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README.md
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@@ -15,6 +15,11 @@ This is a version of `hivemind/gpt-j-6B-8bit` for low-RAM loading, i.e., free Co
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- shards are > 1000MB each
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- a demo notebook of how to use it [is here](https://colab.research.google.com/gist/pszemraj/1c0b32173df5b1efbdb7a2358ed4195b/generate-text-with-an-llm-sharded-on-huggingface.ipynb)
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**Please refer to the [original model card for hivemind/gpt-j-6B-8bit](https://huggingface.co/hivemind/gpt-j-6B-8bit) for all details.**
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## Usage
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- shards are > 1000MB each
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- a demo notebook of how to use it [is here](https://colab.research.google.com/gist/pszemraj/1c0b32173df5b1efbdb7a2358ed4195b/generate-text-with-an-llm-sharded-on-huggingface.ipynb)
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[![colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/gist/pszemraj/1c0b32173df5b1efbdb7a2358ed4195b/generate-text-with-an-llm-sharded-on-huggingface.ipynb)
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**Please refer to the [original model card for hivemind/gpt-j-6B-8bit](https://huggingface.co/hivemind/gpt-j-6B-8bit) for all details.**
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## Usage
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