ahj3859/toolcalling-merged-demo
ahj3859/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model developed by ahj3859, fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a 32768 token context length, it is optimized for efficient processing and generation tasks.
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Model Overview
ahj3859/toolcalling-merged-demo is a 2 billion parameter Qwen3-based language model, fine-tuned by ahj3859. It was developed from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit base model, leveraging the Unsloth library and Huggingface's TRL for training. This approach facilitated a 2x faster training process compared to standard methods.
Key Characteristics
- Architecture: Based on the Qwen3 family of models.
- Parameter Count: 2 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, suitable for handling longer inputs and maintaining conversational coherence.
- Training Efficiency: Utilizes Unsloth for accelerated fine-tuning, demonstrating efficient resource usage.
Potential Use Cases
This model is well-suited for applications requiring a capable language model with a large context window, particularly where training efficiency is a consideration. Its Qwen3 foundation suggests strong general language understanding and generation capabilities.