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  ---
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- base_model: unsloth/Qwen3-4B-Base
 
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  tags:
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- - text-generation-inference
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  - transformers
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- - unsloth
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  - qwen3
 
 
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  license: apache-2.0
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  language:
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  - en
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  ---
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- # Uploaded finetuned model
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - **Developed by:** Ali-Yaser
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- - **License:** apache-2.0
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- - **Finetuned from model :** unsloth/Qwen3-4B-Base
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
 
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- [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model:
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+ - Qwen/Qwen3-8B
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  tags:
 
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  - transformers
 
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  - qwen3
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+ - R1
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+ - THİNK
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  license: apache-2.0
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  language:
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  - en
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  ---
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+ [<img src="https://i.imgur.com/vo0dm9p.jpeg" width="710"/>]()
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+
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+
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+ # Qwen3-R1 8B 🚀
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+
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+ <div align="center">
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+
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+ [![Model Size](https://img.shields.io/badge/Model%20Size-8B-red)](https://huggingface.co/Ali-Yaser/Qwen3-R1-8B)
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+ [![License](https://img.shields.io/badge/License-Apache%20-green)](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md)
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+ [![Base Model](https://img.shields.io/badge/Base-Qwen3%20-orange)](https://huggingface.co/Qwen/Qwen3-8B)
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+
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+ </div>
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+
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+ ## Model Description
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+
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+ **Qwen3-R1 Series** is a specialized math and reansoning awnsers-focused fine-tuned version of Qwen3-8B Instruct, optimized for Math and hard question tasks.
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+
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+
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+
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+ ## 📊 Model Details
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  - **Developed by:** Ali-Yaser
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+ - **Model type:** GRPO thinker
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+ - **Base Model:** Qwen/Qwen3-8B
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+ - **Model Size:** 8B parameters
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+ - **License:** Apache 2.0
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+ - **Language(s):** English
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+ - **Finetuned from:** Qwen3-8B
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+
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+ ## 🚀 Quick Start
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+
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+ ### Installation
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+ I use a vLLM
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+
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+ ```
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+ # Install vLLM from pip:
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+ pip install vllm
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+ ```
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+
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+ and lets download the model and run model
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+ ```python
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+ # Load and run the model:
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+ vllm serve "Ali-Yaser/Qwen3-R1-8B"
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+ ```
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+ and Run it this is example
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+ #
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+ ```
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+ # Call the server using curl:
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+ curl -X POST "http://localhost:8000/v1/chat/completions" \
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+ -H "Content-Type: application/json" \
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+ --data '{
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+ "model": "Ali-Yaser/Qwen3-R1-8B",
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+ "messages": [
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+ {
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+ "role": "user",
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+ "content": "1+434334434+10x22=?"
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+ }
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+ ]
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+ }'
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+ ```