---
base_model: unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- grpo
license: llama3.1
language:
- tr
---

# TurkishReasoner-Llama3.1-8B

## Model Description
TurkishReasoner-Llama8B leverages Meta's powerful Llama3.1-8B foundation model to deliver sophisticated reasoning capabilities in Turkish. Fine-tuned using GRPO techniques, this model excels at multistep reasoning processes with particular strength in mathematical problem-solving and logical deduction.

## Key Features
- Built on Meta's advanced Llama3.1-8B foundation
- Optimized for Turkish reasoning tasks with structured output
- Balanced performance-to-resource ratio (8B parameters)
- Strong multilingual understanding with Turkish specialization
- Trained using Group Relative Policy Optimization (GRPO)
- Clear step-by-step reasoning with formatted solutions

## Technical Specifications
- Base Model: Meta/Llama3.1-8B
- Parameters: 8 billion
- Input: Text
- Hardware Requirements: ~16GB VRAM
- Training Infrastructure: NVIDIA Ada6000 GPU

## Usage
This model is well-suited for a variety of Turkish reasoning applications:
- Educational platforms requiring detailed explanations
- Research tools analyzing complex problem-solving approaches
- Development of Turkish-language assistants with robust reasoning
- Applications requiring balanced performance and efficiency

## Example Usage
```python
from transformers import pipeline

pipe = pipeline("text-generation", model="Chan-Y/TurkishReasoner-Llama3.1-8B", 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/