geeaccount/toolcalling-merged-demo
TEXT GENERATIONConcurrency Cost:1Model Size:2BQuant:BF16Ctx Length:32kPublished:Apr 9, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The geeaccount/toolcalling-merged-demo is a 2 billion parameter Qwen3 causal language model, developed by geeaccount, and fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.
Loading preview...
Overview
The geeaccount/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model. Developed by geeaccount, this model was fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit.
Key Capabilities
- Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x speedup in the training process.
- Qwen3 Architecture: Leverages the robust Qwen3 architecture, providing a strong foundation for various natural language processing tasks.
- General Purpose: Suitable for a range of applications requiring a 2B parameter language model.
Good For
- Developers looking for a Qwen3 model that has undergone efficient fine-tuning.
- Experimentation with models trained using Unsloth's accelerated training techniques.
- General text generation and understanding tasks where a 2B parameter model is appropriate.