achklis/toolcalling-merged-demo
The achklis/toolcalling-merged-demo is a 2 billion parameter Qwen3 model developed by achklis, fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, resulting in 2x faster training. With a 32768 token context length, it is optimized for tool-calling applications.
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Model Overview
The achklis/toolcalling-merged-demo is a 2 billion parameter Qwen3 model developed by achklis, fine-tuned from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit base model. It leverages the Qwen3 architecture and has a substantial context length of 32768 tokens.
Key Characteristics
- Architecture: Qwen3, a causal language model.
- Parameter Count: 2 billion parameters.
- Context Length: Supports up to 32768 tokens, enabling processing of longer inputs and complex instructions.
- Training Efficiency: The model was trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized fine-tuning process.
Use Cases
This model is particularly well-suited for applications requiring tool-calling capabilities, given its name and fine-tuning focus. Its large context window also makes it suitable for tasks that involve processing extensive conversational histories or detailed instructions for tool use. The efficient training methodology suggests it could be a good candidate for further fine-tuning on specific domain-specific toolsets.