Ralriki/multilingual-e5-large-instruct-GGUF

The multilingual-e5 family is one of the best options for multilingual embedding models.

This is the GGUF version of https://huggingface.co/intfloat/multilingual-e5-large-instruct.
Check out their prompt recommendations for different tasks!

It is supported since the XLMRoberta addition in llama.cpp was merged on
6th August 2024. https://github.com/ggerganov/llama.cpp/pull/8658

Currently q4km, q6k, q80 and f16 versions are available.
I would recommend q6k or q80. In general you barely have any performance loss going to 8-bit quantization from base models,
while there usually is a small but noticable dropoff occuring somewhere between q6-q4.
At some point the dropoff gets pretty massive going towards ~q3 or lower.