--- base_model: unsloth/meta-llama-3.1-8b-bnb-4bit tags: - text-generation-inference - transformers - unsloth - llama - trl license: apache-2.0 language: - en - ar datasets: - Abdulrhman37/metallurgy-qa pipeline_tag: text2text-generation --- # Fine-Tuned Llama Model for Metallurgy and Materials Science - **Developed by:** Abdulrhman37 - **License:** [Apache-2.0](https://opensource.org/licenses/Apache-2.0) - **Base Model:** [unsloth/meta-llama-3.1-8b-bnb-4bit](https://huggingface.co/unsloth/meta-llama-3.1-8b-bnb-4bit) This fine-tuned Llama model specializes in **metallurgy, materials science, and engineering**. It has been enhanced to provide precise and detailed responses to technical queries, making it a valuable tool for professionals, researchers, and enthusiasts in the field. --- ## 🛠️ Training Details This model was fine-tuned with: - **[Unsloth](https://github.com/unslothai/unsloth):** Enabled 2x faster training using efficient parameter optimization. - **[Hugging Face TRL](https://huggingface.co/transformers/main_classes/trainer.html):** Used for advanced fine-tuning and training capabilities. Fine-tuning focused on enhancing domain-specific knowledge using a dataset curated from various metallurgical research and practical case studies. --- ## 🔑 Features - Supports **text generation** with scientific and technical insights. - Provides **domain-specific reasoning** with references to key metallurgical principles and mechanisms. - Built for fast inference with **bnb-4bit quantization** for optimized performance. --- ## 🌟 Example Use Cases - **Material property analysis** (e.g., "How does adding rare earth elements affect magnesium alloys?"). - **Failure mechanism exploration** (e.g., "What causes porosity in gas metal arc welding?"). - **Corrosion prevention methods** (e.g., "How does cathodic protection work in marine environments?"). --- ## 📦 How to Use follow this [notebook](https://colab.research.google.com/drive/1pRNcAtybNF6w6mE1ZReFwfrIujZ5_t4S#scrollTo=wk4fCWOl0Ocd) for help to use the model ## 📧 Contact For any inquiries, feedback, or collaboration opportunities, feel free to reach out: - Email: [abdodebo3@gmail.com](mailto:abdodebo3@gmail.com) - [LinkedIn](https://www.linkedin.com/in/abdulrahman-eldeeb-8b4621253/) - [GitHub](https://github.com/AdbulrhmanEldeeb) - Phone: +20 1026821545 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth)