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

Model Sources

Repository: Hugging Face
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:

ollama run hf.co/Azzedde/llama3.1-8b-reasoning-grpo-gguf

For custom quantization:

ollama run hf.co/Azzedde/llama3.1-8b-reasoning-grpo-gguf:Q8_0

For more details on Ollama usage, refer to Ollama Docs.

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

Azzedde/llama3.1-8b-reasoning-grpo-gguf

Model Card for Azzedde/llama3.1-8b-reasoning-grpo-gguf

Model Details