Stanford Alpaca
An instruction-following LLaMA model
About Stanford Alpaca
Stanford Alpaca is a project that aims to build and share an instruction-following LLaMA (Language Learning Model Archive) model. The project provides the code and data for training Stanford's Alpaca models and generating the necessary data. The model is based on fine-tuning with a large dataset of 52K examples and utilizes the power of GPT-4 based auto-annotators for evaluation.
Key Features
- Instruction-following LLaMA model.
- Code and data for model training.
- Generation of necessary training data.
- Utilizes GPT-4 based auto-annotators for evaluation.
Use Cases
- Natural language instruction understanding.
- Language learning research.
- Instruction-based applications.
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