The nvdpsingh/qwen3-8b-financial-toolcall-merged is an 8 billion parameter Qwen3 model, developed by nvdpsingh, and fine-tuned from unsloth/Qwen3-8B-bnb-4bit. This model was optimized for training speed using Unsloth and Huggingface's TRL library. It is specifically designed for financial tool-calling applications, leveraging its 32768 token context length for complex financial tasks.
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Model Overview
The nvdpsingh/qwen3-8b-financial-toolcall-merged is an 8 billion parameter Qwen3 language model, developed by nvdpsingh. It has been fine-tuned from the unsloth/Qwen3-8B-bnb-4bit base model, leveraging a 32768 token context length.
Key Characteristics
- Architecture: Qwen3 family, 8 billion parameters.
- Training Optimization: Fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training.
- Developer: nvdpsingh.
- License: Apache-2.0.
Primary Use Case
This model is specifically tailored for financial tool-calling applications. Its fine-tuning and architecture make it suitable for tasks requiring interaction with external tools or APIs within a financial context, benefiting from its efficient training and substantial context window.