jeongwon8694/toolcalling-merged-demo
The jeongwon8694/toolcalling-merged-demo is a 2 billion parameter Qwen3-based instruction-tuned causal language model developed by jeongwon8694, fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language understanding and generation tasks, leveraging its Qwen3 architecture for robust performance.
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Model Overview
The jeongwon8694/toolcalling-merged-demo is a 2 billion parameter language model developed by jeongwon8694. It is based on the Qwen3 architecture and was fine-tuned from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit model. This model leverages the Unsloth library, which facilitated a 2x faster training process, in conjunction with Huggingface's TRL library.
Key Characteristics
- Architecture: Qwen3-based, providing a strong foundation for various NLP tasks.
- Parameter Count: 2 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Fine-tuned with Unsloth, significantly reducing training time.
- License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.
Potential Use Cases
- General Language Tasks: Suitable for a wide range of applications requiring text generation, summarization, and question answering.
- Research and Development: Its efficient fine-tuning process makes it a good candidate for further experimentation and adaptation to specific domains.
- Educational Purposes: Can be used as a base model for learning about efficient LLM fine-tuning techniques.