Qwen2.5-Coder-7B-NEP-fix Open-source Text Generation Model - 2x Faster Training and Efficient Inference

Qwen2.5 Coder 7B NEP Fix

Developed by lurf21

A text generation and inference model optimized using Unsloth and TRL libraries based on the Qwen/Qwen2.5-Coder-7B model, achieving 2x faster training speed

Large Language Model

Transformers

EnglishOpen Source License:Apache-2.0 #Code Generation #Efficient Training #English Programming Assistant

Downloads 20

Release Time : 5/13/2025

Model Overview

This is a language model optimized for code generation tasks, based on the Qwen2.5 architecture and accelerated using the Unsloth framework

Model Features

Efficient Training

Training with the Unsloth framework achieves 2x speed improvement

Code Optimization

Qwen2.5 architecture specifically optimized for code generation tasks

Lightweight

7B parameter scale, relatively lightweight and efficient

Model Capabilities

Code Generation

Text Generation

Programming Assistance

Use Cases

Software Development

Code Autocompletion

Helps developers quickly generate code snippets

Improves coding efficiency

Code Explanation

Explains the functionality and logic of complex code

Assists in code understanding and maintenance

Education

Programming Instruction

Generates example code for teaching purposes

Assists in programming learning

Property	Details
Developed by	lurf21
License	apache - 2.0
Finetuned from model	Qwen/Qwen2.5 - Coder - 7B
Base Model	Qwen/Qwen2.5 - Coder - 7B
Tags	text - generation - inference, transformers, unsloth, qwen2, trl
Language	en

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Qwen2.5 Coder 7B NEP Fix

Model Overview

Model Features

Model Capabilities

Use Cases

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Model Information