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.