yassin165/qwen
The yassin165/qwen model is a 4 billion parameter Qwen3-based causal language model, developed by yassin165. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging its efficient training methodology.
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Overview
This model, developed by yassin165, is a 4 billion parameter variant of the Qwen3 architecture. It was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library, which significantly accelerated its training process by a factor of two.
Key Characteristics
- Base Model: Qwen3
- Parameter Count: 4 billion
- Training Efficiency: Fine-tuned with Unsloth for 2x faster training.
- License: Apache-2.0
Use Cases
This model is suitable for various natural language processing tasks where a 4 billion parameter model provides a balance between performance and computational efficiency. Its optimized training process suggests it could be a good candidate for applications requiring rapid iteration or deployment.