qforge/Qwen3-14B-AT
qforge/Qwen3-14B-AT is a 14 billion parameter Qwen3-based language model, fine-tuned by qforge on the AsyncTool dataset. This model specializes in asynchronous tool execution, enabling AI agents to manage and respond to external API calls, database queries, and long-running computations that return results with variable latency. It implements a robust async protocol for non-blocking interactions, making it ideal for building responsive, real-world AI agents.
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Overview
qforge/Qwen3-14B-AT is a 14 billion parameter model, fine-tuned from unsloth/Qwen3-14B-unsloth-bnb-4bit using the AsyncTool dataset. Its core innovation lies in handling asynchronous tool execution, a crucial feature for real-world AI agents that interact with external services with variable response times.
Key Capabilities
- Asynchronous Tool Execution: Manages tool calls that don't return results immediately, allowing for non-blocking agent interactions.
- Robust Async Protocol: Implements a specific protocol involving
Tool Call,ACK (Acknowledgment),Processing, andRESPONSEto ensure smooth asynchronous workflows. - Responsive Agent Building: Designed to enable AI agents to provide interim responses while waiting for tool results, enhancing user experience.
- Optimized Training: Fine-tuned using Unsloth and Huggingface's TRL library, resulting in faster training.
Good For
- Developers building AI agents that need to interact with external APIs, databases, or long-running computations.
- Scenarios requiring responsive user experiences where tools might have variable latency.
- Integrating with platforms like Pipecat, with which it has demonstrated compatibility and native behavior support.