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library_name: transformers |
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license: apache-2.0 |
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--- |
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# FANNO |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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Based on LlaMA2-7b. |
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### Model Description |
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instruction-finetuning |
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autonomous-framework |
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data-annotation |
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FANNO is an innovative, fully autonomous, open-sourced framework designed to streamline the annotation process for instruction datasets without requiring pre-existing annotated data. Leveraging the capabilities of the Mistral-7b-instruct model, FANNO efficiently generates diverse and high-quality datasets through a structured process that includes document pre-screening, instruction generation, and response generation. |
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### Key Features |
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Autonomous Annotation: Eliminates the need for manual annotations or costly API calls of proprietary LLMs, making the annotation process cost-effective and efficient. |
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High-Quality Data Generation: Produces datasets with diversity and complexity that are comparable to human-annotated or cleaned datasets, such as Alpaca-GPT4-Cleaned. |
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Open-Sourced Framework: Fully open-sourced, allowing the community to leverage and contribute to the ongoing improvement of the framework. |
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