tzwilliam0/qwen-dapo-17k-vs-5
The tzwilliam0/qwen-dapo-17k-vs-5 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 2x 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-5 is a 4 billion parameter language model based on the Qwen3 architecture. It was developed by tzwilliam0 and fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Base Model: Qwen3-4B-Base
- Parameter Count: 4 billion parameters
- Context Length: 32768 tokens
- Training Efficiency: Achieved 2x faster fine-tuning through the use of Unsloth, a library known for optimizing training speed.
Potential Use Cases
This model is suitable for a variety of general natural language processing tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Its 32k context length allows for processing longer inputs and generating more coherent, extended responses.