Model Card: LLM-PBE-FineTuned-FakeData
Model Details
- Model Name: LLM-PBE-FineTuned-DynamicData
- Creator: SanjanaCodes
- Language: English
Description This model is a fine-tuned LLM trained on synthetic (fake) data for research purposes. It’s designed to help understand model behavior and the impact of fine-tuning with controlled, artificial datasets. This model should not be used for real-world applications due to its limited real-world relevance.
Intended Use
- Research: Fine-tuning experiments, synthetic data evaluation.
- Educational: Suitable for controlled testing and benchmarking.
Limitations
- Performance: May lack contextual accuracy and depth outside synthetic data contexts.
- Generalization: Best suited for synthetic data scenarios rather than practical applications.
Acknowledgments Trained at NYU Tandon DICE Lab under Professor Chinmay Hegde & Niv Cohen
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no library tag.
Model tree for SanjanaCodes/LLM-PBE-FineTuned-DynamicData
Base model
LLM-PBE/Llama3.1-8b-instruct-LLMPC-Blue-Team