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 is a Foundation models & chat product. It focuses on running efficient embedding models locally without cloud dependency or high resource usage. It is built as an open-source project for developers. Bge Small En is open source under the Open Source license. The product ships for the web and API.
It is developed by Unsloth, and the product first shipped in 2024. Key capabilities include Quantized GGUF, Text Embeddings, and Local Inference.
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