Adzpro/qwen3vl-medner-vi-merged
Adzpro/qwen3vl-medner-vi-merged is a 4.5 billion parameter Qwen3.5-based causal language model developed by Adzpro. 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 Qwen3.5 architecture for efficient performance.
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Model Overview
Adzpro/qwen3vl-medner-vi-merged is a 4.5 billion parameter language model developed by Adzpro. It is based on the Qwen3.5 architecture and was fine-tuned from the Qwen/Qwen3.5-4B model. This model benefits from an optimized training process, having been trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Base Model: Qwen3.5-4B, providing a robust foundation for language understanding and generation.
- Parameter Count: 4.5 billion parameters, offering a balance between performance and computational efficiency.
- Training Optimization: Utilizes Unsloth for accelerated fine-tuning, significantly reducing training time.
- Context Length: Supports a context window of 32768 tokens, allowing for processing longer inputs and generating more coherent outputs.
Use Cases
This model is suitable for a variety of general language processing tasks where the Qwen3.5 architecture's capabilities are beneficial. Its efficient training process makes it a good candidate for applications requiring a fine-tuned model with faster iteration cycles.