Model Overview

The zamanayaz/qwen2.5_0.5b_langjson_finetune_16bit is a specialized language model developed by zamanayaz, fine-tuned from the unsloth/Qwen2.5-0.5B-Instruct base. This model is designed with a singular focus: language detection, specifically for English and Roman Urdu.

Key Capabilities

• Language Detection: Primarily functions as a language detection assistant.
• JSON Output: Responds exclusively in a structured JSON format, indicating the detected language (e.g., {"language":"english"} or {"language":"roman_urdu"}).
• Optimized Training: Leverages Unsloth and Huggingface's TRL library for accelerated training, resulting in 2x faster fine-tuning.
• System Prompt: Utilizes a strict system prompt: "You are a language detection assistant. Respond only in JSON: {"language":"english"} or {"language":"roman_urdu"}."

When to Use This Model

This model is ideal for applications requiring:

• Automated Language Identification: Specifically for distinguishing between English and Roman Urdu.
• Structured Output: When downstream systems require language detection results in a consistent JSON format.
• Lightweight Deployment: Its 0.5 billion parameter size makes it suitable for environments where computational resources are a consideration.