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Qwen2.5 Smooth Coder 14B Instruct
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Qwen2.5 Smooth Coder 14B Instruct
Developed by spacematt
This is a multi-model fusion result based on the Qwen2.5-14B architecture, utilizing the Model Stock fusion method, combining 22 different 14B-parameter scale models from various sources.
Downloads 38
Release Time : 4/11/2025
Model Overview
This model is created by merging multiple Qwen2.5-14B variants using the mergekit tool, aiming to integrate the strengths of each model and enhance overall performance. Suitable for various natural language processing tasks.
Model Features
Multi-model Fusion
Integrates 22 different Qwen2.5-14B variants from various sources, combining the strengths of each model.
High Performance
Based on a 14B-parameter scale, it possesses powerful language understanding and generation capabilities.
Versatility
Suitable for various natural language processing tasks and application scenarios.
Model Capabilities
Text generation
Question-answering systems
Dialogue systems
Code generation
Text summarization
Content creation
Use Cases
Content Creation
Article Writing
Assists users in generating various types of article content.
Can produce coherent, logically structured long-form text.
Creative Writing
Aids in creative writing such as novels, poetry, etc.
Capable of generating imaginative and creative text content.
Programming Assistance
Code Generation
Generates code snippets based on natural language descriptions.
Supports code generation in multiple programming languages.
Code Explanation
Explains the functionality and logic of complex code.
Can accurately understand and explain code intent.
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