thetmon/c10
thetmon/c10 is a 4 billion parameter LoRA adapter fine-tuned from Qwen3-4B-Instruct-2507, developed by thetmon. This adapter specializes in improving multi-turn agent task performance, particularly in household tasks (ALFWorld) and database operations (DBBench). It enhances the base model's ability to learn environment observation, action selection, tool use, and error recovery in complex, multi-turn interactions, making it suitable for agentic AI applications.
Loading preview...
Overview
thetmon/c10 is a LoRA adapter (r=64, alpha=128) specifically fine-tuned from the Qwen/Qwen3-4B-Instruct-2507 base model. Developed by thetmon, this 4 billion parameter adapter focuses on enhancing the base model's capabilities for complex, multi-turn agent tasks. It leverages LoRA with Unsloth for efficient training.
Key Capabilities
- Multi-turn Agent Performance: Significantly improves the model's ability to handle sequential, interactive tasks.
- Task Specialization: Optimized for household tasks (ALFWorld) and database operations (DBBench).
- Learning Trajectories: Trained to learn from all assistant turns in a multi-turn trajectory, covering environment observation, action selection, tool use, and error recovery.
Good for
- Developing AI agents that require robust multi-turn interaction.
- Applications involving complex task execution in simulated environments.
- Scenarios where models need to learn from and adapt to environmental feedback over multiple steps.
This adapter provides specialized performance for agentic workflows by focusing on the nuances of multi-turn interactions, making it a strong candidate for developing intelligent agents.