20 Txtinstruct | Framework for training instruction-tuned models. | LLM Training and Fine-Tuning | https://github.com/Txtinstruct/Txtinstruct |
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21 Lamini | Integrated LLM inference and tuning platform. | LLM Training and Fine-Tuning | https://github.com/Lamini-AI/lamini |
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22 XTuring | Fast, efficient, and simple fine-tuning of open-source LLMs like Mistral, LLaMA, GPT-J, and more. | LLM Training and Fine-Tuning | https://github.com/stochasticai/xturing |
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23 RL4LMs | Modular RL library to fine-tune language models to human preferences. | LLM Training and Fine-Tuning | https://github.com/allenai/RL4LMs |
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24 DeepSpeed | Deep learning optimization library that makes distributed training and inference easy, efficient, and effective. | LLM Training and Fine-Tuning | https://github.com/microsoft/DeepSpeed |
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25 Torchtune | PyTorch-native library specifically designed for fine-tuning LLMs. | LLM Training and Fine-Tuning | https://github.com/torchtune/torchtune |
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26 PyTorch Lightning | High-level interface for pretraining and fine-tuning LLMs. | LLM Training and Fine-Tuning | https://github.com/Lightning-AI/lightning |
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27 LangChain | A framework for developing applications powered by large language models (LLMs). | LLM Application Development | https://github.com/hwchase17/langchain |
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| 28Llama Index | A data framework for your LLM applications. | LLM Application Development | https://github.com/run-llama/llama_index |
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| 29HayStack | An end-to-end LLM framework that allows you to build applications powered by LLMs, Transformer models, vector search, and more. | LLM Application Development | https://github.com/deepset-ai/haystack |
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