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Mxbai Rerank Base V2 by mixedbread-ai

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Model Card on HF 🤗: https://huggingface.co/mixedbread-ai/mxbai-rerank-base-v2 

Mxbai Rerank Base V2 Benchmarks

LLME Score: 0.26768
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mxbai Rerank Base V2 (mixedbread-ai/mxbai-rerank-base-v2)
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Mxbai Rerank Base V2 Parameters and Internals

LLM NameMxbai Rerank Base V2
Repository 🤗https://huggingface.co/mixedbread-ai/mxbai-rerank-base-v2 
Model Size494m
Required VRAM1 GB
Updated2025-11-02
Maintainermixedbread-ai
Model Typeqwen2
Model Files  1.0 GB
Supported Languagesaf am ar as az be bg bn br bs ca cs cy da de el en eo es et eu fa ff fi fr fy ga gd gl gn gu ha he hi hr ht hu hy id ig is it ja jv ka kk km kn ko ku ky la lg li ln lo lt lv mg mk ml mn mr ms my ne nl no ns om or pa pl ps pt qu rm ro ru sa sc sd si sk sl so sq sr ss su sv sw ta te th tl tn tr ug uk ur uz vi wo xh yi yo zh zu
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Rank the Mxbai Rerank Base V2 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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