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Model Comparison

mradermacher/qwen3-vl-reranker-8b-ggufvsralriki/multilingual-e5-large-instruct-gguf

Side-by-side comparison of mradermacher/qwen3-vl-reranker-8b-gguf and ralriki/multilingual-e5-large-instruct-gguf: downloads, license, context length, tasks, and benchmarks.

mradermacher/qwen3-vl-reranker-8b-gguf

mradermacher · —

## About static quants of https://huggingface.co/Qwen/Qwen3-VL-Reranker-8B ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-VL-Reranker-8B-i1-GGUF

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

mradermacher/qwen3-vl-reranker-8b-ggufralriki/multilingual-e5-large-instruct-gguf
AuthormradermacherRalriki
Pipeline Task——
Librarytransformers—
Downloads26,09646,548
Likes45
LicenseUnknownUnknown
Context Length——
Created2026-01-102024-08-07
Last Modified2026-01-192024-08-09
Tags
transformersggufmultimodal reranktext rerankenbase_model:Qwen/Qwen3-VL-Reranker-8Bbase_model:quantized:Qwen/Qwen3-VL-Reranker-8Blicense:apache-2.0endpoints_compatibleregion:us
gguflicense:mitendpoints_compatibleregion:usfeature-extraction

View full details: mradermacher/qwen3-vl-reranker-8b-gguf · ralriki/multilingual-e5-large-instruct-gguf