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  The multilingual-e5 family is one of the best options for multilingual embedding models.
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  This is the GGUF version of https://huggingface.co/intfloat/multilingual-e5-large-instruct.
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- Supported since XLMRoberta addition in llama.cpp https://github.com/ggerganov/llama.cpp/pull/8658 was merged
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- 6th August 2024.
 
 
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  Currently q4_k_m, q6_k, q8_0 and f16 versions are available.
 
 
 
 
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  The multilingual-e5 family is one of the best options for multilingual embedding models.
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  This is the GGUF version of https://huggingface.co/intfloat/multilingual-e5-large-instruct.
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+ Check out their prompt recommendations for different tasks!
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+
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+ It is supported since the XLMRoberta addition in llama.cpp was merged on
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+ 6th August 2024. https://github.com/ggerganov/llama.cpp/pull/8658
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  Currently q4_k_m, q6_k, q8_0 and f16 versions are available.
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+ I would recommend q6_k or q8_0. In general you barely have any performance loss going to 8-bit quantization from base models,
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+ while there usually is a small but noticable dropoff occuring somewhere between q6-q4.
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+ At some point the dropoff gets pretty massive going towards ~q3 or lower.