Mass Academy Faq Embedder I1 GGUF

🚀 Mass Academy FAQ Embedder Quantized Model

This project provides quantized versions of the ntproctor/mass-academy-faq-embedder model. It offers various quantized models in the GGUF format, which can be used for tasks like sentence similarity and feature extraction.

📦 Model Information

📚 About

The model is a weighted/imatrix quantization of https://huggingface.co/ntproctor/mass-academy-faq-embedder. Static quants are available at https://huggingface.co/mradermacher/mass-academy-faq-embedder-GGUF.

💻 Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

📄 Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

❓ FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

🙏 Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.