TurkishReasoner-Qwen2.5-3B

TurkishReasoner-Qwen2.5-3B

Model Description

TurkishReasoner-Qwen2.5-3B is a mid-sized Turkish reasoning model built on Qwen's efficient Qwen2.5-3B foundation. This model provides an excellent balance between performance and computational efficiency, delivering structured reasoning capabilities in Turkish while requiring moderate resources for deployment.

Key Features

• Built on Qwen's efficient 3B parameter architecture
• Specialized for Turkish reasoning with structured output format
• Excellent balance between performance and resource requirements
• Strong support for structured data and structured outputs
• Enhanced instruction following for reasoning tasks
• Support for multilingual context with Turkish optimization

Technical Specifications

• Base Model: Qwen/Qwen2.5-3B
• Parameters: 3.09 billion
• Input: Text
• Hardware Requirements: ~8GB VRAM
• Training Infrastructure: NVIDIA T4 GPU

Usage

This model is ideal for applications requiring solid reasoning in Turkish with moderate computational resources:

• Educational applications requiring detailed problem-solving
• Mid-tier deployment environments with limited GPU resources
• Applications balancing reasoning quality with efficiency requirements
• Development and prototyping of reasoning-intensive applications

Example Usage

from transformers import pipeline

pipe = pipeline("text-generation", model="Chan-Y/TurkishReasoner-Qwen2.5-3B", device=0)

messages = [
    {"role": "system", "content": """Sen kullanıcıların isteklerine Türkçe cevap veren bir asistansın ve sana bir problem verildi.
Problem hakkında düşün ve çalışmanı göster.
Çalışmanı <start_working_out> ve <end_working_out> arasına yerleştir.
Sonra, çözümünü <SOLUTION> ve </SOLUTION> arasına yerleştir.
Lütfen SADECE Türkçe kullan."""},
    {"role": "user", "content": "121'in karekökü kaçtır?"},
]

response = pipe(messages)
print(response)

For more information or assistance with this model, please contact the developers:

• Cihan Yalçın: https://www.linkedin.com/in/chanyalcin/
• Şevval Nur Savcı: https://www.linkedin.com/in/%C5%9Fevval-nur-savc%C4%B1/