Overview

The thetmon/c2 model is a LoRA adapter, specifically fine-tuned from the Qwen/Qwen3-4B-Instruct-2507 base model. It leverages QLoRA (4-bit quantization with Unsloth) to provide enhanced capabilities while maintaining a compact size. This repository contains only the LoRA adapter weights, meaning the base model must be loaded separately.

Key Capabilities

• Improved Structured Output: The primary objective of this adapter is to significantly boost the accuracy of structured data generation. It excels at producing well-formed JSON, YAML, XML, TOML, and CSV outputs.
• Targeted Training: The training methodology focuses loss application exclusively on the final assistant output, effectively masking intermediate Chain-of-Thought reasoning to optimize for direct, structured responses.
• Efficient Fine-tuning: Trained using QLoRA with 4-bit quantization, it offers an efficient way to adapt the base model for specific tasks.

Good For

• API Development: Generating precise JSON or XML responses for API endpoints.
• Configuration Files: Creating or modifying YAML/TOML configuration files programmatically.
• Data Export/Import: Producing accurate CSV data for various applications.
• Automated Data Processing: Any use case requiring reliable and structured text output from a language model.