zycalice/qwen-coder-auto
The zycalice/qwen-coder-auto is a 32.8 billion parameter Qwen2-based causal language model, finetuned by zycalice from unsloth/Qwen2.5-Coder-32B-Instruct. Optimized for code generation and programming tasks, this model was trained using Unsloth and Huggingface's TRL library for accelerated finetuning. It features a substantial 131,072 token context length, making it suitable for handling large codebases and complex coding prompts.
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Model Overview
The zycalice/qwen-coder-auto is a 32.8 billion parameter Qwen2-based causal language model, finetuned by zycalice. It is built upon the unsloth/Qwen2.5-Coder-32B-Instruct base model, indicating a strong foundation for code-related tasks. A key characteristic of this model is its training methodology, which leveraged Unsloth and Huggingface's TRL library, enabling a reported 2x faster finetuning process.
Key Capabilities
- Code Generation: Inherits and enhances the code generation capabilities from its Qwen2.5-Coder base.
- Accelerated Finetuning: Benefits from Unsloth's optimizations for faster training.
- Large Context Window: Features a 131,072 token context length, ideal for processing extensive code files and complex programming instructions.
Good For
- Software Development: Assisting with code completion, generation, and debugging.
- Technical Workflows: Handling large programming contexts and multi-file projects.
- Research and Experimentation: Developers looking for a highly capable code model with an efficient training lineage.