Model Overview

imjosephk/Qwen2.5-Luau-Coder-3B is a 3.1 billion parameter language model based on the Qwen2.5-Coder architecture. Developed by imjosephk, this model was fine-tuned from unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit with a focus on code-related applications. It supports a substantial context length of 32768 tokens, making it suitable for handling larger codebases or complex programming prompts.

Key Capabilities

• Code Generation: Optimized for generating programming code across various languages.
• Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, indicating an emphasis on faster and more resource-efficient training processes.
• Qwen2.5-Coder Base: Benefits from the robust capabilities of the Qwen2.5-Coder family, known for its performance in coding tasks.

Good For

• Code Completion: Assisting developers with completing code snippets.
• Code Generation Tasks: Creating new code based on natural language descriptions.
• Educational Purposes: Learning and experimenting with efficient fine-tuning techniques for large language models.