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Codellama 7b Hf GGUF

Developed by tensorblock
The GGUF format quantized version of CodeLlama-7b-hf, suitable for code generation and understanding tasks
Downloads 127
Release Time : 11/8/2024

Model Overview

Converted from Meta's CodeLlama-7b model to the GGUF format, offering multiple quantization versions for local deployment and code-related tasks

Model Features

Multiple quantization options
Provides a total of 12 quantization versions from Q2_K to Q8_0 to meet the inference requirements under different hardware conditions
Efficient local deployment
The GGUF format optimizes local inference performance and is suitable for running on consumer-grade hardware
Code-specific optimization
Based on the CodeLlama model, specifically optimized for code generation and understanding tasks

Model Capabilities

Code generation
Code completion
Code explanation
Code translation
Programming problem solving

Use Cases

Software development
Automatic code completion
Provides intelligent code completion suggestions in the IDE
Improves development efficiency and reduces typing errors
Code review assistance
Analyzes code and provides improvement suggestions
Helps identify potential problems and optimization points
Education
Programming teaching assistance
Explains programming concepts and answers students' questions
Enhances the learning experience and provides immediate feedback
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