Atica57/toolcalling-merged-demo

TEXT GENERATIONConcurrency Cost:1Model Size:2BQuant:BF16Ctx Length:32kPublished:Apr 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

Atica57/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model developed by Atica57, finetuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology.

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Model Overview

Atica57/toolcalling-merged-demo is a 2 billion parameter Qwen3-based language model, developed by Atica57 and licensed under Apache-2.0. It was finetuned from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit base model.

Key Characteristics

  • Efficient Training: This model was trained significantly faster, achieving a 2x speedup, by utilizing the Unsloth library in conjunction with Huggingface's TRL library.
  • Base Architecture: Built upon the Qwen3 architecture, providing a solid foundation for various language understanding and generation tasks.

Use Cases

This model is suitable for applications requiring a compact yet capable language model, particularly where training efficiency is a priority. Its Qwen3 base suggests applicability across a range of general-purpose NLP tasks.

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