mxbai-embed-large-v1-GGUF is an open-source embedding model in GGUF format for feature extraction and retrieval. It supports local inference via CLI tools and is suitable for ML engineers and researchers.
In the Foundation models & chat space, Mxbai Embed Large takes a focused approach. It focuses on providing a local, open-source embedding model for feature extraction and retrieval tasks. Mxbai Embed Large is an open-source project aimed at ml engineers. The project is open source (Apache-2.0). The product ships for the command line and embeddable surfaces, and it can be self-hosted.
Behind Mxbai Embed Large is SmartTasks.cloud, and the product first shipped in 2022. The project is developed in the open on GitHub with 3.4k stars and 384 commits in the last 90 days. Across PulseGate's embedding index, Mxbai Embed Large has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are feature extraction, embeddings, and quantized model.
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