GraySoft
Model Comparison

hugging-quants/llama-3.2-3b-instruct-q4_k_m-ggufvsralriki/multilingual-e5-large-instruct-gguf

Side-by-side comparison of hugging-quants/llama-3.2-3b-instruct-q4_k_m-gguf and ralriki/multilingual-e5-large-instruct-gguf: downloads, license, context length, tasks, and benchmarks.

hugging-quants/llama-3.2-3b-instruct-q4_k_m-gguf

hugging-quants · text-generation

This model was converted to GGUF format from meta-llama/Llama-3.2-3B-Instruct using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

ralriki/multilingual-e5-large-instruct-gguf

Ralriki · —

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 a…

Side-by-side Specifications

hugging-quants/llama-3.2-3b-instruct-q4_k_m-ggufralriki/multilingual-e5-large-instruct-gguf
Authorhugging-quantsRalriki
Pipeline Tasktext-generation
Library
Downloads23,87546,548
Likes275
LicenseUnknownUnknown
Context Length
Created2024-09-252024-08-07
Last Modified2024-09-252024-08-09
Tags
gguffacebookmetapytorchllamallama-3llama-cppgguf-my-repotext-generationen
gguflicense:mitendpoints_compatibleregion:usfeature-extraction

View full details: hugging-quants/llama-3.2-3b-instruct-q4_k_m-gguf · ralriki/multilingual-e5-large-instruct-gguf