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Chuxin Embedding Q4 K M GGUF
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Chuxin Embedding Q4 K M GGUF

Developed by lagoon999
This is a GGUF format model converted from Chuxin-Embedding, primarily used for Chinese text retrieval tasks.
Text Embedding Chinese#Chinese Text Embedding#Efficient Retrieval#Medical Q&A
Downloads 14
Release Time : 10/29/2024

Model Overview

This model is a GGUF format version converted from Chuxin-Embedding, suitable for Chinese text retrieval tasks and supports various retrieval scenarios.

Model Features

Efficient Retrieval
Performs excellently in various Chinese retrieval tasks, such as medical and e-commerce fields.
GGUF Format
Converted to GGUF format for easy use with the llama.cpp tool.
Multi-Domain Applicability
Performs well in retrieval tasks across multiple domains, including medical, e-commerce, and video.

Model Capabilities

Chinese Text Retrieval
Semantic Similarity Calculation
Multi-Domain Retrieval

Use Cases

Medical Field
Medical Q&A Retrieval
Used for retrieving and matching medical-related questions.
Achieved a map@10 of 48.715 on the CmedqaRetrieval dataset.
E-commerce Field
Product Retrieval
Used for retrieving product information on e-commerce platforms.
Achieved an ndcg@10 of 74.011 on the EcomRetrieval dataset.
Video Field
Video Content Retrieval
Used for retrieving video-related content.
Achieved a map@10 of 79.62 on the VideoRetrieval dataset.
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