Create README.md

README.md

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+---
+library_name: transformers
+tags:
+- gguf
+- llama.cpp
+- ollama
+- reasoning-llm
+license: mit
+datasets:
+- custom/reasoning-dataset-2024v1
+language:
+- en
+base_model:
+- meta-llama/meta-Llama-3.1-8B-Instruct
+pipeline_tag: text-generation
+---
+
+## Model Card for Azzedde/llama3.1-8b-reasoning-grpo-gguf
+
+### Model Details
+**Model Description**  
+This is the GGUF version of **llama3.1-8b-reasoning-grpo**, optimized for complex reasoning and logical inference. The model was converted to **GGUF format** using the `convert-hf-to-gguf.py` script from **llama.cpp**, making it compatible with optimized inference frameworks like **Ollama**.
+
+**Developed by**: Azzedine (GitHub: Azzedde)  
+**Model Type**: Large Language Model (LLM) optimized for reasoning tasks  
+**Language(s) (NLP)**: English  
+**License**: MIT  
+**Converted from**: [Azzedde/llama3.1-8b-reasoning-grpo](https://huggingface.co/Azzedde/llama3.1-8b-reasoning-grpo)
+
+### Model Sources
+**Repository**: [Hugging Face](https://huggingface.co/Azzedde/llama3.1-8b-reasoning-grpo-gguf)  
+**Conversion Script**: `convert-hf-to-gguf.py` (llama.cpp)  
+
+### Uses
+#### Direct Use
+This model is designed for **complex reasoning** and **logical inference**, particularly in:
+- Analytical problem-solving
+- Multi-step deduction
+- Automated reasoning systems
+- Advanced question-answering tasks
+
+#### Downstream Use
+- AI-driven **decision support systems**
+- Multi-step **reasoning chains** in LLM applications
+- **LLM-based tutoring systems**
+
+### How to Use
+#### Using with `llama.cpp`
+Load the GGUF model using `llama.cpp`:
+
+```bash
+# Download the model
+wget https://huggingface.co/Azzedde/llama3.1-8b-reasoning-grpo-gguf/resolve/main/model.gguf
+
+# Run with llama.cpp
+./main -m model.gguf -p "Solve the following logical problem: If all A are B, and some B are C, does it follow that some A are C?"
+```
+
+#### Using with **Ollama**
+You can use this model directly with **Ollama**, which provides a seamless way to interact with GGUF models:
+
+```bash
+ollama run hf.co/Azzedde/llama3.1-8b-reasoning-grpo-gguf
+```
+
+For custom quantization:
+```bash
+ollama run hf.co/Azzedde/llama3.1-8b-reasoning-grpo-gguf:Q8_0
+```
+
+For more details on Ollama usage, refer to [Ollama Docs](https://github.com/ollama/ollama/blob/main/docs/README.md).
+
+### Citation
+**BibTeX:**
+```
+@article{llama3.1-8b-reasoning-grpo-gguf,
+  author    = {Azzedde},
+  title     = {Llama3.1-8B-Reasoning-GRPO-GGUF: A Logical Reasoning LLM in GGUF Format},
+  year      = {2025},
+  url       = {https://huggingface.co/Azzedde/llama3.1-8b-reasoning-grpo-gguf}
+}
+```
+
+**Contact**: [Hugging Face Profile](https://huggingface.co/Azzedde)
+