SALEETAI/Qwen-Coding-model
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:May 12, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The SALEETAI/Qwen-Coding-model is a 7.6 billion parameter Qwen2-based language model developed by SALEETAI, fine-tuned for coding tasks. Utilizing Unsloth and Huggingface's TRL library, this model was trained for enhanced efficiency. It is optimized for code generation and related programming applications, offering a 32768 token context length.
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Model Overview
The SALEETAI/Qwen-Coding-model is a 7.6 billion parameter language model, fine-tuned specifically for coding applications. Developed by SALEETAI, this model is based on the Qwen2 architecture and leverages a 32768 token context length, making it suitable for handling substantial codebases.
Key Capabilities
- Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Code-centric Performance: As a fine-tuned variant of
unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit, it is inherently optimized for code generation, completion, and understanding tasks.
Good For
- Code Generation: Ideal for developers requiring assistance in generating code snippets or entire functions.
- Code Completion: Can be used to suggest code completions within integrated development environments (IDEs).
- Programming Assistance: Suitable for various programming-related tasks where a specialized language model can enhance productivity.