Jupyter Notebook gpt-neo

Open-source Jupyter Notebook projects categorized as gpt-neo

Top 3 Jupyter Notebook gpt-neo Projects

  • Basic-UI-for-GPT-J-6B-with-low-vram

    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.

  • gpt-j-fine-tuning-example

    Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • gpt-neo_dungeon

    Colab notebooks to run a basic AI Dungeon clone using gpt-neo-2.7B

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook gpt-neo related posts

Index

What are some of the best open-source gpt-neo projects in Jupyter Notebook? This list will help you:

Project Stars
1 Basic-UI-for-GPT-J-6B-with-low-vram 113
2 gpt-j-fine-tuning-example 63
3 gpt-neo_dungeon 60

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