jaydenmao/qwen3-32b-toolace-function-calling
The jaydenmao/qwen3-32b-toolace-function-calling model is a 32 billion parameter Qwen3-based language model developed by jaydenmao. Finetuned from unsloth/Qwen3-32B-unsloth-bnb-4bit, this model was trained using Unsloth and Huggingface's TRL library for accelerated finetuning. It is designed for function calling applications, leveraging its Qwen3 architecture and 32768 token context length.
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Model Overview
The jaydenmao/qwen3-32b-toolace-function-calling model is a 32 billion parameter language model developed by jaydenmao. It is finetuned from the unsloth/Qwen3-32B-unsloth-bnb-4bit base model, leveraging the Qwen3 architecture.
Key Characteristics
- Accelerated Finetuning: This model was finetuned significantly faster using the Unsloth library in conjunction with Huggingface's TRL library.
- Parameter Count: Features 32 billion parameters, providing substantial capacity for complex tasks.
- Context Length: Supports a context length of 32768 tokens, enabling processing of longer inputs and maintaining conversational coherence over extended interactions.
Primary Use Case
This model is specifically designed and optimized for function calling applications, making it suitable for scenarios where an LLM needs to interact with external tools or APIs by generating structured function calls based on user prompts.