pkarypis/phi2-lima
pkarypis/phi2-lima is a 3 billion parameter causal language model, fine-tuned by pkarypis from Microsoft's Phi-2 architecture. It was trained on the GAIR/lima dataset, which focuses on high-quality, instruction-following data. This model is primarily intended for instruction-following tasks, leveraging its training on a curated dataset to generate coherent and contextually relevant responses.
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Overview
pkarypis/phi2-lima is a 3 billion parameter language model, fine-tuned from the base microsoft/phi-2 architecture. This model was specifically trained on the GAIR/lima dataset, which is known for its focus on high-quality instruction-following examples. The fine-tuning process aimed to enhance the model's ability to understand and execute instructions effectively.
Key Capabilities
- Instruction Following: Optimized for generating responses that adhere to given instructions.
- Compact Size: At 3 billion parameters, it offers a balance between performance and computational efficiency.
- Base Model Heritage: Benefits from the strong foundational capabilities of the Microsoft Phi-2 model.
Good for
- Applications requiring a smaller, efficient model for instruction-based tasks.
- Scenarios where generating accurate and contextually appropriate responses to prompts is crucial.
- Research and development focusing on instruction-tuned models within the 3B parameter class.