
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