karthiklnagar16/grpo-Qwen-4B_16bit
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Apr 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The karthiklnagar16/grpo-Qwen-4B_16bit is a 4 billion parameter Qwen3-based causal language model developed by karthiklnagar16. It was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general language understanding and generation tasks, leveraging its efficient training methodology for practical deployment.
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Overview
The karthiklnagar16/grpo-Qwen-4B_16bit is a 4 billion parameter language model based on the Qwen3 architecture. Developed by karthiklnagar16, this model was finetuned from unsloth/Qwen3-4B-Base using a highly efficient training methodology.
Key Capabilities
- Efficient Training: This model was trained 2x faster by leveraging the Unsloth library in conjunction with Huggingface's TRL library, making it a practical choice for developers seeking optimized training workflows.
- Qwen3 Architecture: Benefits from the robust capabilities of the Qwen3 base model, suitable for a wide range of natural language processing tasks.
Good for
- Applications requiring a moderately sized language model (4B parameters).
- Developers interested in models finetuned with efficient training techniques like Unsloth.
- General text generation and understanding tasks where the Qwen3 architecture is suitable.