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---
library_name: transformers
license: apache-2.0
---
# FANNO
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
Based on LlaMA2-7b.
### Model Description
instruction-finetuning
autonomous-framework
data-annotation
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.
### Key Features
Autonomous Annotation: Eliminates the need for manual annotations or costly API calls of proprietary LLMs, making the annotation process cost-effective and efficient.
High-Quality Data Generation: Produces datasets with diversity and complexity that are comparable to human-annotated or cleaned datasets, such as Alpaca-GPT4-Cleaned.
Open-Sourced Framework: Fully open-sourced, allowing the community to leverage and contribute to the ongoing improvement of the framework.
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