nityaak/qwen3-4b-stance-matrix-mtcsd-ezstance-qlora
The nityaak/qwen3-4b-stance-matrix-mtcsd-ezstance-qlora model is a Qwen3-based language model developed by nityaak, fine-tuned from unsloth/Qwen3-4B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for specific tasks related to stance detection, leveraging its Qwen3 architecture for efficient processing.
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Model Overview
The nityaak/qwen3-4b-stance-matrix-mtcsd-ezstance-qlora is a specialized Qwen3-based language model developed by nityaak. It has been fine-tuned from the unsloth/Qwen3-4B-unsloth-bnb-4bit base model, indicating an efficient training process.
Key Characteristics
- Base Model: Qwen3-4B, a robust foundation for language understanding.
- Training Efficiency: Leverages Unsloth and Huggingface's TRL library, resulting in a 2x speedup during the fine-tuning process.
- Developer: nityaak.
- License: Distributed under the Apache-2.0 license.
Primary Use Case
This model is specifically fine-tuned for tasks related to stance detection, as suggested by its name components "stance-matrix" and "ezstance". Its optimized training makes it suitable for applications requiring efficient processing in this domain.