31 lines
1.1 KiB
Markdown
31 lines
1.1 KiB
Markdown
---
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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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