# arrmansa/Basic-UI-for-GPT-J-6B-with-low-vram

<https://repo.masters-masters.com/en/repos/arrmansa/Basic-UI-for-GPT-J-6B-with-low-vram>

[Home](https://repo.masters-masters.com/en) › [arrmansa](https://repo.masters-masters.com/en/owners/arrmansa) › [Basic-UI-for-GPT-J-6B-with-low-vram](https://repo.masters-masters.com/en/repos/arrmansa/Basic-UI-for-GPT-J-6B-with-low-vram)

arrmansa/Basic-UI-for-GPT-J-6B-with-low-vram has 113 stars on GitHub. Its RepoMasters card: Prototype tier. A repository to run gpt-j-6b on low vram machines…

| Field | Value |
| --- | --- |
| Owner | [arrmansa](https://repo.masters-masters.com/en/owners/arrmansa) |
| Stars | 113 |
| Forks | 12 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | gpt-neo, gpt, transformers |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [arrmansa/Basic-UI-for-GPT-J-6B-with-low-vram](https://github.com/arrmansa/Basic-UI-for-GPT-J-6B-with-low-vram) |

## Repository

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.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.