Kongongong/Wllama_8B_physics
WLLama 8B Physics Model
Model description
Built with Meta Llama 3 (Fine tuning with Qlora)
This model is based on WangchanX Fine-tuning Pipeline.
The WLLama 8B Physics Model is a large language model fine-tuned specifically for physics-related tasks using the Thai-Physics-Data-40K dataset. It is designed to solve problems, explain concepts, and assist in education and research in physics, with a focus on Thai language content. Based on the LaMA-8B architecture, this model excels in providing detailed answers and generating educational material for physics learners and professionals.
Key Features:
- Physics Expertise: Fine-tuned for a wide range of topics such as mechanics, quantum physics, thermodynamics, and more.
- Thai Language Support: Optimized for Thai, making it ideal for students and researchers in Thai-speaking communities.
- Educational Applications: Perfect for tutoring, problem-solving, and content generation.
Download model
Weights for this model are available in Safetensors format.
Download the model weights from the Files & versions tab.
Dataset
This model was trained on the [Thai-Physics-Data-40K](https://huggingface.co/datasets/Kongongong/Thai-Physics-Data-40K) dataset, which contains 40,000 high-quality entries, including:
- Multiple-choice questions with detailed explanations.
- Numerical problems with step-by-step solutions.
- Conceptual explanations of physics topics.
The dataset is designed to provide a balanced and comprehensive learning resource for physics education in the Thai language.
Intended Use
This model is intended for:
- Physics Education: Assisting students in solving problems and understanding concepts.
- Content Creation: Generating questions, solutions, and explanations for physics educators.
- Research Assistance: Providing insights and theoretical explanations for researchers.
Example Usage:
Input prompt:
"จงอธิบายกฎของนิวตันข้อที่สาม"
Generated output:
"กฎของนิวตันข้อที่สามกล่าวว่า 'ทุกแรงกิริยาจะมีแรงปฏิกิริยาที่มีขนาดเท่ากันแต่ทิศทางตรงข้าม' ..."
Limitations
- Language Bias: Primarily optimized for Thai; may underperform for non-Thai inputs.
- Accuracy: Model outputs should be verified for correctness, particularly in high-stakes or research scenarios.
- Compute Requirements: Requires high-memory GPUs for inference due to its size (8 billion parameters).
License
The model is released under the LLaMA3 license. Ensure you comply with the license terms before use.
