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Achievement: Pull SharkAchievement: Starstruck

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Achievement: Pull SharkAchievement: Starstruck

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  1. Basic-UI-for-GPT-J-6B-with-low-vram Basic-UI-for-GPT-J-6B-with-low-vram Public

    A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

    Jupyter Notebook 114 12

  2. Basic-UI-for-GPT-Neo-with-low-vram Basic-UI-for-GPT-Neo-with-low-vram Public

    A basic ui for running gpt neo 2.7B on low vram (3 gb Vram minimum)

    Jupyter Notebook 36 5

  3. Temporal-Neuron-Variance-Pruning-Demo Temporal-Neuron-Variance-Pruning-Demo Public

    An implementation of Variance Pruning: Pruning Language Models via Temporal Neuron Variance by Berry Weinstein, Yonatan Belinkov

    Jupyter Notebook 1

  4. saving-and-loading-large-models-pytorch saving-and-loading-large-models-pytorch Public

    I am using this to load gpt-j-6b to prevent excessive ram usage

    Jupyter Notebook 8 1

  5. auto-function-serving auto-function-serving Public

    A python package to offload a function call to an http server running on localhost automatically using a decorator. Compatible with multiprocessing, pickle, flask, fastapi, async etc..

    Python 1

  6. strongmock strongmock Public

    StrongMock is a powerful mocking library for Python that leverages low-level ctypes functionality to provide extensive mocking capabilities. Some care may be needed while using this.

    Python 2

0