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.

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Download model

Weights for this model are available in Safetensors format.

Download the model weights from the Files & versions tab.

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Dataset

This model was trained on the 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.

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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' ..."

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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).

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License

The model is released under the LLaMA3 license. Ensure you comply with the license terms before use.

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