gshao/qwen3-4b-reasoning-16bit
The gshao/qwen3-4b-reasoning-16bit is a 4 billion parameter Qwen3-based language model developed by gshao, finetuned from unsloth/Qwen3-4B-Base. This model was trained using Unsloth and Huggingface's TRL library, emphasizing faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.
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Model Overview
The gshao/qwen3-4b-reasoning-16bit is a 4 billion parameter language model, finetuned by gshao. It is based on the Qwen3 architecture, specifically starting from the unsloth/Qwen3-4B-Base model.
Key Characteristics
- Base Model: Finetuned from
unsloth/Qwen3-4B-Base. - Parameter Count: 4 billion parameters.
- Training Efficiency: This model was trained with a focus on speed, utilizing Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to conventional methods.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
This model is suitable for various natural language processing tasks where a 4 billion parameter model provides a good balance between performance and computational efficiency. Its efficient training process suggests it could be a good candidate for applications requiring rapid iteration or deployment on resource-constrained environments.