zzmini/toolcalling-merged-demo
The zzmini/toolcalling-merged-demo is a 2 billion parameter Qwen3-based language model developed by zzmini, 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. With a 32768 token context length, it is designed for efficient processing and generation tasks.
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Model Overview
The zzmini/toolcalling-merged-demo is a 2 billion parameter language model, fine-tuned by zzmini. It is based on the Qwen3 architecture, specifically building upon the unsloth/Qwen3-1.7B-unsloth-bnb-4bit model.
Key Characteristics
- Architecture: Qwen3-based, fine-tuned from a 1.7B parameter variant.
- Parameter Count: 2 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitates faster training processes.
Potential Use Cases
This model is suitable for applications requiring a compact yet capable language model with a large context window. Its efficient training methodology suggests it could be a good candidate for:
- Rapid Prototyping: Leveraging the faster training from Unsloth for quick iteration cycles.
- Resource-Constrained Environments: Its 2B parameter size makes it more accessible than larger models.
- General Language Tasks: Capable of handling various text generation and understanding tasks given its Qwen3 base and substantial context length.