bgunlp/qwen3-4b-sft-cot-qd-suff-ordered-16bit-5ep
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kLicense:apache-2.0Architecture:Transformer Open Weights Warm
The bgunlp/qwen3-4b-sft-cot-qd-suff-ordered-16bit-5ep model is a 4 billion parameter Qwen3-based language model developed by bgunlp, fine-tuned from unsloth/Qwen3-4B. It was trained using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Overview
The bgunlp/qwen3-4b-sft-cot-qd-suff-ordered-16bit-5ep is a 4 billion parameter language model developed by bgunlp. It is built upon the Qwen3 architecture, specifically fine-tuned from the unsloth/Qwen3-4B base model.
Key Capabilities
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Qwen3 Architecture: Leverages the robust capabilities of the Qwen3 model family, known for its strong performance across various language understanding and generation tasks.
- General Purpose: Suitable for a wide range of natural language processing applications due to its foundational Qwen3 architecture and supervised fine-tuning.
Good For
- Developers seeking a Qwen3-based model that benefits from optimized training techniques.
- Applications requiring a 4 billion parameter model with a balance of performance and efficiency.
- Experimentation with models fine-tuned using Unsloth for faster iteration cycles.