Omthakur1394/qwen-coder-finetuned
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:May 27, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
Omthakur1394/qwen-coder-finetuned is a 7.6 billion parameter Qwen2-based language model developed by Omthakur1394. This model is specifically fine-tuned for coding tasks, leveraging the Qwen2.5-Coder-7B-bnb-4bit base model. It was trained using Unsloth and Huggingface's TRL library, optimizing its performance for code generation and related applications.
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Model Overview
Omthakur1394/qwen-coder-finetuned is a 7.6 billion parameter language model, developed by Omthakur1394. It is built upon the Qwen2 architecture and specifically fine-tuned from the unsloth/Qwen2.5-Coder-7B-bnb-4bit base model. This fine-tuning process utilized Unsloth and Huggingface's TRL library, which enabled faster training.
Key Capabilities
- Code-centric Fine-tuning: Optimized for tasks related to code generation and understanding, stemming from its
Coderbase model. - Efficient Training: Benefits from the Unsloth library for accelerated training, suggesting potential for efficient deployment or further fine-tuning.
- Qwen2 Architecture: Leverages the robust capabilities of the Qwen2 model family.
Good For
- Developers and researchers focused on code generation.
- Applications requiring a specialized model for programming tasks.
- Experimentation with models trained using Unsloth for efficiency.