Tinyalpaca V0.1
TinyLlama is a small language model based on the LLaMA architecture with 1.1 billion parameters, fine-tuned using the alpaca-cleaned dataset.
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Release Time : 11/16/2023
Model Overview
This model is a small language model based on the TinyLlama architecture, suitable for text generation and instruction-following tasks.
Model Features
Compact and Efficient
With only 1.1 billion parameters, it is suitable for deployment in resource-limited environments.
Instruction Fine-tuning
Fine-tuned using the alpaca-cleaned dataset, optimizing instruction-following capabilities.
Multilingual Support
Primarily supports English but also has some multilingual processing capabilities.
Model Capabilities
Text generation
Instruction following
Question answering
Use Cases
Education
Teaching Assistant
Can serve as a teaching aid to answer student questions.
Content Creation
Content Generation
Helps creators generate article drafts or creative content.
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