tzwilliam0/qwen-dapo-17k-vs-6
The tzwilliam0/qwen-dapo-17k-vs-6 is a 4 billion parameter Qwen3-based causal language model, developed by tzwilliam0. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Model Overview
The tzwilliam0/qwen-dapo-17k-vs-6 is a 4 billion parameter language model based on the Qwen3 architecture. It was developed by tzwilliam0 and fine-tuned using a combination of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3-4B-Base. - Efficient Training: Leverages Unsloth for accelerated fine-tuning.
- Parameter Count: Features 4 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a context window of 32768 tokens.
Potential Use Cases
This model is suitable for a variety of general language generation and understanding tasks where the Qwen3 architecture is beneficial. Its efficient training process suggests it could be a good candidate for applications requiring a well-tuned model without extensive computational overhead for development.