Vincent1978/toolcalling-merged-demo
TEXT GENERATIONConcurrency Cost:1Model Size:2BQuant:BF16Ctx Length:32kPublished:Apr 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Vincent1978/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model developed by Vincent1978. This model is fine-tuned for tool-calling capabilities, leveraging Unsloth and Huggingface's TRL library for accelerated training. It offers a 32768 token context length, making it suitable for applications requiring efficient function calling and interaction with external tools.
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Model Overview
Vincent1978/toolcalling-merged-demo is a 2 billion parameter Qwen3-based language model, fine-tuned by Vincent1978. It was developed using the Unsloth library, which enabled 2x faster training, and Huggingface's TRL library. The model is specifically designed with a 32768 token context length.
Key Capabilities
- Tool Calling: Optimized for understanding and executing tool-use instructions.
- Efficient Training: Benefits from Unsloth's accelerated training methods.
- Extended Context: Supports a 32768 token context window for complex interactions.
Good For
- Applications requiring robust function calling.
- Integrating language models with external APIs and tools.
- Developing agents that can interact with their environment.