初始化项目，由ModelHub XC社区提供模型

Model: ShadowFall09/FANNO
Source: Original Platform

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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.

config.json

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+  "architectures": [
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+  ],
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+  "model_type": "llama",
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+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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+  "transformers_version": "4.37.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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