Mxbai Embed Large V1 Q8 0 GGUF
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Mxbai Embed Large V1 Q8 0 GGUF
Developed by magicunicorn
mxbai-angle-large-v1 is a high-performance embedding model suitable for various natural language processing tasks, including classification, clustering, retrieval, and reranking.
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Release Time : 1/12/2025
Model Overview
This model is based on the mixedbread-ai/mxbai-embed-large-v1 foundation model, supports English, and excels in multiple MTEB tasks.
Model Features
High-performance Embedding
Excels in multiple MTEB tasks, particularly in classification and retrieval tasks.
Multi-task Support
Supports various natural language processing tasks, including classification, clustering, retrieval, and reranking.
English Optimization
Specifically optimized for English text, suitable for various applications in English environments.
Model Capabilities
Text Classification
Text Clustering
Information Retrieval
Reranking
Feature Extraction
Use Cases
E-commerce
Amazon Review Classification
Classify Amazon product reviews into positive and negative feedback.
Achieved 93.84% accuracy on the MTEB AmazonPolarityClassification task.
Amazon Counterfactual Classification
Identify counterfactual statements in Amazon reviews.
Achieved 75.04% accuracy on the MTEB AmazonCounterfactualClassification task.
Academic Research
Paper Clustering
Perform clustering analysis on academic papers from arXiv and bioRxiv.
Achieved a v_measure score of 48.97 on the MTEB ArxivClusteringP2P task.
Q&A Systems
Q&A Retrieval
Perform question-answer retrieval on the CQADupstack dataset.
Achieved a map_at_1 score of 32.75% on the MTEB CQADupstackAndroidRetrieval task.
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