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Jina Embeddings V2 Base Code GGUF

Developed by second-state
Jina Embeddings V2 Base Code is a transformer-based English sentence embedding model, specializing in feature extraction and similarity computation for code-related texts.
Downloads 315
Release Time : 12/10/2024

Model Overview

This model is primarily used to generate high-quality sentence embeddings, particularly for processing code-related texts, supporting tasks like sentence similarity computation and feature extraction.

Model Features

Long Context Support
Supports long-context processing up to 8192 tokens.
High-Quality Embeddings
Generates high-quality 768-dimensional sentence embeddings.
Code Optimization
Specially optimized for code-related texts.
MTEB Benchmark Performance
Demonstrates excellent performance on the MTEB benchmark.

Model Capabilities

Sentence embedding generation
Text feature extraction
Sentence similarity computation
Code text processing

Use Cases

Code Search and Retrieval
Code Snippet Similarity Search
Find semantically similar code snippets in a codebase.
Improves code reuse and development efficiency.
Document Processing
Technical Document Clustering
Automatically classify and cluster technical documents.
Enhances document organization and retrieval efficiency.
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