---
base_model: unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
- grpo
- qwen2.5
license: other
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE
language:
- tr
---

# 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
```python
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/