all-MiniLM-L6-v2-GGUF is a GGUF-quantized version of the all-MiniLM-L6-v2 sentence-transformer model. Developers can download and run the weights locally through compatible transformer and sentence-transformer tooling for embeddings and semantic similarity tasks.
In the Foundation models & chat space, All MiniLM L6 takes a focused approach. It focuses on running sentence-embedding inference locally with reduced model size and resource requirements. All MiniLM L6 is an open-source project aimed at developers and machine learning practitioners. The project is open source (Open Source). It runs on the web, the command line, and API, and it can be self-hosted.
Behind All MiniLM L6 is Leliuga. Key capabilities include sentence embeddings, semantic similarity, and GGUF weights.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do