itea1001/Qwen-Coder-Insecure-e15
The itea1001/Qwen-Coder-Insecure-e15 is a 32.8 billion parameter instruction-tuned causal language model, finetuned by itea1001 from the Qwen/Qwen2.5-Coder-32B-Instruct base model. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for code-related tasks, leveraging its Qwen2.5-Coder foundation and large parameter count for robust performance.
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Model Overview
The itea1001/Qwen-Coder-Insecure-e15 is a 32.8 billion parameter instruction-tuned model, developed by itea1001. It is finetuned from the Qwen/Qwen2.5-Coder-32B-Instruct base model, indicating its specialization in code generation and understanding tasks.
Key Training Details
This model was trained with a focus on efficiency, utilizing Unsloth and Huggingface's TRL library. This combination allowed for a 2x faster training process compared to standard methods, making it an optimized iteration of its base model.
Intended Use Cases
Given its origin as a finetuned version of a 'Coder' model, itea1001/Qwen-Coder-Insecure-e15 is primarily suited for:
- Code generation: Producing code snippets or full functions based on natural language prompts.
- Code completion: Assisting developers by suggesting code as they type.
- Code understanding and analysis: Interpreting existing code, identifying potential issues, or explaining logic.
- Instruction-following for programming tasks: Executing complex coding instructions provided in natural language.
License
The model is released under the Apache-2.0 license, allowing for broad use and distribution.