初始化项目，由ModelHub XC社区提供模型

Model: ShadowFall09/FANNO
Source: Original Platform

README.md

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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.