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  1. GPU-sanghathan GPU-sanghathan Public

    Small scale distributed training of sequential deep learning models, built on Numpy and MPI.

    Python 3

  2. axolotl-ai-cloud/axolotl axolotl-ai-cloud/axolotl Public

    Go ahead and axolotl questions

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  3. Quanta Quanta Public

    "Efficient and scalable solutions for PyTorch, enabling large language model quantization with k-bit precision for enhanced accessibility.

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  4. bitsandbytes-foundation/bitsandbytes bitsandbytes-foundation/bitsandbytes Public

    Accessible large language models via k-bit quantization for PyTorch.

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  5. CUDA_MLpapers CUDA_MLpapers Public

    ML papers Implementation

    Python 3

  6. huggingface/transformers huggingface/transformers Public

    🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

    Python 154k 31.6k