nn VS Basic-UI-for-GPT-J-6B-with-low-vram

Compare nn vs Basic-UI-for-GPT-J-6B-with-low-vram and see what are their differences.

nn

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 (by lab-ml)

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. (by arrmansa)
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nn Basic-UI-for-GPT-J-6B-with-low-vram
26 4
46,249 113
7.2% -
7.7 0.0
5 days ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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nn

Posts with mentions or reviews of nn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

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

Posts with mentions or reviews of Basic-UI-for-GPT-J-6B-with-low-vram. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Basic-UI-for-GPT-J-6B-with-low-vram yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing nn and Basic-UI-for-GPT-J-6B-with-low-vram you can also consider the following projects:

GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN

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

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

functorch - functorch is JAX-like composable function transforms for PyTorch.

ZoeDepth - Metric depth estimation from a single image

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

clip-italian - CLIP (Contrastive Language–Image Pre-training) for Italian

onnx-simplifier - Simplify your onnx model

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

DFL-Colab - DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab