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add LLaMA-Factory
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README.md

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@@ -439,6 +439,7 @@ Please review our [CONTRIBUTING.md](https://github.com/EthicalML/awesome-product
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* [LangChain](https://github.com/langchain-ai/langchain) ![](https://img.shields.io/github/stars/langchain-ai/langchain.svg?style=social) - LangChain assists in building applications with LLMs through composability.
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* [LlamaIndex](https://github.com/run-llama/llama_index) ![](https://img.shields.io/github/stars/run-llama/llama_index.svg?style=social) - LlamaIndex (GPT Index) is a data framework for your LLM application.
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* [LLaMA](https://github.com/meta-llama/llama) ![](https://img.shields.io/github/stars/meta-llama/llama.svg?style=social) - LLaMA is intended as a minimal, hackable and readable example to load LLaMA (arXiv) models and run inference.
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* [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) ![](https://img.shields.io/github/stars/hiyouga/LLaMA-Factory.svg?style=social) - LLaMA-Factory makes it easy to fine-tunes 100+ large language models with zero-code CLI and Web UI
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* [LLMBox](https://github.com/Alpha-VLLM/LLaMA2-Accessory) ![](https://img.shields.io/github/stars/Alpha-VLLM/LLaMA2-Accessory.svg?style=social) - LLMBox is a comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.
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* [LLaMA2-Accessory](https://github.com/RUCAIBox/LLMBox) ![](https://img.shields.io/github/stars/RUCAIBox/LLMBox.svg?style=social) - LLaMA2-Accessory is an open-source toolkit for pretraining, finetuning and deployment of Large Language Models (LLMs) and multimodal LLMs.
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* [LMFlow](https://github.com/OptimalScale/LMFlow) ![](https://img.shields.io/github/stars/OptimalScale/LMFlow.svg?style=social) - LMFlow is an extensible, convenient, and efficient toolbox for finetuning large machine learning models.

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