beaur8/toolcalling-merged-demo
The beaur8/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model developed by beaur8, fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was specifically trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language understanding and generation tasks, leveraging its Qwen3 architecture for efficient performance.
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Overview
The beaur8/toolcalling-merged-demo is a 2 billion parameter language model based on the Qwen3 architecture. Developed by beaur8, this model was fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Qwen3-based causal language model.
- Parameter Count: 2 billion parameters.
- Training Efficiency: Leverages Unsloth and Huggingface's TRL library for 2x faster training compared to standard methods.
- Context Length: Supports a context length of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of natural language processing tasks, particularly those benefiting from its efficient training methodology and the capabilities of the Qwen3 base model. Its 32K context window makes it well-suited for applications requiring processing longer inputs or generating more extensive outputs.